# This file contains tests for functions in Utilities.R. test_that("organize_args() generates errors when called with baloney", { expect_error(matsbyname:::organize_args(b = 42), "Missing argument a with no fill in organize_args.") expect_error(matsbyname:::organize_args(a = NULL, b = 42), "Null argument a with no fill in organize_args.") expect_error(matsbyname:::organize_args(a = 42), "Missing argument b with no fill in organize_args.") expect_error(matsbyname:::organize_args(a = 42, b = NULL), "Null argument b with no fill in organize_args.") expect_error(matsbyname:::organize_args(a = matrix(1), b = matrix(1), match_type = "bogus"), "Unknown match_type bogus in organize_args.") expect_error(matsbyname:::organize_args(a = matrix(1) %>% setcoltype("col"), b = matrix(1) %>% setrowtype("bogus"), match_type = "matmult")) }) test_that("oddball match_type works as expected", { expect_equal(matsbyname:::organize_args(a = 1, b = 2, match_type = "none"), list(a = 1, b = 2)) expect_error(matsbyname:::organize_args(a = matrix(1), b = matrix(2), match_type = "bogus"), "Unknown match_type bogus in organize_args.") expect_equal(matsbyname:::organize_args(a = matrix(1), b = matrix(2), match_type = "none"), list(a = matrix(1), b = matrix(2))) }) test_that("select_rows_byname() generates an error when no retain or remove patterns are default", { # Check with non-NULL values for a. m <- matrix(1:4, nrow = 2, ncol = 2, dimnames = list(c("r1", "r2"), c("c1", "c2"))) %>% setrowtype("rows") %>% setcoltype("cols") expect_error(m %>% select_rows_byname(), "neither retain_pattern nor remove_pattern are different from default") expect_error(m %>% select_cols_byname(), "neither retain_pattern nor remove_pattern are different from default") }) test_that("select_rows_byname() works with exact matches (^name$)", { m_rownames <- paste0("i", 1:4) m_colnames <- paste0("p", 1:4) m <- matrix(1:16, ncol = 4, dimnames = list(m_rownames, m_colnames)) %>% setrowtype("Industries") %>% setcoltype("Products") # Select only the first row (i1) expect_equal(select_rows_byname(m, retain_pattern = "^i1$"), matrix(c(seq(1, 13, by = 4)), nrow = 1, dimnames = list(c("i1"), m_colnames)) %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m))) # Try same test using the make_or_pattern utility function. expect_equal(select_rows_byname(m, retain_pattern = RCLabels::make_or_pattern(strings = "i1", pattern_type = "exact")), matrix(c(seq(1, 13, by = 4)), nrow = 1, dimnames = list(c("i1"), m_colnames)) %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m))) # Select rows 1 and 4 (i1, i4) expect_equal(select_rows_byname(m, retain_pattern = "^i1$|^i4$"), m[c(1, 4), ] %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m))) # Eliminate row 3 (i3) expect_equal(select_rows_byname(m, remove_pattern = "^i3$"), m[-3, ] %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m))) # Eliminate rows 1 and 3 expect_equal(select_rows_byname(m, remove_pattern = "^i1$|^i3$"), m[c(-1,-3), ] %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m))) # Retain row 4. Retain has precedence over remove. expect_equal(select_rows_byname(m, retain_pattern = "^i4$", remove_pattern = "^i1$|^i3$|^i4$"), matrix(c(seq(4, 16, by = 4)), nrow = 1, dimnames = list(c("i4"), m_colnames)) %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m))) # Matches nothing. NULL is returned. expect_null(select_rows_byname(m, retain_pattern = "^x$")) # Matches nothing. All of m is returned. expect_equal(select_rows_byname(m, remove_pattern = "^x$"), m) # Here is a pathological case where the row name contains ( and ). # ( and ) needs to be escaped properly for use in regex. crazymat <- matrix(1, nrow = 2, ncol = 2, dimnames = list(c("i (1)", "i (2)"), c("p (1)", "p (2)"))) %>% setrowtype("Industries") %>% setcoltype("Prodcuts") expect_equal(select_rows_byname(crazymat, retain_pattern = RCLabels::make_or_pattern(strings = "i (1)", pattern_type = "exact")), matrix(1, nrow = 1, ncol = 2, dimnames = list("i (1)", c("p (1)", "p (2)"))) %>% setrowtype(rowtype(crazymat)) %>% setcoltype(coltype(crazymat))) }) test_that("select_rows_byname() works with exact matches (^name$) for Matrix objects", { m_rownames <- paste0("i", 1:4) m_colnames <- paste0("p", 1:4) M <- matsbyname::Matrix(1:16, nrow = 4, ncol = 4, dimnames = list(m_rownames, m_colnames), rowtype = "Industries", coltype = "Products") # Select only the first row (i1) res <- select_rows_byname(M, retain_pattern = "^i1$") expect_true(is.Matrix(res)) matsbyname:::expect_equal_matrix_or_Matrix(res, matrix(c(seq(1, 13, by = 4)), nrow = 1, dimnames = list(c("i1"), m_colnames)) %>% setrowtype(rowtype(M)) %>% setcoltype(coltype(M))) }) test_that("select_rows_byname() works with inexact matches", { m_rownames <- paste0("i", 1:4) m_colnames <- paste0("p", 1:4) m <- matrix(1:16, ncol = 4, dimnames = list(m_rownames, m_colnames)) %>% setrowtype("Industries") %>% setcoltype("Products") n1 <- setrownames_byname(m, c("a1", "a2", "b1", "b2")) # Matches first two rows, because partial match is OK. expect_equal(select_rows_byname(n1, retain_pattern = "^a"), n1[c(1,2), ] %>% setrowtype(rowtype(n1)) %>% setcoltype(coltype(n1))) # Deletes first two rows, because partial match is OK, and first two row names start with "a". expect_equal(select_rows_byname(n1, remove_pattern = "^a"), n1[c(3,4), ] %>% setrowtype(rowtype(n1)) %>% setcoltype(coltype(n1))) }) test_that("select_rows_byname() works with inexact matches on Matrix objects", { m_rownames <- paste0("i", 1:4) m_colnames <- paste0("p", 1:4) m <- matsbyname::Matrix(1:16, nrow = 4, ncol = 4, dimnames = list(m_rownames, m_colnames), rowtype = "Industries", coltype = "Products") n1 <- setrownames_byname(m, c("a1", "a2", "b1", "b2")) # Matches first two rows, because partial match is OK. res1 <- select_rows_byname(n1, retain_pattern = "^a") expect_true(is.Matrix(res1)) expect_equal(res1, n1[c(1,2), ] %>% setrowtype(rowtype(n1)) %>% setcoltype(coltype(n1))) # Deletes first two rows, because partial match is OK, and first two row names start with "a". res2 <- select_rows_byname(n1, remove_pattern = "^a") matsbyname:::expect_equal_matrix_or_Matrix(res2, n1[c(3,4), ] %>% setrowtype(rowtype(n1)) %>% setcoltype(coltype(n1))) }) test_that("select_rows_byname() works with inexact matches and multiple selectors", { m_rownames <- paste0("i", 1:4) m_colnames <- paste0("p", 1:4) m <- matrix(1:16, ncol = 4, dimnames = list(m_rownames, m_colnames)) %>% setrowtype("Industries") %>% setcoltype("Products") n1 <- setrownames_byname(m, c("a1", "a2", "b1", "b2")) # The retain_pattern selects all rows whose names start with "a" or "b". # This approach should retain rows with names "a1", "a2", "b1", and "b2", i.e., # all rows in n1. expect_equal(select_rows_byname(n1, retain_pattern = "^a|^b"), n1) }) test_that("select_rows_byname() works with inexact matches and multiple selectors for Matrix objects", { m_rownames <- paste0("i", 1:4) m_colnames <- paste0("p", 1:4) m <- matsbyname:::Matrix(1:16, nrow = 4, ncol = 4, dimnames = list(m_rownames, m_colnames), rowtype = "Industries", coltype = "Products") n1 <- setrownames_byname(m, c("a1", "a2", "b1", "b2")) # The retain_pattern selects all rows whose names start with "a" or "b". # This approach should retain rows with names "a1", "a2", "b1", and "b2", i.e., # all rows in n1. expect_equal(select_rows_byname(n1, retain_pattern = "^a|^b"), n1) }) test_that("select_rows_byname() works in lists", { m_rownames <- paste0("i", 1:4) m_colnames <- paste0("p", 1:4) m <- matrix(1:16, ncol = 4, dimnames = list(m_rownames, m_colnames)) %>% setrowtype("Industries") %>% setcoltype("Products") # Use same row names for each item in the list expect_equal(select_rows_byname(list(m,m), retain_pattern = "^i1$|^i4$"), list(m[c(1,4), ] %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m)), m[c(1,4), ] %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m)))) # Using data frames DF <- data.frame(m = I(list())) DF[[1,"m"]] <- m DF[[2,"m"]] <- m DF <- DF %>% dplyr::mutate(trimmed = select_rows_byname(.$m, retain_pattern = RCLabels::make_or_pattern(strings = c("i1", "i2"), pattern_type = "exact"))) DF_expected <- data.frame(m = I(list()), trimmed = I(list())) DF_expected[[1,"m"]] <- m DF_expected[[2,"m"]] <- m DF_expected[[1,"trimmed"]] <- select_rows_byname(m, retain_pattern = "^i1$|^i2$") DF_expected[[2,"trimmed"]] <- select_rows_byname(m, retain_pattern = "^i1$|^i2$") # Need to use "expect_equivalent" because attributes are different # because DF_expected was made differently from how the mutated data fram was made. expect_equal(DF, DF_expected, ignore_attr = TRUE) }) test_that("select_rows_byname() works in lists with Matrix objects", { m_rownames <- paste0("i", 1:4) m_colnames <- paste0("p", 1:4) m <- matsbyname::Matrix(1:16, nrow = 4, ncol = 4, dimnames = list(m_rownames, m_colnames), rowtype = "Industries", coltype = "Products") # Use same row names for each item in the list expect_equal(select_rows_byname(list(m,m), retain_pattern = "^i1$|^i4$"), list(m[c(1,4), ] %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m)), m[c(1,4), ] %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m)))) # Using data frames DF <- data.frame(m = I(list())) DF[[1,"m"]] <- m DF[[2,"m"]] <- m DF <- DF %>% dplyr::mutate(trimmed = select_rows_byname(.$m, retain_pattern = RCLabels::make_or_pattern(strings = c("i1", "i2"), pattern_type = "exact"))) DF_expected <- data.frame(m = I(list()), trimmed = I(list())) DF_expected[[1,"m"]] <- m DF_expected[[2,"m"]] <- m DF_expected[[1,"trimmed"]] <- select_rows_byname(m, retain_pattern = "^i1$|^i2$") DF_expected[[2,"trimmed"]] <- select_rows_byname(m, retain_pattern = "^i1$|^i2$") # Need to use "expect_equivalent" because attributes are different # because DF_expected was made differently from how the mutated data fram was made. expect_equal(DF, DF_expected, ignore_attr = TRUE) }) test_that("select_cols_byname() works with exact matches (^name$)", { m_rownames <- paste0("i", 1:4) m_colnames <- paste0("p", 1:4) m <- matrix(1:16, ncol = 4, dimnames = list(m_rownames, m_colnames)) %>% setrowtype("Industries") %>% setcoltype("Products") # Select only the first column (p1) expect_equal(select_cols_byname(m, retain_pattern = "^p1$"), matrix(1:4, ncol = 1, dimnames = list(m_rownames, c("p1"))) %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m))) # Try same test using the make_or_pattern utility function. expect_equal(select_cols_byname(m, retain_pattern = RCLabels::make_or_pattern(strings = "p1", pattern_type = "exact")), matrix(1:4, ncol = 1, dimnames = list(m_rownames, c("p1"))) %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m))) # Select columns 1 and 4 (p1, p4) expect_equal(select_cols_byname(m, retain_pattern = "^p1$|^p4$"), m[ , c(1, 4)] %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m))) # Eliminate column 3 (p3) expect_equal(select_cols_byname(m, remove_pattern = "^p3$"), m[ , -3] %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m))) # Eliminate columns 1 and 3 expect_equal(select_cols_byname(m, remove_pattern = "^p1$|^p3$"), m[ , c(-1,-3)] %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m))) # Retain column 4. Retain has precedence over remove. expect_equal(select_cols_byname(m, retain_pattern = "^p4$", remove_pattern = "^p1$|^p3$|^p4$"), matrix(13:16, ncol = 1, dimnames = list(m_rownames, c("p4"))) %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m))) # Matches nothing. NULL is returned. expect_null(select_cols_byname(m, retain_pattern = "^x$")) # Matches nothing. All of m is returned. expect_equal(select_cols_byname(m, remove_pattern = "^x$"), m) }) test_that("select_cols_byname() works with exact matches (^name$) and Matrix objects", { m_rownames <- paste0("i", 1:4) m_colnames <- paste0("p", 1:4) m <- matsbyname::Matrix(1:16, nrow = 4, ncol = 4, dimnames = list(m_rownames, m_colnames), rowtype = "Industries", coltype = "Products") # Select only the first column (p1) res1 <- select_cols_byname(m, retain_pattern = "^p1$") expect_true(is.Matrix(res1)) matsbyname:::expect_equal_matrix_or_Matrix(res1, matrix(1:4, ncol = 1, dimnames = list(m_rownames, c("p1"))) %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m))) # Try same test using the make_or_pattern utility function. res2 <- select_cols_byname(m, retain_pattern = RCLabels::make_or_pattern(strings = "p1", pattern_type = "exact")) matsbyname:::expect_equal_matrix_or_Matrix(res2, matrix(1:4, ncol = 1, dimnames = list(m_rownames, c("p1"))) %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m))) # Select columns 1 and 4 (p1, p4) res3 <- select_cols_byname(m, retain_pattern = "^p1$|^p4$") matsbyname:::expect_equal_matrix_or_Matrix(res3, m[ , c(1, 4)] %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m))) # Eliminate column 3 (p3) res4 <- select_cols_byname(m, remove_pattern = "^p3$") matsbyname:::expect_equal_matrix_or_Matrix(res4, m[ , -3] %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m))) # Eliminate columns 1 and 3 res5 <- select_cols_byname(m, remove_pattern = "^p1$|^p3$") matsbyname:::expect_equal_matrix_or_Matrix(res5, m[ , c(-1,-3)] %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m))) # Retain column 4. Retain has precedence over remove. res6 <- select_cols_byname(m, retain_pattern = "^p4$", remove_pattern = "^p1$|^p3$|^p4$") matsbyname:::expect_equal_matrix_or_Matrix(res6, matrix(13:16, ncol = 1, dimnames = list(m_rownames, c("p4"))) %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m))) # Matches nothing. NULL is returned. expect_null(select_cols_byname(m, retain_pattern = "^x$")) # Matches nothing. All of m is returned. expect_equal(select_cols_byname(m, remove_pattern = "^x$"), m) }) test_that("setcolnames_byname() works with inexact matches", { m_rownames <- paste0("i", 1:4) m_colnames <- paste0("p", 1:4) m <- matrix(1:16, ncol = 4, dimnames = list(m_rownames, m_colnames)) %>% setrowtype("Industries") %>% setcoltype("Products") n2 <- setcolnames_byname(m, c("a1", "a2", "b1", "b2")) # Matches first two columns, because partial match is OK. expect_equal(select_cols_byname(n2, retain_pattern = "^a"), n2[ , c(1,2)] %>% setrowtype(rowtype(n2)) %>% setcoltype(coltype(n2))) # Deletes first two columns, because partial match is OK, and first two column names start with "a". expect_equal(select_cols_byname(n2, remove_pattern = "^a"), n2[ , c(3,4)] %>% setrowtype(rowtype(n2)) %>% setcoltype(coltype(n2))) }) test_that("setcolnames_byname() works with inexact matches and Matrix objects", { m_rownames <- paste0("i", 1:4) m_colnames <- paste0("p", 1:4) m <- matsbyname::Matrix(1:16, nrow = 4, ncol = 4, dimnames = list(m_rownames, m_colnames), rowtype = "Industries", coltype = "Products") n2 <- setcolnames_byname(m, c("a1", "a2", "b1", "b2")) # Matches first two columns, because partial match is OK. res1 <- select_cols_byname(n2, retain_pattern = "^a") expect_true(is.Matrix(res1)) expect_equal(res1, n2[ , c(1,2)] %>% setrowtype(rowtype(n2)) %>% setcoltype(coltype(n2))) # Deletes first two columns, because partial match is OK, and first two column names start with "a". matsbyname:::expect_equal_matrix_or_Matrix(select_cols_byname(n2, remove_pattern = "^a"), n2[ , c(3,4)] %>% setrowtype(rowtype(n2)) %>% setcoltype(coltype(n2))) }) test_that("select_cols_byname(0 works with inexact matches and multiple selectors", { m_rownames <- paste0("i", 1:4) m_colnames <- paste0("p", 1:4) m <- matrix(1:16, ncol = 4, dimnames = list(m_rownames, m_colnames)) %>% setrowtype("Industries") %>% setcoltype("Products") n2 <- setcolnames_byname(m, c("a1", "a2", "b1", "b2")) # The retain_pattern selects all columns whose names start with "a" or "b". # This approach should retain columns with names "a1", "a2", "b1", and "b2", i.e., # all columns in n2. expect_equal(select_cols_byname(n2, retain_pattern = "^a|^b"), n2) }) test_that("select_cols_byname(0 works with inexact matches and multiple selectors for Matrix objects", { m_rownames <- paste0("i", 1:4) m_colnames <- paste0("p", 1:4) m <- matsbyname::Matrix(1:16, nrow = 4, ncol = 4, dimnames = list(m_rownames, m_colnames), rowtype = "Industries", coltype = "Products") n2 <- setcolnames_byname(m, c("a1", "a2", "b1", "b2")) # The retain_pattern selects all columns whose names start with "a" or "b". # This approach should retain columns with names "a1", "a2", "b1", and "b2", i.e., # all columns in n2. expect_equal(select_cols_byname(n2, retain_pattern = "^a|^b"), n2) }) test_that("select_cols_byname() works in lists", { m_rownames <- paste0("i", 1:4) m_colnames <- paste0("p", 1:4) m <- matrix(1:16, ncol = 4, dimnames = list(m_rownames, m_colnames)) %>% setrowtype("Industries") %>% setcoltype("Products") # Use same column names for each item in the list expect_equal(select_cols_byname(list(m,m), retain_pattern = "^p1$|^p4$"), list(m[ , c(1,4)] %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m)), m[ , c(1,4)] %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m)))) # Using data frames DF <- data.frame(m = I(list())) DF[[1,"m"]] <- m DF[[2,"m"]] <- m DF <- DF %>% dplyr::mutate(trimmed = select_cols_byname(.$m, retain_pattern = RCLabels::make_or_pattern(strings = c("p1", "p2"), pattern_type = "exact"))) DF_expected <- data.frame(m = I(list()), trimmed = I(list())) DF_expected[[1,"m"]] <- m DF_expected[[2,"m"]] <- m DF_expected[[1,"trimmed"]] <- select_cols_byname(m, retain_pattern = "^p1$|^p2$") DF_expected[[2,"trimmed"]] <- select_cols_byname(m, retain_pattern = "^p1$|^p2$") # Need to use "expect_equivalent" because attributes are different # because DF_expected was made differently from how the mutated data fram was made. expect_equal(DF, DF_expected, ignore_attr = TRUE) }) test_that("select_cols_byname() works in lists for Matrix objects", { m_rownames <- paste0("i", 1:4) m_colnames <- paste0("p", 1:4) m <- matsbyname::Matrix(1:16, nrow = 4, ncol = 4, dimnames = list(m_rownames, m_colnames), rowtype = "Industries", coltype = "Products") # Use same column names for each item in the list res1 <- select_cols_byname(list(m,m), retain_pattern = "^p1$|^p4$") expect_true(is.Matrix(res1[[1]])) expect_true(is.Matrix(res1[[2]])) expect_equal(select_cols_byname(list(m,m), retain_pattern = "^p1$|^p4$"), list(m[ , c(1,4)] %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m)), m[ , c(1,4)] %>% setrowtype(rowtype(m)) %>% setcoltype(coltype(m)))) # Using data frames DF <- data.frame(m = I(list())) DF[[1,"m"]] <- m DF[[2,"m"]] <- m DF <- DF %>% dplyr::mutate(trimmed = select_cols_byname(.$m, retain_pattern = RCLabels::make_or_pattern(strings = c("p1", "p2"), pattern_type = "exact"))) DF_expected <- data.frame(m = I(list()), trimmed = I(list())) DF_expected[[1,"m"]] <- m DF_expected[[2,"m"]] <- m DF_expected[[1,"trimmed"]] <- select_cols_byname(m, retain_pattern = "^p1$|^p2$") DF_expected[[2,"trimmed"]] <- select_cols_byname(m, retain_pattern = "^p1$|^p2$") # Need to use "expect_equivalent" because attributes are different # because DF_expected was made differently from how the mutated data fram was made. expect_equal(DF, DF_expected, ignore_attr = TRUE) }) test_that("select_cols_byname() works for a specific case (Light [from Electric lights])", { mat <- matrix(1:4, nrow = 2, ncol = 2, dimnames = list(c("r1", "r2"), c("c1", "Light [from Electric lights]"))) mat |> # Need to escape the string here, due to "[" and "]" characters. select_cols_byname(Hmisc::escapeRegex("Light [from Electric lights]")) |> expect_equal(mat[ , 2, drop = FALSE]) mat |> # Need to escape the string here, due to "[" and "]" characters. select_cols_byname("Light [from Electric lights]", fixed = TRUE) |> expect_equal(mat[ , 2, drop = FALSE]) }) test_that("select_rows_byname() works even when everything is removed", { m <- matrix(1:4, nrow = 2, ncol = 2, dimnames = list(c("r1", "r2"), c("c1", "c2"))) %>% setrowtype("rows") %>% setcoltype("cols") # Try to remove all rows expect_null(select_rows_byname(m, remove_pattern = "^r")) # Try to remove all columns expect_null(select_cols_byname(m, remove_pattern = "^c")) }) test_that("select_rows_byname() works even when everything is removed with Matrix objects", { m <- matsbyname::Matrix(1:4, nrow = 2, ncol = 2, dimnames = list(c("r1", "r2"), c("c1", "c2")), rowtype = "rows", coltype = "cols") # Try to remove all rows expect_null(select_rows_byname(m, remove_pattern = "^r")) # Try to remove all columns expect_null(select_cols_byname(m, remove_pattern = "^c")) }) test_that("select_rows_byname() works even when there is a NULL situation", { # Check the degenerate condition. expect_null(select_rows_byname(a = NULL)) expect_null(select_cols_byname(a = NULL)) m <- matrix(1:4, nrow = 2, ncol = 2, dimnames = list(c("r1", "r2"), c("c1", "c2"))) %>% setrowtype("rows") %>% setcoltype("cols") # Try with rows expect_equal(m %>% select_rows_byname(retain_pattern = "r1"), matrix(c(1, 3), ncol = 2, dimnames = list("r1", c("c1", "c2"))) %>% setrowtype("rows") %>% setcoltype("cols")) # Should work when there is nothing to select. expect_null(m %>% select_rows_byname(retain_pattern = "r3")) # Try with columns expect_equal(m %>% select_cols_byname(retain_pattern = "c1"), matrix(1:2, nrow = 2, dimnames = list(c("r1", "r2"), "c1")) %>% setrowtype("rows") %>% setcoltype("cols")) # Should work when there is nothing to select. expect_null(m %>% select_cols_byname(retain_pattern = "c3")) }) test_that("select_rows_byname() works even when there is a NULL situation with Matrix objects", { m <- matsbyname::Matrix(1:4, nrow = 2, ncol = 2, dimnames = list(c("r1", "r2"), c("c1", "c2")), rowtype = "rows", coltype = "cols") # Try with rows expect_equal(m %>% select_rows_byname(retain_pattern = "r1"), matsbyname::Matrix(c(1, 3), nrow = 1, ncol = 2, dimnames = list("r1", c("c1", "c2")), rowtype = "rows", coltype = "cols")) # Should work when there is nothing to select. expect_null(m %>% select_rows_byname(retain_pattern = "r3")) # Try with columns expect_equal(m %>% select_cols_byname(retain_pattern = "c1"), matsbyname::Matrix(1:2, nrow = 2, ncol = 1, dimnames = list(c("r1", "r2"), "c1"), rowtype = "rows", coltype = "cols")) # Should work when there is nothing to select. expect_null(m %>% select_cols_byname(retain_pattern = "c3")) }) test_that("select_rowcol_piece_byname() works for selecting rows", { expect_null(select_rowcol_piece_byname(a = NULL)) # Retain a row by its noun. m_1 <- matrix(1:4, nrow = 2, ncol = 2, byrow = TRUE, dimnames = list(c("r1 [from a]", "r2 [from b]"), c("c1 [from c]", "c2 [from d]"))) %>% setrowtype("rows") %>% setcoltype("cols") expected_1 <- matrix(c(1,2), nrow = 1, ncol = 2, byrow = TRUE, dimnames = list("r1 [from a]", c("c1 [from c]", "c2 [from d]"))) %>% matsbyname::setrowtype("rows") %>% setcoltype("cols") res_1 <- select_rowcol_piece_byname(m_1, retain = "r1", piece = "noun", notation = RCLabels::from_notation, margin = 1) expect_equal(res_1, expected_1) # Retain a row by a preposition. expected_2 <- matrix(c(3,4), nrow = 1, ncol = 2, byrow = TRUE, dimnames = list("r2 [from b]", c("c1 [from c]", "c2 [from d]"))) %>% matsbyname::setrowtype("rows") %>% setcoltype("cols") # The next line needs to have bracket_notation. # If from_notation is used, "from" is not a valid piece. res_2 <- select_rowcol_piece_byname(m_1, retain = "b", piece = "from", notation = RCLabels::bracket_notation, margin = 1) expect_equal(res_2, expected_2) # Retain a row by prefix. Should give the same result as expected_2 res_3 <- select_rowcol_piece_byname(m_1, retain = "r2", piece = "pref", notation = RCLabels::from_notation, margin = 1) expect_equal(res_3, expected_2) # Retain a row by suffix res_4 <- select_rowcol_piece_byname(m_1, retain = "a", piece = "suff", notation = RCLabels::from_notation, margin = 1) expect_equal(res_4, expected_1) # Retain a row by prefix res_5 <- select_rowcol_piece_byname(m_1, retain = "r2", piece = "pref", notation = RCLabels::bracket_notation, margin = 1) expect_equal(res_5, expected_2) # Replace based on pattern type res_6 <- select_rowcol_piece_byname(m_1, retain = "2", piece = "noun", pattern_type = "trailing", notation = RCLabels::bracket_notation, margin = 1) expect_equal(res_6, expected_2) }) test_that("select_rowcol_piece_byname() works for selecting rows for Matrix objects", { # Retain a row by its noun. m_1 <- matsbyname::Matrix(1:4, nrow = 2, ncol = 2, byrow = TRUE, dimnames = list(c("r1 [from a]", "r2 [from b]"), c("c1 [from c]", "c2 [from d]")), rowtype = "rows", coltype = "cols") expected_1 <- matsbyname::Matrix(c(1,2), nrow = 1, ncol = 2, byrow = TRUE, dimnames = list("r1 [from a]", c("c1 [from c]", "c2 [from d]")), rowtype = "rows", coltype = "cols") res_1 <- select_rowcol_piece_byname(m_1, retain = "r1", piece = "noun", notation = RCLabels::from_notation, margin = 1) expect_true(is.Matrix(res_1)) expect_equal(res_1, expected_1) # Retain a row by a preposition. expected_2 <- matsbyname::Matrix(c(3,4), nrow = 1, ncol = 2, byrow = TRUE, dimnames = list("r2 [from b]", c("c1 [from c]", "c2 [from d]")), rowtype = "rows", coltype = "cols") # The next line needs to have bracket_notation. # If from_notation is used, "from" is not a valid piece. res_2 <- select_rowcol_piece_byname(m_1, retain = "b", piece = "from", notation = RCLabels::bracket_notation, margin = 1) expect_equal(res_2, expected_2) # Retain a row by prefix. Should give the same result as expected_2 res_3 <- select_rowcol_piece_byname(m_1, retain = "r2", piece = "pref", notation = RCLabels::from_notation, margin = 1) expect_equal(res_3, expected_2) # Retain a row by suffix res_4 <- select_rowcol_piece_byname(m_1, retain = "a", piece = "suff", notation = RCLabels::from_notation, margin = 1) expect_equal(res_4, expected_1) # Retain a row by prefix res_5 <- select_rowcol_piece_byname(m_1, retain = "r2", piece = "pref", notation = RCLabels::bracket_notation, margin = 1) expect_equal(res_5, expected_2) # Replace based on pattern type res_6 <- select_rowcol_piece_byname(m_1, retain = "2", piece = "noun", pattern_type = "trailing", notation = RCLabels::bracket_notation, margin = 1) expect_equal(res_6, expected_2) }) test_that("select_rowcol_piece_byname() works for removing rows from Matrix objects", { m_1 <- matsbyname::Matrix(1:4, nrow = 2, ncol = 2, byrow = TRUE, dimnames = list(c("r1 [from a]", "r2 [from b]"), c("c1 [from c]", "c2 [from d]")), rowtype = "rows", coltype = "cols") # Remove a row by prefix res_1 <- select_rowcol_piece_byname(m_1, remove = "r1", piece = "pref", notation = RCLabels::from_notation, margin = 1) expected_1 <- matsbyname::Matrix(3:4, nrow = 1, ncol = 2, byrow = TRUE, dimnames = list("r2 [from b]", c("c1 [from c]", "c2 [from d]")), rowtype = "rows", coltype = "cols") expect_equal(res_1, expected_1) # Remove a row by suffix res_2 <- select_rowcol_piece_byname(m_1, remove = "b", piece = "suff", notation = RCLabels::from_notation, margin = 1) expected_2 <- matsbyname::Matrix(c(1,2), nrow = 1, ncol = 2, byrow = TRUE, dimnames = list("r1 [from a]", c("c1 [from c]", "c2 [from d]")), rowtype = "rows", coltype = "cols") expect_equal(res_2, expected_2) # Remove a row by preposition res_3 <- select_rowcol_piece_byname(m_1, remove = "a", piece = "from", notation = RCLabels::bracket_notation, margin = 1) expect_equal(res_3, expected_1) # Remove a row by noun res_4 <- select_rowcol_piece_byname(m_1, remove = "r1", piece = "noun", notation = RCLabels::bracket_notation, margin = 1) expect_equal(res_4, expected_1) }) test_that("select_rowcol_piece_byname() works with both retain and remove", { # Retain and remove at same time. Retain should take precedence. m_1 <- matrix(1:4, nrow = 2, ncol = 2, byrow = TRUE, dimnames = list(c("r1 [from a]", "r2 [from b]"), c("c1 [from c]", "c2 [from d]"))) %>% setrowtype("rows") %>% setcoltype("cols") # Remove a row by prefix res_1 <- select_rowcol_piece_byname(m_1, retain = "r1", remove = "r1", piece = "pref", notation = RCLabels::from_notation, margin = 1) expected_1 <- matrix(c(1,2), nrow = 1, ncol = 2, byrow = TRUE, dimnames = list("r1 [from a]", c("c1 [from c]", "c2 [from d]"))) %>% matsbyname::setrowtype("rows") %>% setcoltype("cols") expect_equal(res_1, expected_1) res_2 <- select_rowcol_piece_byname(m_1, retain = "r1", remove = "r2", piece = "pref", notation = RCLabels::from_notation, margin = 1) expect_equal(res_2, expected_1) res_3 <- select_rowcol_piece_byname(m_1, retain = "r2", remove = "r1", piece = "pref", notation = RCLabels::from_notation, margin = 1) expected_2 <- matrix(c(3,4), nrow = 1, ncol = 2, byrow = TRUE, dimnames = list("r2 [from b]", c("c1 [from c]", "c2 [from d]"))) %>% matsbyname::setrowtype("rows") %>% setcoltype("cols") expect_equal(res_3, expected_2) }) test_that("select_rowcol_piece_byname() works with both retain and remove for Matrix objects", { # Retain and remove at same time. Retain should take precedence. m_1 <- matsbyname::Matrix(1:4, nrow = 2, ncol = 2, byrow = TRUE, dimnames = list(c("r1 [from a]", "r2 [from b]"), c("c1 [from c]", "c2 [from d]")), rowtype = "rows", coltype = "cols") # Remove a row by prefix res_1 <- select_rowcol_piece_byname(m_1, retain = "r1", remove = "r1", piece = "pref", notation = RCLabels::from_notation, margin = 1) expect_true(is.Matrix(res_1)) expected_1 <- matsbyname::Matrix(c(1,2), nrow = 1, ncol = 2, byrow = TRUE, dimnames = list("r1 [from a]", c("c1 [from c]", "c2 [from d]")), rowtype = "rows", coltype = "cols") expect_equal(res_1, expected_1) res_2 <- select_rowcol_piece_byname(m_1, retain = "r1", remove = "r2", piece = "pref", notation = RCLabels::from_notation, margin = 1) expect_equal(res_2, expected_1) res_3 <- select_rowcol_piece_byname(m_1, retain = "r2", remove = "r1", piece = "pref", notation = RCLabels::from_notation, margin = 1) expected_2 <- matsbyname::Matrix(c(3,4), nrow = 1, ncol = 2, byrow = TRUE, dimnames = list("r2 [from b]", c("c1 [from c]", "c2 [from d]")), rowtype = "rows", coltype = "cols") expect_equal(res_3, expected_2) }) test_that("select_rowcol_piece_byname() works with both retain and remove", { # Retain and remove at same time. Retain should take precedence. m_1 <- matrix(1:4, nrow = 2, ncol = 2, byrow = TRUE, dimnames = list(c("r1 [from a]", "r2 [from b]"), c("c1 [from c]", "c2 [from d]"))) %>% setrowtype("rows") %>% setcoltype("cols") # Remove a row by prefix res_1 <- select_rowcol_piece_byname(m_1, retain = "r1", remove = "r1", piece = "pref", notation = RCLabels::from_notation, margin = 1) expected_1 <- matrix(c(1,2), nrow = 1, ncol = 2, byrow = TRUE, dimnames = list("r1 [from a]", c("c1 [from c]", "c2 [from d]"))) %>% matsbyname::setrowtype("rows") %>% setcoltype("cols") expect_equal(res_1, expected_1) res_2 <- select_rowcol_piece_byname(m_1, retain = "r1", remove = "r2", piece = "pref", notation = RCLabels::from_notation, margin = 1) expect_equal(res_2, expected_1) res_3 <- select_rowcol_piece_byname(m_1, retain = "r2", remove = "r1", piece = "pref", notation = RCLabels::from_notation, margin = 1) expected_2 <- matrix(c(3,4), nrow = 1, ncol = 2, byrow = TRUE, dimnames = list("r2 [from b]", c("c1 [from c]", "c2 [from d]"))) %>% matsbyname::setrowtype("rows") %>% setcoltype("cols") expect_equal(res_3, expected_2) }) test_that("select_rowcol_piece_byname() works with both retain and remove for Matrix objects", { # Retain and remove at same time. Retain should take precedence. m_1 <- matsbyname::Matrix(1:4, nrow = 2, ncol = 2, byrow = TRUE, dimnames = list(c("r1 [from a]", "r2 [from b]"), c("c1 [from c]", "c2 [from d]")), rowtype = "rows", coltype = "cols") # Remove a row by prefix res_1 <- select_rowcol_piece_byname(m_1, retain = "r1", remove = "r1", piece = "pref", notation = RCLabels::from_notation, margin = 1) expect_true(is.Matrix(res_1)) expected_1 <- matsbyname::Matrix(c(1,2), nrow = 1, ncol = 2, byrow = TRUE, dimnames = list("r1 [from a]", c("c1 [from c]", "c2 [from d]")), rowtype = "rows", coltype = "cols") expect_equal(res_1, expected_1) res_2 <- select_rowcol_piece_byname(m_1, retain = "r1", remove = "r2", piece = "pref", notation = RCLabels::from_notation, margin = 1) expect_equal(res_2, expected_1) res_3 <- select_rowcol_piece_byname(m_1, retain = "r2", remove = "r1", piece = "pref", notation = RCLabels::from_notation, margin = 1) expected_2 <- matsbyname::Matrix(c(3,4), nrow = 1, ncol = 2, byrow = TRUE, dimnames = list("r2 [from b]", c("c1 [from c]", "c2 [from d]")), rowtype = "rows", coltype = "cols") expect_equal(res_3, expected_2) }) test_that("select_rowcol_piece_byname() works when selecting columns", { m_1 <- matrix(1:4, nrow = 2, ncol = 2, byrow = TRUE, dimnames = list(c("r1 [from a]", "r2 [from b]"), c("c1 [from c]", "c2 [from d]"))) %>% setrowtype("rows") %>% setcoltype("cols") res_1 <- select_rowcol_piece_byname(m_1, retain = "c1", piece = "noun", notation = RCLabels::from_notation, margin = 2) expected_1 <- matrix(c(1, 3), nrow = 2, ncol = 1, byrow = TRUE, dimnames = list(c("r1 [from a]", "r2 [from b]"), "c1 [from c]")) %>% setrowtype("rows") %>% setcoltype("cols") expect_equal(res_1, expected_1) # Deselect a column res_2 <- select_rowcol_piece_byname(m_1, remove = "c2", piece = "noun", notation = RCLabels::bracket_notation, margin = 2) expect_equal(res_2, expected_1) }) test_that("select_rowcol_piece_byname() works when selecting columns in Matrix objects", { m_1 <- matsbyname::Matrix(1:4, nrow = 2, ncol = 2, byrow = TRUE, dimnames = list(c("r1 [from a]", "r2 [from b]"), c("c1 [from c]", "c2 [from d]")), rowtype = "rows", coltype = "cols") res_1 <- select_rowcol_piece_byname(m_1, retain = "c1", piece = "noun", notation = RCLabels::from_notation, margin = 2) expect_true(is.Matrix(res_1)) expected_1 <- matsbyname::Matrix(c(1, 3), nrow = 2, ncol = 1, byrow = TRUE, dimnames = list(c("r1 [from a]", "r2 [from b]"), "c1 [from c]"), rowtype = "rows", coltype = "cols") expect_equal(res_1, expected_1) # Deselect a column res_2 <- select_rowcol_piece_byname(m_1, remove = "c2", piece = "noun", notation = RCLabels::bracket_notation, margin = 2) expect_equal(res_2, expected_1) }) test_that("select_rowcol_piece_byname() examples work as intended", { m <- matsbyname::Matrix(1:4, nrow = 2, ncol = 2, byrow = TRUE, dimnames = list(c("r1 [to a]", "r2 [to b]"), c("c1 [from c]", "c2 [from d]")), rowtype = "rows", coltype = "cols") res <- select_rowcol_piece_byname(m, retain = "r1", piece = "noun", notation = RCLabels::to_notation, margin = 1) expect_true(is.Matrix(res)) expected <- matsbyname::Matrix(c(1,2), nrow = 1, ncol = 2, byrow = TRUE, dimnames = list("r1 [to a]", c("c1 [from c]", "c2 [from d]")), rowtype = "rows", coltype = "cols") expect_equal(res, expected) res_2 <- select_rowcol_piece_byname(m, retain = "c", piece = "from", notation = RCLabels::bracket_notation, margin = 2) expected_2 <- matsbyname::Matrix(c(1,3), nrow = 2, ncol = 1, byrow = TRUE, dimnames = list(c("r1 [to a]", "r2 [to b]"), c("c1 [from c]")), rowtype = "rows", coltype = "cols") expect_equal(res_2, expected_2) }) test_that("select_rowcol_piece_byname() works when specifying both rows and cols", { m <- matrix(1:4, nrow = 2, ncol = 2, byrow = TRUE, dimnames = list(c("r1 [to a]", "r2 [to b]"), c("c1 [from c]", "c2 [from d]"))) %>% setrowtype("rows") %>% setcoltype("cols") # Use default margin (c(1,2)). res <- select_rowcol_piece_byname(m, retain = c("r1", "c1", "r3", "c3"), piece = "noun", notation = RCLabels::bracket_notation) expected <- matrix(1, nrow = 1, ncol = 1, dimnames = list("r1 [to a]", "c1 [from c]")) %>% matsbyname::setrowtype("rows") %>% setcoltype("cols") expect_equal(res, expected) }) test_that("select_rowcol_piece_byname() works when specifying both rows and cols in Matrix objects", { m <- matsbyname::Matrix(1:4, nrow = 2, ncol = 2, byrow = TRUE, dimnames = list(c("r1 [to a]", "r2 [to b]"), c("c1 [from c]", "c2 [from d]")), rowtype = "rows", coltype = "cols") # Use default margin (c(1,2)). res <- select_rowcol_piece_byname(m, retain = c("r1", "c1", "r3", "c3"), piece = "noun", notation = RCLabels::bracket_notation) expect_true(is.Matrix(res)) expected <- matsbyname::Matrix(1, nrow = 1, ncol = 1, dimnames = list("r1 [to a]", "c1 [from c]"), rowtype = "rows", coltype = "cols") expect_equal(res, expected) }) test_that("select_rowcol_piece_byname() works in a list and a data frame", { m <- matrix(1:4, nrow = 2, ncol = 2, byrow = TRUE, dimnames = list(c("r1 [to a]", "r2 [to b]"), c("c1 [from c]", "c2 [from d]"))) %>% setrowtype("rows") %>% setcoltype("cols") n <- matrix(1:9, nrow = 3, ncol = 3, byrow = TRUE, dimnames = list(c("r1 [to a]", "r2 [to b]", "r3 [to c]"), c("c1 [from d]", "c2 [from e]", "c3 [from f]"))) %>% setrowtype("rows") %>% setcoltype("cols") # Try in a list res <- list(m, n) %>% select_rowcol_piece_byname(retain = c("r1", "r2"), piece = "noun", notation = RCLabels::bracket_notation, margin = 1) expected_m <- m # No change, because only rows r1 and r2 # Eliminates r3. expected_n <- matrix(1:6, nrow = 2, ncol = 3, byrow = TRUE, dimnames = list(c("r1 [to a]", "r2 [to b]"), c("c1 [from d]", "c2 [from e]", "c3 [from f]"))) %>% setrowtype("rows") %>% setcoltype("cols") expect_equal(res, list(expected_m, expected_n)) # Try in a data frame. res_df <- tibble::tibble(mats = list(m, n)) %>% dplyr::mutate( r1r2 = select_rowcol_piece_byname(mats, retain = c("r1", "r2"), piece = "noun", notation = RCLabels::bracket_notation, margin = 1) ) expect_equal(res_df$r1r2, list(expected_m, expected_n)) }) test_that("select_rowcol_piece_byname() works in a list and a data frame of Matrix objects", { m <- matsbyname::Matrix(1:4, nrow = 2, ncol = 2, byrow = TRUE, dimnames = list(c("r1 [to a]", "r2 [to b]"), c("c1 [from c]", "c2 [from d]")), rowtype = "rows", coltype = "cols") n <- matsbyname::Matrix(1:9, nrow = 3, ncol = 3, byrow = TRUE, dimnames = list(c("r1 [to a]", "r2 [to b]", "r3 [to c]"), c("c1 [from d]", "c2 [from e]", "c3 [from f]")), rowtype = "rows", coltype = "cols") # Try in a list res <- list(m, n) %>% select_rowcol_piece_byname(retain = c("r1", "r2"), piece = "noun", notation = RCLabels::bracket_notation, margin = 1) expect_true(all(sapply(res, is.Matrix))) expected_m <- m # No change, because only rows r1 and r2 # Eliminates r3. expected_n <- matsbyname::Matrix(1:6, nrow = 2, ncol = 3, byrow = TRUE, dimnames = list(c("r1 [to a]", "r2 [to b]"), c("c1 [from d]", "c2 [from e]", "c3 [from f]")), rowtype = "rows", coltype = "cols") expect_equal(res, list(expected_m, expected_n)) # Try in a data frame. res_df <- tibble::tibble(mats = list(m, n)) %>% dplyr::mutate( r1r2 = select_rowcol_piece_byname(mats, retain = c("r1", "r2"), piece = "noun", notation = RCLabels::bracket_notation, margin = 1) ) expect_equal(res_df$r1r2, list(expected_m, expected_n)) }) test_that("select_rowcol_piece_byname() interprets margins correctly", { m <- matrix(1:4, nrow = 2, ncol = 2, byrow = TRUE, dimnames = list(c("r1 [to a]", "r2 [to b]"), c("c1 [from c]", "c2 [from d]"))) %>% setrowtype("rows") %>% setcoltype("cols") n <- matrix(1:9, nrow = 3, ncol = 3, byrow = TRUE, dimnames = list(c("r1 [to a]", "r2 [to b]", "r3 [to c]"), c("c1 [from d]", "c2 [from e]", "c3 [from f]"))) %>% setrowtype("rows") %>% setcoltype("cols") expected_m <- matrix(c(2,4), nrow = 2, ncol = 1, byrow = TRUE, dimnames = list(c("r1 [to a]", "r2 [to b]"), "c2 [from d]")) %>% setrowtype("rows") %>% setcoltype("cols") expected_n <- matrix(c(1, 4, 7), nrow = 3, ncol = 1, byrow = TRUE, dimnames = list(c("r1 [to a]", "r2 [to b]", "r3 [to c]"), "c1 [from d]")) %>% setrowtype("rows") %>% setcoltype("cols") res_df <- tibble::tibble(mats = list(m, n)) %>% dplyr::mutate( res_col = select_rowcol_piece_byname(mats, retain = "d", piece = "from", notation = RCLabels::bracket_notation, margin = "cols") ) expect_equal(res_df$res_col, list(expected_m, expected_n)) res_df_2 <- tibble::tibble(mats = list(m, transpose_byname(n))) %>% dplyr::mutate( # Picks up the correct margin with the string. res_col = select_rowcol_piece_byname(mats, retain = "d", piece = "from", notation = RCLabels::bracket_notation, margin = "cols") ) expect_equal(res_df_2$res_col, list(expected_m, transpose_byname(expected_n))) }) test_that("select_rowcol_piece_byname() interprets margins correctly for Matrix objects", { m <- matsbyname::Matrix(1:4, nrow = 2, ncol = 2, byrow = TRUE, dimnames = list(c("r1 [to a]", "r2 [to b]"), c("c1 [from c]", "c2 [from d]")), rowtype = "rows", coltype = "cols") n <- matsbyname::Matrix(1:9, nrow = 3, ncol = 3, byrow = TRUE, dimnames = list(c("r1 [to a]", "r2 [to b]", "r3 [to c]"), c("c1 [from d]", "c2 [from e]", "c3 [from f]")), rowtype = "rows", coltype = "cols") expected_m <- matsbyname::Matrix(c(2,4), nrow = 2, ncol = 1, byrow = TRUE, dimnames = list(c("r1 [to a]", "r2 [to b]"), "c2 [from d]"), rowtype = "rows", coltype = "cols") expected_n <- matsbyname::Matrix(c(1, 4, 7), nrow = 3, ncol = 1, byrow = TRUE, dimnames = list(c("r1 [to a]", "r2 [to b]", "r3 [to c]"), "c1 [from d]"), rowtype = "rows", coltype = "cols") res_df <- tibble::tibble(mats = list(m, n)) %>% dplyr::mutate( res_col = select_rowcol_piece_byname(mats, retain = "d", piece = "from", notation = RCLabels::bracket_notation, margin = "cols") ) expect_equal(res_df$res_col, list(expected_m, expected_n)) res_df_2 <- tibble::tibble(mats = list(m, transpose_byname(n))) %>% dplyr::mutate( # Picks up the correct margin with the string. res_col = select_rowcol_piece_byname(mats, retain = "d", piece = "from", notation = RCLabels::bracket_notation, margin = "cols") ) expect_true(all(sapply(res_df_2$res_col, is.Matrix))) expect_equal(res_df_2$res_col, list(expected_m, transpose_byname(expected_n))) }) test_that("select_rowcol_piece_byname() works with notation inference", { m_1 <- matrix(1:4, nrow = 2, ncol = 2, byrow = TRUE, dimnames = list(c("r1 [from a]", "r2 [from b]"), c("c1 [from c]", "c2 [from d]"))) %>% setrowtype("rows") %>% setcoltype("cols") expected_1 <- matrix(c(1,2), nrow = 1, ncol = 2, byrow = TRUE, dimnames = list("r1 [from a]", c("c1 [from c]", "c2 [from d]"))) %>% matsbyname::setrowtype("rows") %>% setcoltype("cols") # Don't specify notation to force inference. res_1 <- select_rowcol_piece_byname(m_1, retain = "r1", piece = "noun", margin = 1) expect_equal(res_1, expected_1) }) test_that("select_rowcol_piece_byname() works with notation inference in Matrix objects", { m_1 <- matsbyname::Matrix(1:4, nrow = 2, ncol = 2, byrow = TRUE, dimnames = list(c("r1 [from a]", "r2 [from b]"), c("c1 [from c]", "c2 [from d]")), rowtype = "rows", coltype = "cols") expected_1 <- matsbyname::Matrix(c(1,2), nrow = 1, ncol = 2, byrow = TRUE, dimnames = list("r1 [from a]", c("c1 [from c]", "c2 [from d]")), rowtype = "rows", coltype = "cols") # Don't specify notation to force inference. res_1 <- select_rowcol_piece_byname(m_1, retain = "r1", piece = "noun", margin = 1) expect_true(is.Matrix(res_1)) expect_equal(res_1, expected_1) }) test_that("select_rowcol_piece_byname() works when all rows or all cols are removed", { m_1 <- matrix(1:4, nrow = 2, ncol = 2, byrow = TRUE, dimnames = list(c("r1 [from a]", "r2 [from b]"), c("c1 [from c]", "c2 [from d]"))) %>% setrowtype("rows") %>% setcoltype("cols") res_1 <- select_rowcol_piece_byname(m_1, retain = "bogus", piece = "noun", margin = 1) expect_null(res_1) res_2 <- select_rowcol_piece_byname(m_1, retain = "bogus", piece = "all", margin = 2) expect_null(res_2) # Try in a data frame df <- tibble::tibble(m = list(m_1, m_1)) %>% dplyr::mutate( res = select_rowcol_piece_byname(m, retain = "bogus", piece = "all", margin = 1) ) expect_null(df$res[[1]]) expect_null(df$res[[2]]) }) test_that("select_rowcol_piece_byname() works when all rows or all cols are removed in a Matrix object", { m_1 <- matsbyname::Matrix(1:4, nrow = 2, ncol = 2, byrow = TRUE, dimnames = list(c("r1 [from a]", "r2 [from b]"), c("c1 [from c]", "c2 [from d]")), rowtype = "rows", coltype = "cols") res_1 <- select_rowcol_piece_byname(m_1, retain = "bogus", piece = "noun", margin = 1) expect_null(res_1) res_2 <- select_rowcol_piece_byname(m_1, retain = "bogus", piece = "all", margin = 2) expect_null(res_2) # Try in a data frame df <- tibble::tibble(m = list(m_1, m_1)) %>% dplyr::mutate( res = select_rowcol_piece_byname(m, retain = "bogus", piece = "all", margin = 1) ) expect_null(df$res[[1]]) expect_null(df$res[[2]]) }) test_that("setrownames_byname() and setcolnames_byname() works even when there is a NULL situation", { m <- matrix(1:4, nrow = 2, ncol = 2, dimnames = list(c("r1", "r2"), c("c1", "c2"))) %>% setrowtype("rows") %>% setcoltype("cols") # Try with rows expect_equal(m %>% setrownames_byname(c("a", "b")), matrix(1:4, nrow = 2, ncol = 2, dimnames = list(c("a", "b"), c("c1", "c2"))) %>% setrowtype("rows") %>% setcoltype("cols")) expect_null(setrownames_byname(NULL, c("a", "b"))) # Try with columns expect_equal(m %>% setcolnames_byname(c("a", "b")), matrix(1:4, nrow = 2, ncol = 2, dimnames = list(c("r1", "r2"), c("a", "b"))) %>% setrowtype("rows") %>% setcoltype("cols")) expect_null(setcolnames_byname(NULL, c("a", "b"))) }) test_that("setrownames_byname() and setcolnames_byname() works even when there is a NULL situation", { m <- matsbyname::Matrix(1:4, nrow = 2, ncol = 2, dimnames = list(c("r1", "r2"), c("c1", "c2")), rowtype = "rows", coltype = "cols") # Try with rows expected1 <- matsbyname::Matrix(1:4, nrow = 2, ncol = 2, dimnames = list(c("a", "b"), c("c1", "c2")), rowtype = "rows", coltype = "cols") res1 <- m %>% setrownames_byname(c("a", "b")) expect_true(is.Matrix(res1)) matsbyname:::expect_equal_matrix_or_Matrix(res1, expected1) # Try with columns expected2 <- matrix(1:4, nrow = 2, ncol = 2, dimnames = list(c("r1", "r2"), c("a", "b"))) %>% setrowtype("rows") %>% setcoltype("cols") res2 <- m %>% setcolnames_byname(c("a", "b")) expect_true(is.Matrix(res2)) matsbyname:::expect_equal_matrix_or_Matrix(res2, expected2) }) test_that("clean_byname() works with bad margins", { m <- matrix(c(0, 0, 0, 1, 2, 3), nrow = 3, ncol = 2, dimnames = list(c("r1", "r2", "r3"), c("c1", "c2"))) expect_error(clean_byname(m, margin = 42), "margin = 42 in clean_byname\\(\\). Must be 1 or 2.") }) test_that("clean_byname() works with bad margins on a Matrix", { m <- matsbyname::Matrix(c(0, 0, 0, 1, 2, 3), nrow = 3, ncol = 2, dimnames = list(c("r1", "r2", "r3"), c("c1", "c2"))) expect_error(clean_byname(m, margin = 42), "margin = 42 in clean_byname\\(\\). Must be 1 or 2.") }) test_that("clean_byname() works for both rows and cols", { m <- matrix(c(0, 0, 0, 1, 2, 3), nrow = 3, ncol = 2, dimnames = list(c("r1", "r2", "r3"), c("c1", "c2"))) expect_equal(clean_byname(m), matrix(1:3, nrow = 3, ncol = 1, dimnames = list(c("r1", "r2", "r3"), "c2"))) }) test_that("clean_byname() works for both rows and cols in a Matrix", { m <- matsbyname::Matrix(c(0, 0, 0, 1, 2, 3), nrow = 3, ncol = 2, dimnames = list(c("r1", "r2", "r3"), c("c1", "c2"))) matsbyname:::expect_equal_matrix_or_Matrix(clean_byname(m), matrix(1:3, nrow = 3, ncol = 1, dimnames = list(c("r1", "r2", "r3"), "c2"))) }) test_that("clean_byname() works for a vector", { v <- matrix(c(0, 0, 0, 42), nrow = 4, dimnames = list(c("r1", "r2", "r3", "r4"), c("c1"))) expect_equal(clean_byname(v), matrix(42, dimnames = list(c("r4"), c("c1")))) }) test_that("clean_byname() works for a vector Matrix object", { v <- matsbyname::Matrix(c(0, 0, 0, 42), nrow = 4, dimnames = list(c("r1", "r2", "r3", "r4"), c("c1"))) res <- clean_byname(v) expect_true(is.Matrix(res)) matsbyname:::expect_equal_matrix_or_Matrix(res, matrix(42, dimnames = list(c("r4"), c("c1")))) }) test_that("clean_byname() works with unnamed rows and/or columns", { v <- matrix(c(0, 0, 0, 42), nrow = 4, dimnames = list(c("r1", "r2", "r3", "r4"))) expect_equal(clean_byname(v), matrix(42, nrow = 1, byrow = TRUE, dimnames = list(c("r4"), c(NULL)))) unnamed <- matrix(c(1, 2, 0, 3, 4, 0, 5, 6, 0, 0, 0, 0), nrow = 4, byrow = TRUE) expect_equal(clean_byname(unnamed), matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, byrow = TRUE)) }) test_that("clean_byname() works with unnamed rows and/or columns that are Matrix objects", { v <- matsbyname::Matrix(c(0, 0, 0, 42), nrow = 4, dimnames = list(c("r1", "r2", "r3", "r4"), NULL)) matsbyname:::expect_equal_matrix_or_Matrix(clean_byname(v), matrix(42, nrow = 1, byrow = TRUE, dimnames = list(c("r4"), c(NULL)))) unnamed <- matsbyname::Matrix(c(1, 2, 0, 3, 4, 0, 5, 6, 0, 0, 0, 0), nrow = 4, ncol = 3, byrow = TRUE) matsbyname:::expect_equal_matrix_or_Matrix(clean_byname(unnamed), matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, byrow = TRUE)) }) test_that("clean_byname() works with tolerance", { unnamed <- matrix(c(1, 2, 0.1, 3, 4, -0.1, 5, 6, 0.05, 0.01, -0.01, -0.05), nrow = 4, byrow = TRUE) expect_equal(clean_byname(unnamed, tol = 0.1), matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, byrow = TRUE)) # Tighten tolerance to get different result. expect_equal(clean_byname(unnamed, tol = 0.0999), matrix(c(1, 2, 0.1, 3, 4, -0.1, 5, 6, 0.05), nrow = 3, byrow = TRUE)) }) test_that("clean_byname() works with tolerance for Matrix objects", { unnamed <- matsbyname::Matrix(c(1, 2, 0.1, 3, 4, -0.1, 5, 6, 0.05, 0.01, -0.01, -0.05), nrow = 4, ncol = 3, byrow = TRUE) res <- clean_byname(unnamed, tol = 0.1) expect_true(is.Matrix(res)) matsbyname:::expect_equal_matrix_or_Matrix(res, matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, byrow = TRUE)) # Tighten tolerance to get different result. res2 <- clean_byname(unnamed, tol = 0.0999) matsbyname:::expect_equal_matrix_or_Matrix(res2, matrix(c(1, 2, 0.1, 3, 4, -0.1, 5, 6, 0.05), nrow = 3, byrow = TRUE)) }) test_that("iszero_byname() works as expected", { m <- matrix(0, nrow = 3, ncol = 2) expect_true(iszero_byname(m)) n <- matrix(1, nrow = 42, ncol = 5) expect_false(iszero_byname(n)) }) test_that("iszero_byname() works with Matrix objects", { m <- matsbyname::Matrix(0, nrow = 3, ncol = 2) expect_true(iszero_byname(m)) n <- matsbyname::Matrix(1, nrow = 42, ncol = 5) expect_false(iszero_byname(n)) }) test_that("selectzerorows_byname() works as expected", { expect_null(selectzerorows_byname(NULL)) fail <- matrix(c(1, 0, 1, 1, 0, 1), dimnames = list(c("r1", "r2"), c("c1", "c2", "c3")), nrow = 2, ncol = 3, byrow = TRUE) %>% setrowtype("rows") %>% setcoltype("cols") expected_fail <- fail[0, , drop = FALSE] %>% setrowtype("rows") %>% setcoltype("cols") expect_equal(selectzerorows_byname(fail), expected_fail) succeed <- matrix(c(0, 0, 1, 0, 0, 0), dimnames = list(c("r1", "r2"), c("c1", "c2", "c3")), nrow = 2, ncol = 3, byrow = TRUE) %>% setrowtype("rows") %>% setcoltype("cols") expected_succeed <- succeed[2, , drop = FALSE] %>% setrowtype("rows") %>% setcoltype("cols") expect_equal(selectzerorows_byname(succeed), expected_succeed) }) test_that("selectzerorows_byname() works as expected with Matrix objects", { fail <- matsbyname::Matrix(c(1, 0, 1, 1, 0, 1), dimnames = list(c("r1", "r2"), c("c1", "c2", "c3")), nrow = 2, ncol = 3, byrow = TRUE, rowtype = "rows", coltype = "cols") expect_true(is.Matrix(fail)) expected_fail <- fail[0, , drop = FALSE] %>% setrowtype("rows") %>% setcoltype("cols") expect_equal(selectzerorows_byname(fail), expected_fail) succeed <- matsbyname::Matrix(c(0, 0, 1, 0, 0, 0), dimnames = list(c("r1", "r2"), c("c1", "c2", "c3")), nrow = 2, ncol = 3, byrow = TRUE, rowtype = "rows", coltype = "cols") expected_succeed <- succeed[2, , drop = FALSE] %>% setrowtype("rows") %>% setcoltype("cols") expect_equal(selectzerorows_byname(succeed), expected_succeed) }) test_that("selectzerocols_byname() works as expected", { expect_null(selectzerocols_byname(NULL)) m <- matrix(c(1, 0, 1, 1, 0, 1), dimnames = list(c("r1", "r2"), c("c1", "c2", "c3")), nrow = 2, ncol = 3, byrow = TRUE) %>% setrowtype("rows") %>% setcoltype("cols") expected_m <- m[ , 2, drop = FALSE] %>% setrowtype("rows") %>% setcoltype("cols") expect_equal(selectzerocols_byname(m), expected_m) m2 <- matrix(c(0, 0, 1, 0, 0, 0), dimnames = list(c("r1", "r2"), c("c1", "c2", "c3")), nrow = 2, ncol = 3, byrow = TRUE) %>% setrowtype("rows") %>% setcoltype("cols") expected_m2 <- m2[, 1:2, drop = FALSE] %>% setrowtype("rows") %>% setcoltype("cols") expect_equal(selectzerocols_byname(m2), expected_m2) }) test_that("selectzerocols_byname() works with Matrix objects", { m <- matsbyname::Matrix(c(1, 0, 1, 1, 0, 1), dimnames = list(c("r1", "r2"), c("c1", "c2", "c3")), nrow = 2, ncol = 3, byrow = TRUE, rowtype = "rows", coltype = "cols") expected_m <- m[ , 2, drop = FALSE] %>% setrowtype("rows") %>% setcoltype("cols") res <- selectzerocols_byname(m) expect_true(is.Matrix(res)) expect_equal(res, expected_m) m2 <- matsbyname::Matrix(c(0, 0, 1, 0, 0, 0), dimnames = list(c("r1", "r2"), c("c1", "c2", "c3")), nrow = 2, ncol = 3, byrow = TRUE, rowtype = "rows", coltype = "cols") expected_m2 <- m2[, 1:2, drop = FALSE] %>% setrowtype("rows") %>% setcoltype("cols") expect_equal(selectzerocols_byname(m2), expected_m2) }) test_that("getzerorowcolnames_byname() works as expected", { m <- matrix(c(1, 0, 1, 1, 0, 1), dimnames = list(c("r1", "r2"), c("c1", "c2", "c3")), nrow = 2, ncol = 3, byrow = TRUE) %>% setrowtype("rows") %>% setcoltype("cols") expect_equal(getzerorowcolnames_byname(m), "c2") expect_equal(getzerorowcolnames_byname(list(m, m)), list("c2", "c2")) m2 <- matrix(c(1, 0, 1, 1, 0, 0, 0, 0, 0), dimnames = list(c("r1", "r2", "r3"), c("c1", "c2", "c3")), nrow = 3, ncol = 3, byrow = TRUE) expect_equal(getzerorowcolnames_byname(m2), c("r3", "c2")) expect_equal(getzerorowcolnames_byname(list(m2, m2)), list(c("r3", "c2"), c("r3", "c2"))) }) test_that("getzerorowcolnames_byname() works with Matrix objects", { m <- matsbyname::Matrix(c(1, 0, 1, 1, 0, 1), dimnames = list(c("r1", "r2"), c("c1", "c2", "c3")), nrow = 2, ncol = 3, byrow = TRUE, rowtype = "rows", coltype = "cols") res <- getzerorowcolnames_byname(m) expect_equal(res, "c2") expect_equal(getzerorowcolnames_byname(list(m, m)), list("c2", "c2")) m2 <- matsbyname::Matrix(c(1, 0, 1, 1, 0, 0, 0, 0, 0), dimnames = list(c("r1", "r2", "r3"), c("c1", "c2", "c3")), nrow = 3, ncol = 3, byrow = TRUE) expect_equal(getzerorowcolnames_byname(m2), c("r3", "c2")) expect_equal(getzerorowcolnames_byname(list(m2, m2)), list(c("r3", "c2"), c("r3", "c2"))) }) test_that("getrownames_byname() works as expected", { m <- matrix(c(1:6), nrow = 2, dimnames = list(paste0("i", 1:2), paste0("p", 1:3))) %>% setrowtype("Industries") %>% setcoltype("Products") expect_equal(getrownames_byname(m), c("i1", "i2")) # This also works for lists expect_equal(getrownames_byname(list(m,m)), list(c("i1", "i2"), c("i1", "i2"))) # Also works for data frames DF <- data.frame(m = I(list())) DF[[1,"m"]] <- m DF[[2,"m"]] <- m expect_equal(getrownames_byname(DF$m), list(c("i1", "i2"), c("i1", "i2"))) }) test_that("getrownames_byname() works with Matrix objects", { m <- matsbyname::Matrix(c(1:6), nrow = 2, ncol = 3, dimnames = list(paste0("i", 1:2), paste0("p", 1:3)), rowtype = "Industries", coltype = "Products") expect_equal(getrownames_byname(m), c("i1", "i2")) # This also works for lists expect_equal(getrownames_byname(list(m,m)), list(c("i1", "i2"), c("i1", "i2"))) # Also works for data frames DF <- data.frame(m = I(list())) DF[[1,"m"]] <- m DF[[2,"m"]] <- m expect_equal(getrownames_byname(DF$m), list(c("i1", "i2"), c("i1", "i2"))) }) test_that("getcolnames_byname() works as expected", { m <- matrix(c(1:6), nrow = 2, dimnames = list(paste0("i", 1:2), paste0("p", 1:3))) %>% setrowtype("Industries") %>% setcoltype("Products") expect_equal(getcolnames_byname(m), c("p1", "p2", "p3")) # This also works for lists expect_equal(getcolnames_byname(list(m,m)), list(c("p1", "p2", "p3"), c("p1", "p2", "p3"))) # Also works for data frames DF <- data.frame(m = I(list())) DF[[1,"m"]] <- m DF[[2,"m"]] <- m expect_equal(getcolnames_byname(DF$m), list(c("p1", "p2", "p3"), c("p1", "p2", "p3"))) }) test_that("getcolnames_byname() works with Matrix objects", { m <- matsbyname::Matrix(c(1:6), nrow = 2, ncol = 3, dimnames = list(paste0("i", 1:2), paste0("p", 1:3)), rowtype = "Industries", coltype = "Products") expect_equal(getcolnames_byname(m), c("p1", "p2", "p3")) # This also works for lists expect_equal(getcolnames_byname(list(m,m)), list(c("p1", "p2", "p3"), c("p1", "p2", "p3"))) # Also works for data frames DF <- data.frame(m = I(list())) DF[[1,"m"]] <- m DF[[2,"m"]] <- m expect_equal(getcolnames_byname(DF$m), list(c("p1", "p2", "p3"), c("p1", "p2", "p3"))) }) test_that("setrownames_byname() works as expected", { m <- matrix(c(1:6), nrow = 2, dimnames = list(paste0("i", 1:2), paste0("c", 1:3))) %>% setrowtype("Industries") %>% setcoltype("Commodities") m2 <- setrownames_byname(m, c("a", "b")) expect_equal(m %>% setrownames_byname(c("a", "b")) %>% rownames(), c("a", "b")) expect_equal(m %>% setrownames_byname(rownames(m2)) %>% rownames(), c("a", "b")) expect_equal(m %>% setrownames_byname(c("c", "d")) %>% rownames(), c("c", "d")) expect_null(m %>% setrownames_byname(NULL) %>% rownames()) expect_equal(m %>% setrownames_byname(c(NA, NA)) %>% rownames(), c(NA_character_, NA_character_)) # The function should convert the constant to a matrix and apply the row name expect_equal(2 %>% setrownames_byname("row"), matrix(2, nrow = 1, ncol = 1, dimnames = list(c("row"), NULL))) }) test_that("setrownames_byname() works on Matrix objects", { m <- matsbyname::Matrix(c(1:6), nrow = 2, ncol = 3, dimnames = list(paste0("i", 1:2), paste0("c", 1:3)), rowtype = "Industries", coltype = "Commodities") m2 <- setrownames_byname(m, c("a", "b")) expect_true(is.Matrix(m2)) expect_equal(m2 %>% rownames(), c("a", "b")) expect_equal(m %>% setrownames_byname(rownames(m2)) %>% rownames(), c("a", "b")) expect_equal(m %>% setrownames_byname(c("c", "d")) %>% rownames(), c("c", "d")) expect_null(m %>% setrownames_byname(NULL) %>% rownames()) expect_equal(m %>% setrownames_byname(c(NA, NA)) %>% rownames(), c(NA_character_, NA_character_)) }) test_that("setcolnames_byname() works as expected", { m <- matrix(c(1:6), nrow = 2, dimnames = list(paste0("i", 1:2), paste0("c", 1:3))) %>% setrowtype("Industries") %>% setcoltype("Commodities") expect_equal(m %>% setcolnames_byname(c("a", "b", "c")) %>% colnames(), c("a", "b", "c")) expect_equal(m %>% setcolnames_byname(c("d", "e", "f")) %>% colnames(), c("d", "e", "f")) expect_null(m %>% setcolnames_byname(NULL) %>% colnames()) expect_equal(m %>% setcolnames_byname(c(NA, NA, NA)) %>% colnames(), c(NA_character_, NA_character_, NA_character_)) # The function should convert the constant to a matrix and apply the col name expect_equal(2 %>% setcolnames_byname("col"), matrix(2, nrow = 1, ncol = 1, dimnames = list(NULL, c("col")))) }) test_that("setcolnames_byname() works as expected", { m <- matsbyname::Matrix(c(1:6), nrow = 2, ncol = 3, dimnames = list(paste0("i", 1:2), paste0("c", 1:3)), rowtype = "Industries", coltype = "Commodities") res <- m %>% setcolnames_byname(c("a", "b", "c")) expect_true(is.Matrix(res)) expect_equal(res %>% colnames(), c("a", "b", "c")) expect_equal(m %>% setcolnames_byname(c("d", "e", "f")) %>% colnames(), c("d", "e", "f")) expect_null(m %>% setcolnames_byname(NULL) %>% colnames()) expect_equal(m %>% setcolnames_byname(c(NA, NA, NA)) %>% colnames(), c(NA_character_, NA_character_, NA_character_)) }) test_that("setrownames_byname() works as expected", { m1 <- matrix(c(1:6), nrow = 2, dimnames = list(paste0("i", 1:2), paste0("p", 1:3))) %>% setrowtype("Industries") %>% setcoltype("Commodities") m2 <- setrownames_byname(m1, c("a", "b")) expect_equal(rownames(m2), c("a", "b")) m3 <- setrownames_byname(m1 %>% setrowtype("Industries") %>% setcoltype("Commodities"), c("c", "d")) expect_equal(rownames(m3), c("c", "d")) m4 <- m1 %>% setrownames_byname(NULL) expect_null(rownames(m4)) m5 <- m1 %>% setrownames_byname(c(NA, NA)) expect_equal(rownames(m5), c(NA_character_, NA_character_)) # This also works for lists l1 <- list(m1,m1) l2 <- setrownames_byname(l1, rownames = list(c("a", "b"))) expect_equal(list(rownames(l2[[1]]), rownames(l2[[2]])), list(c("a", "b"), c("a", "b"))) # Try without using a named argument (rownames) to see if they are inferred l2 <- setrownames_byname(l1, list(c("a", "b"))) expect_equal(list(rownames(l2[[1]]), rownames(l2[[2]])), list(c("a", "b"), c("a", "b"))) # Try without a list. This should fail, because a is applied to the first matrix and b is applied to the second matrix. # But each matrix needs 2 rownames. expect_error(setrownames_byname(l1, c("a", "b")), "length of 'dimnames' \\[1\\] not equal to array extent") # This also works with data frames DF1 <- data.frame(mcol = I(list())) DF1[[1,"mcol"]] <- m1 DF1[[2,"mcol"]] <- m1 DF2 <- DF1 %>% dplyr::mutate( mcol2 = setrownames_byname(mcol, list(c("r1", "r2"))) ) expect_equal(rownames(DF2$mcol2[[1]]), c("r1", "r2")) expect_equal(rownames(DF2$mcol2[[2]]), c("r1", "r2")) DF3 <- DF1 %>% dplyr::mutate( mcol2 = setrownames_byname(mcol, list(c("r3", "r4"))) ) expect_equal(list(rownames(DF3$mcol2[[1]]), rownames(DF3$mcol2[[2]])), list(c("r3", "r4"), c("r3", "r4"))) }) test_that("setrownames_byname() works with Matrix objects", { m1 <- matsbyname::Matrix(c(1:6), nrow = 2, ncol = 3, dimnames = list(paste0("i", 1:2), paste0("p", 1:3)), rowtype = "Industries", coltype = "Commodities") m2 <- setrownames_byname(m1, c("a", "b")) expect_true(is.Matrix(m2)) expect_equal(rownames(m2), c("a", "b")) m3 <- setrownames_byname(m1 %>% setrowtype("Industries") %>% setcoltype("Commodities"), c("c", "d")) expect_equal(rownames(m3), c("c", "d")) m4 <- m1 %>% setrownames_byname(NULL) expect_null(rownames(m4)) m5 <- m1 %>% setrownames_byname(c(NA, NA)) expect_equal(rownames(m5), c(NA_character_, NA_character_)) # This also works for lists l1 <- list(m1, m1) l2 <- setrownames_byname(l1, rownames = list(c("a", "b"))) expect_equal(list(rownames(l2[[1]]), rownames(l2[[2]])), list(c("a", "b"), c("a", "b"))) # Try without using a named argument (rownames) to see if they are inferred l2 <- setrownames_byname(l1, list(c("a", "b"))) expect_equal(list(rownames(l2[[1]]), rownames(l2[[2]])), list(c("a", "b"), c("a", "b"))) # Try without a list. This should fail, because a is applied to the first matrix and b is applied to the second matrix. # But each matrix needs 2 rownames. # However, this test actually works on the ubuntu-latest (oldrel-1) test rig in GitHub actions. # Because of the inconsistency across platforme and versions, # commenting this test for now. # expect_error(setrownames_byname(l1, c("a", "b")), "length of Dimnames") # This also works with data frames DF1 <- data.frame(mcol = I(list())) DF1[[1,"mcol"]] <- m1 DF1[[2,"mcol"]] <- m1 DF2 <- DF1 %>% dplyr::mutate( mcol2 = setrownames_byname(mcol, list(c("r1", "r2"))) ) expect_equal(rownames(DF2$mcol2[[1]]), c("r1", "r2")) expect_equal(rownames(DF2$mcol2[[2]]), c("r1", "r2")) DF3 <- DF1 %>% dplyr::mutate( mcol2 = setrownames_byname(mcol, list(c("r3", "r4"))) ) expect_equal(list(rownames(DF3$mcol2[[1]]), rownames(DF3$mcol2[[2]])), list(c("r3", "r4"), c("r3", "r4"))) }) test_that("setrownames_byname() works with different names for each matrix", { m <- matrix(c(1, 2, 3, 4), nrow = 2, ncol = 2, byrow = TRUE, dimnames = list(c("r1", "r2"), c("c1", "c2"))) mlist <- list(m, m, m) new_rownames <- list(c("a", "b"), c("c", "d"), c("e", "f")) renamed <- setrownames_byname(mlist, rownames = new_rownames) expect_equal(getrownames_byname(renamed), new_rownames) # Try this in a data frame DF <- data.frame(mcol = I(mlist), rownames_col = I(new_rownames)) DF_renamed <- DF %>% dplyr::mutate( mcol_2 = setrownames_byname(mcol, rownames = rownames_col) ) expect_equal(getrownames_byname(DF_renamed$mcol_2), new_rownames) }) test_that("setrownames_byname() works with different names for each Matrix", { m <- matsbyname::Matrix(c(1, 2, 3, 4), nrow = 2, ncol = 2, byrow = TRUE, dimnames = list(c("r1", "r2"), c("c1", "c2"))) mlist <- list(m, m, m) new_rownames <- list(c("a", "b"), c("c", "d"), c("e", "f")) renamed <- setrownames_byname(mlist, rownames = new_rownames) expect_equal(getrownames_byname(renamed), new_rownames) # Try this in a data frame DF <- data.frame(mcol = I(mlist), rownames_col = I(new_rownames)) DF_renamed <- DF %>% dplyr::mutate( mcol_2 = setrownames_byname(mcol, rownames = rownames_col) ) expect_equal(getrownames_byname(DF_renamed$mcol_2), new_rownames) }) test_that("setcolnames_byname() works as expected", { m1 <- matrix(c(1:6), nrow = 2, dimnames = list(paste0("i", 1:2), paste0("p", 1:3))) %>% setrowtype("Industries") %>% setcoltype("Commodities") m2 <- setcolnames_byname(m1, c("a", "b", "c")) expect_equal(colnames(m2), c("a", "b", "c")) m3 <- setcolnames_byname(m1 %>% setrowtype("Industries") %>% setcoltype("Commodities"), c("d", "e", "f")) expect_equal(colnames(m3), c("d", "e", "f")) m4 <- m1 %>% setcolnames_byname(NULL) expect_null(colnames(m4)) m5 <- m1 %>% setcolnames_byname(c(NA, NA, NA)) expect_equal(colnames(m5), c(NA_character_, NA_character_, NA_character_)) # This also works for lists l1 <- list(m1,m1) l2 <- setcolnames_byname(l1, c("a", "b", "c")) expect_equal(list(colnames(l2[[1]]), colnames(l2[[2]])), list(c("a", "b", "c"), c("a", "b", "c"))) # This also works with data frames DF1 <- data.frame(mcol = I(list())) DF1[[1,"mcol"]] <- m1 DF1[[2,"mcol"]] <- m1 DF2 <- DF1 %>% dplyr::mutate( mcol2 = setcolnames_byname(mcol, c("c1", "c2", "c3")) ) expect_equal(colnames(DF2$mcol2[[1]]), c("c1", "c2", "c3")) expect_equal(colnames(DF2$mcol2[[2]]), c("c1", "c2", "c3")) DF3 <- DF1 %>% dplyr::mutate( mcol2 = setcolnames_byname(mcol, c("c1", "c2", "c3")) ) expect_equal(list(colnames(DF3$mcol2[[1]]), colnames(DF3$mcol2[[2]])), list(c("c1", "c2", "c3"), c("c1", "c2", "c3"))) }) test_that("setcolnames_byname() works as expected", { m1 <- matsbyname::Matrix(c(1:6), nrow = 2, ncol = 3, dimnames = list(paste0("i", 1:2), paste0("p", 1:3)), rowtype = "Industries", coltype = "Commodities") m2 <- setcolnames_byname(m1, c("a", "b", "c")) expect_true(is.Matrix(m2)) expect_equal(colnames(m2), c("a", "b", "c")) m3 <- setcolnames_byname(m1 %>% setrowtype("Industries") %>% setcoltype("Commodities"), c("d", "e", "f")) expect_equal(colnames(m3), c("d", "e", "f")) m4 <- m1 %>% setcolnames_byname(NULL) expect_null(colnames(m4)) m5 <- m1 %>% setcolnames_byname(c(NA, NA, NA)) expect_equal(colnames(m5), c(NA_character_, NA_character_, NA_character_)) # This also works for lists l1 <- list(m1,m1) l2 <- setcolnames_byname(l1, c("a", "b", "c")) expect_equal(list(colnames(l2[[1]]), colnames(l2[[2]])), list(c("a", "b", "c"), c("a", "b", "c"))) # This also works with data frames DF1 <- data.frame(mcol = I(list())) DF1[[1,"mcol"]] <- m1 DF1[[2,"mcol"]] <- m1 DF2 <- DF1 %>% dplyr::mutate( mcol2 = setcolnames_byname(mcol, c("c1", "c2", "c3")) ) expect_equal(colnames(DF2$mcol2[[1]]), c("c1", "c2", "c3")) expect_equal(colnames(DF2$mcol2[[2]]), c("c1", "c2", "c3")) DF3 <- DF1 %>% dplyr::mutate( mcol2 = setcolnames_byname(mcol, c("c1", "c2", "c3")) ) expect_equal(list(colnames(DF3$mcol2[[1]]), colnames(DF3$mcol2[[2]])), list(c("c1", "c2", "c3"), c("c1", "c2", "c3"))) }) test_that("setcolnames_byname() works with different names for each matrix", { m <- matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2, byrow = TRUE, dimnames = list(c("r1", "r2", "r3"), c("c1", "c2"))) mlist <- list(m, m, m) new_colnames <- list(c("a", "b"), c("c", "d"), c("e", "f")) renamed <- setcolnames_byname(mlist, colnames = new_colnames) expect_equal(getcolnames_byname(renamed), new_colnames) # Try this in a data frame DF <- data.frame(mcol = I(mlist), colnames_col = I(new_colnames)) DF_renamed <- DF %>% dplyr::mutate( mcol_2 = setcolnames_byname(mcol, colnames = colnames_col) ) expect_equal(getcolnames_byname(DF_renamed$mcol_2), new_colnames) }) test_that("setcolnames_byname() works with different names for each matrix", { m <- matsbyname::Matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2, byrow = TRUE, dimnames = list(c("r1", "r2", "r3"), c("c1", "c2"))) mlist <- list(m, m, m) new_colnames <- list(c("a", "b"), c("c", "d"), c("e", "f")) renamed <- setcolnames_byname(mlist, colnames = new_colnames) expect_true(all(sapply(renamed, is.Matrix))) expect_equal(getcolnames_byname(renamed), new_colnames) # Try this in a data frame DF <- data.frame(mcol = I(mlist), colnames_col = I(new_colnames)) DF_renamed <- DF %>% dplyr::mutate( mcol_2 = setcolnames_byname(mcol, colnames = colnames_col) ) expect_equal(getcolnames_byname(DF_renamed$mcol_2), new_colnames) }) test_that("rename_to_pref_suff_byname() works as expected", { m <- matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, byrow = TRUE, dimnames = list(c("a -> b", "r2", "r3"), c("c1", "c2"))) expected <- m rownames(expected) <- c("a", "r2", "r3") actual <- rename_to_pref_suff_byname(m, keep = "pref", margin = 1, notation = RCLabels::arrow_notation) expect_equal(actual, expected) expected <- m rownames(expected) <- c("b", "", "") actual <- rename_to_pref_suff_byname(m, keep = "suff", margin = 1, notation = RCLabels::arrow_notation) expect_equal(actual, expected) # Check that renaming works for a list actual <- rename_to_pref_suff_byname(list(m, m), keep = "suff", margin = 1, notation = RCLabels::arrow_notation) expect_equal(actual, list(expected, expected)) }) test_that("rename_to_pref_suff_byname() works with Matrix objects", { m <- matsbyname::Matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2, byrow = TRUE, dimnames = list(c("a -> b", "r2", "r3"), c("c1", "c2"))) expected <- m rownames(expected) <- c("a", "r2", "r3") actual <- rename_to_pref_suff_byname(m, keep = "pref", margin = 1, notation = RCLabels::arrow_notation) expect_true(is.Matrix(actual)) expect_equal(actual, expected) expected <- m rownames(expected) <- c("b", "", "") actual <- rename_to_pref_suff_byname(m, keep = "suff", margin = 1, notation = RCLabels::arrow_notation) expect_equal(actual, expected) # Check that renaming works for a list actual <- rename_to_pref_suff_byname(list(m, m), keep = "suff", margin = 1, notation = RCLabels::arrow_notation) expect_equal(actual, list(expected, expected)) }) test_that("rename_to_pref_suff_byname() works as expected", { m <- matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, byrow = TRUE, dimnames = list(c("a -> b", "r2", "r3"), c("a -> b", "c -> d"))) expected <- m colnames(expected) <- c("a", "c") actual <- rename_to_pref_suff_byname(m, keep = "pref", margin = 2, notation = RCLabels::arrow_notation) expect_equal(actual, expected) expected <- m colnames(expected) <- c("b", "d") actual <- rename_to_pref_suff_byname(m, keep = "suff", margin = 2, notation = RCLabels::arrow_notation) expect_equal(actual, expected) # Check that renaming works for a list actual <- rename_to_pref_suff_byname(list(m, m), keep = "suff", margin = 2, notation = RCLabels::arrow_notation) expect_equal(actual, list(expected, expected)) # Check that row and column types are preserved m <- m %>% setrowtype("Rows -> Cols") %>% setcoltype("Cols -> Rows") res <- rename_to_pref_suff_byname(m, keep = "suff", notation = RCLabels::arrow_notation) expect_equal(rowtype(res), "Cols") expect_equal(coltype(res), "Rows") }) test_that("rename_to_pref_suff_byname() works with Matrix objects", { m <- matsbyname::Matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2, byrow = TRUE, dimnames = list(c("a -> b", "r2", "r3"), c("a -> b", "c -> d"))) expected <- m colnames(expected) <- c("a", "c") actual <- rename_to_pref_suff_byname(m, keep = "pref", margin = 2, notation = RCLabels::arrow_notation) expect_true(is.Matrix(actual)) expect_equal(actual, expected) expected <- m colnames(expected) <- c("b", "d") actual <- rename_to_pref_suff_byname(m, keep = "suff", margin = 2, notation = RCLabels::arrow_notation) expect_equal(actual, expected) # Check that renaming works for a list actual <- rename_to_pref_suff_byname(list(m, m), keep = "suff", margin = 2, notation = RCLabels::arrow_notation) expect_equal(actual, list(expected, expected)) # Check that row and column types are preserved m <- m %>% setrowtype("Rows -> Cols") %>% setcoltype("Cols -> Rows") res <- rename_to_pref_suff_byname(m, keep = "suff", notation = RCLabels::arrow_notation) expect_equal(rowtype(res), "Cols") expect_equal(coltype(res), "Rows") }) test_that("rename_to_pref_suff_byname() works as expected 2", { m <- matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, byrow = TRUE, dimnames = list(c("a -> b", "r2", "r3"), c("a -> b", "c -> d"))) expected <- m rownames(expected) <- c("a", "r2", "r3") colnames(expected) <- c("a", "c") # Default is margin = c(1, 2) actual <- rename_to_pref_suff_byname(m, keep = "pref", notation = RCLabels::arrow_notation) expect_equal(actual, expected) expected <- m rownames(expected) <- c("b", "", "") colnames(expected) <- c("b", "d") actual <- rename_to_pref_suff_byname(m, keep = "suff", notation = RCLabels::arrow_notation) expect_equal(actual, expected) # Check that renaming works for a list actual <- rename_to_pref_suff_byname(list(m, m), margin = list(c(1, 2)), keep = "suff", notation = RCLabels::arrow_notation) expect_equal(actual, list(expected, expected)) # Check that row and column types are preserved m <- m %>% setrowtype("Rows") %>% setcoltype("Cols") res <- rename_to_pref_suff_byname(m, keep = "pref", notation = RCLabels::arrow_notation) expect_equal(rowtype(res), "Rows") expect_equal(coltype(res), "Cols") }) test_that("rename_to_pref_suff_byname() works with Matrix objects 2", { m <- matsbyname::Matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2, byrow = TRUE, dimnames = list(c("a -> b", "r2", "r3"), c("a -> b", "c -> d"))) expected <- m rownames(expected) <- c("a", "r2", "r3") colnames(expected) <- c("a", "c") # Default is margin = c(1, 2) actual <- rename_to_pref_suff_byname(m, keep = "pref", notation = RCLabels::arrow_notation) expect_true(is.Matrix(actual)) expect_equal(actual, expected) expected <- m rownames(expected) <- c("b", "", "") colnames(expected) <- c("b", "d") actual <- rename_to_pref_suff_byname(m, keep = "suff", notation = RCLabels::arrow_notation) expect_equal(actual, expected) # Check that renaming works for a list actual <- rename_to_pref_suff_byname(list(m, m), margin = list(c(1, 2)), keep = "suff", notation = RCLabels::arrow_notation) expect_equal(actual, list(expected, expected)) # Check that row and column types are preserved m <- m %>% setrowtype("Rows") %>% setcoltype("Cols") res <- rename_to_pref_suff_byname(m, keep = "pref", notation = RCLabels::arrow_notation) expect_equal(rowtype(res), "Rows") expect_equal(coltype(res), "Cols") }) test_that("rename_to_pref_suff_byname() also changes rowtype and coltype", { m <- matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, byrow = TRUE, dimnames = list(c("a -> b", "c -> d", "e -> f"), c("g -> h", "i -> j"))) %>% setrowtype("Industry -> Product") %>% setcoltype("Product -> Industry") res <- rename_to_pref_suff_byname(m, keep = "pref", notation = RCLabels::arrow_notation) expect_equal(rownames(res), c("a", "c", "e")) expect_equal(colnames(res), c("g", "i")) expect_equal(rowtype(res), "Industry") expect_equal(coltype(res), "Product") res2 <- rename_to_pref_suff_byname(m, keep = "suff", notation = RCLabels::arrow_notation) expect_equal(rownames(res2), c("b", "d", "f")) expect_equal(colnames(res2), c("h", "j")) expect_equal(rowtype(res2), "Product") expect_equal(coltype(res2), "Industry") }) test_that("rename_to_pref_suff_byname() also changes rowtype and coltype on Matrix objects", { m <- matsbyname::Matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2, byrow = TRUE, dimnames = list(c("a -> b", "c -> d", "e -> f"), c("g -> h", "i -> j")), rowtype = "Industry -> Product", coltype = "Product -> Industry") res <- rename_to_pref_suff_byname(m, keep = "pref", notation = RCLabels::arrow_notation) expect_true(is.Matrix(res)) expect_equal(rownames(res), c("a", "c", "e")) expect_equal(colnames(res), c("g", "i")) expect_equal(rowtype(res), "Industry") expect_equal(coltype(res), "Product") res2 <- rename_to_pref_suff_byname(m, keep = "suff", notation = RCLabels::arrow_notation) expect_equal(rownames(res2), c("b", "d", "f")) expect_equal(colnames(res2), c("h", "j")) expect_equal(rowtype(res2), "Product") expect_equal(coltype(res2), "Industry") }) test_that("rename_to_pref_suff_byname() to change row and column type correctly returns enpty string when a suffix is not present", { m <- matsbyname::Matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2, byrow = TRUE, dimnames = list(c("a -> b", "c -> d", "e -> f"), c("g -> h", "i -> j")), rowtype = "Rows", coltype = "Product -> Industry") res <- rename_to_pref_suff_byname(m, keep = "pref", notation = RCLabels::arrow_notation) expect_true(is.Matrix(res)) expect_equal(rowtype(res), "Rows") expect_equal(coltype(res), "Product") res_2 <- rename_to_pref_suff_byname(m, keep = "suff", notation = RCLabels::arrow_notation) expect_equal(rowtype(res_2), "") expect_equal(coltype(res_2), "Industry") }) test_that("rename_to_pref_suff_byname() is OK with setting identical row/col names", { m <- matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, byrow = TRUE, dimnames = list(c("a -> b", "a -> c", "r3"), c("a -> b", "a -> z"))) expected <- m rownames(expected) <- c("a", "a", "r3") colnames(expected) <- c("a", "a") # The next call will create duplicate row names and column names in m. actual <- rename_to_pref_suff_byname(m, keep = "pref", notation = RCLabels::arrow_notation) # Interestingly the command View(actual) or View(expected) # shows row names that aren't true. # The 2nd row of actual and expected is shown as "a.1", # but the underlying objects have simply "a". # (The column names are shown correctly.) # This test ensures that R isn't messing with the actual row and column names on the objects. expect_equal(actual, expected) }) test_that("rename_to_pref_suff_byname() is OK with setting identical row/col names on Matrix objects", { m <- matsbyname::Matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2, byrow = TRUE, dimnames = list(c("a -> b", "a -> c", "r3"), c("a -> b", "a -> z"))) expected <- m rownames(expected) <- c("a", "a", "r3") colnames(expected) <- c("a", "a") # The next call will create duplicate row names and column names in m. actual <- rename_to_pref_suff_byname(m, keep = "pref", notation = RCLabels::arrow_notation) expect_true(is.Matrix(actual)) # Interestingly the command View(actual) or View(expected) # shows row names that aren't true. # The 2nd row of actual and expected is shown as "a.1", # but the underlying objects have simply "a". # (The column names are shown correctly.) # This test ensures that R isn't messing with the actual row and column names on the objects. expect_equal(actual, expected) }) test_that("rename_to_pref_suff_byname() works with full prefix identifiers", { m <- matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, byrow = TRUE, dimnames = list(c("a [b]", "c [d]", "e [f]"), c("g [h]", "i [j]"))) expected <- m dimnames(expected) <- list(c("a", "c", "e"), c("g", "i")) # The next call will create duplicate row names and column names in m. actual <- rename_to_pref_suff_byname(m, keep = "pref", notation = RCLabels::bracket_notation) expect_equal(actual, expected) expected2 <- m dimnames(expected2) <- list(c("a", "c", "e"), c("g [h]", "i [j]")) actual2 <- rename_to_pref_suff_byname(m, keep = "pref", margin = 1, notation = RCLabels::bracket_notation) expect_equal(actual2, expected2) expected3 <- m dimnames(expected3) <- list(c("a [b]", "c [d]", "e [f]"), c("g", "i")) actual3 <- rename_to_pref_suff_byname(m, keep = "pref", margin = 2, notation = RCLabels::bracket_notation) expect_equal(actual3, expected3) expected4 <- m dimnames(expected4) <- list(c("b", "d", "f"), c("h", "j")) actual4 <- rename_to_pref_suff_byname(m, keep = "suff", notation = RCLabels::bracket_notation) expect_equal(actual4, expected4) expected5 <- m dimnames(expected5) <- list(c("b", "d", "f"), c("g [h]", "i [j]")) actual5 <- rename_to_pref_suff_byname(m, keep = "suff", margin = 1, notation = RCLabels::bracket_notation) expect_equal(expected5, actual5) expected6 <- m dimnames(expected6) <- list(c("a [b]", "c [d]", "e [f]"), c("h", "j")) actual6 <- rename_to_pref_suff_byname(m, keep = "suff", margin = 2, notation = RCLabels::bracket_notation) expect_equal(expected6, actual6) # Try with a list actual_list <- rename_to_pref_suff_byname(list(m, m), keep = "pref", margin = 1, notation = RCLabels::bracket_notation) expect_equal(actual_list[[1]], expected2) expect_equal(actual_list[[2]], expected2) # Try in a data frame DF <- tibble::tibble(m = list(m, m, m, m, m, m), keep = c("pref", "pref", "pref", "suff", "suff", "suff"), margin = list(c(1, 2), 1, 2, c(1, 2), 1, 2), notation = list(RCLabels::bracket_notation), expected = list(expected, expected2, expected3, expected4, expected5, expected6)) res <- DF %>% dplyr::mutate( actual = rename_to_pref_suff_byname(m, keep = keep, margin = margin, notation = notation) ) expect_equal(res$actual, res$expected) }) test_that("rename_to_pref_suff_byname() works with full prefix identifiers on Matrix objects", { m <- matsbyname::Matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2, byrow = TRUE, dimnames = list(c("a [b]", "c [d]", "e [f]"), c("g [h]", "i [j]"))) expected <- m dimnames(expected) <- list(c("a", "c", "e"), c("g", "i")) # The next call will create duplicate row names and column names in m. actual <- rename_to_pref_suff_byname(m, keep = "pref", notation = RCLabels::bracket_notation) expect_equal(actual, expected) expected2 <- m dimnames(expected2) <- list(c("a", "c", "e"), c("g [h]", "i [j]")) actual2 <- rename_to_pref_suff_byname(m, keep = "pref", margin = 1, notation = RCLabels::bracket_notation) expect_equal(actual2, expected2) expected3 <- m dimnames(expected3) <- list(c("a [b]", "c [d]", "e [f]"), c("g", "i")) actual3 <- rename_to_pref_suff_byname(m, keep = "pref", margin = 2, notation = RCLabels::bracket_notation) expect_equal(actual3, expected3) expected4 <- m dimnames(expected4) <- list(c("b", "d", "f"), c("h", "j")) actual4 <- rename_to_pref_suff_byname(m, keep = "suff", notation = RCLabels::bracket_notation) expect_equal(actual4, expected4) expected5 <- m dimnames(expected5) <- list(c("b", "d", "f"), c("g [h]", "i [j]")) actual5 <- rename_to_pref_suff_byname(m, keep = "suff", margin = 1, notation = RCLabels::bracket_notation) expect_equal(expected5, actual5) expected6 <- m dimnames(expected6) <- list(c("a [b]", "c [d]", "e [f]"), c("h", "j")) actual6 <- rename_to_pref_suff_byname(m, keep = "suff", margin = 2, notation = RCLabels::bracket_notation) expect_equal(expected6, actual6) # Try with a list actual_list <- rename_to_pref_suff_byname(list(m, m), keep = "pref", margin = 1, notation = RCLabels::bracket_notation) expect_equal(actual_list[[1]], expected2) expect_equal(actual_list[[2]], expected2) # Try in a data frame DF <- tibble::tibble(m = list(m, m, m, m, m, m), keep = c("pref", "pref", "pref", "suff", "suff", "suff"), margin = list(c(1, 2), 1, 2, c(1, 2), 1, 2), notation = list(RCLabels::bracket_notation), expected = list(expected, expected2, expected3, expected4, expected5, expected6)) res <- DF %>% dplyr::mutate( actual = rename_to_pref_suff_byname(m, keep = keep, margin = margin, notation = notation) ) expect_equal(res$actual, res$expected) }) test_that("setrowtype() and rowtype() work as expected", { productnames <- c("p1", "p2") industrynames <- c("i1", "i2") U <- matrix(1:4, ncol = 2, dimnames = list(productnames, industrynames)) %>% setrowtype("Products") expect_null(U %>% setrowtype(NULL) %>% rowtype()) expect_equal(rowtype(U), "Products") # This also works for lists Ul <- setrowtype(list(U,U), rowtype = "Products") expect_equal(rowtype(Ul), list("Products", "Products")) Ul2 <- setrowtype(list(U,U), rowtype = "Junk") expect_equal(rowtype(Ul2), list("Junk", "Junk")) # Also works for data frames DF <- data.frame(U = I(list())) DF[[1,"U"]] <- U DF[[2,"U"]] <- U DF2 <- setrowtype(DF$U, "Products") expect_equal(rowtype(DF2), list("Products", "Products")) DF3 <- DF %>% dplyr::mutate(newcol = setrowtype(U, "Products")) expect_equal(DF3$newcol %>% rowtype, list("Products", "Products")) }) test_that("setrowtype() and rowtype() work with Matrix objects", { productnames <- c("p1", "p2") industrynames <- c("i1", "i2") U <- matsbyname::Matrix(1:4, nrow = 2, ncol = 2, dimnames = list(productnames, industrynames), rowtype = "Products") expect_null(U %>% setrowtype(NULL) %>% rowtype()) expect_equal(rowtype(U), "Products") # This also works for lists Ul <- setrowtype(list(U,U), rowtype = "Products") expect_true(all(sapply(Ul, is.Matrix))) expect_equal(rowtype(Ul), list("Products", "Products")) Ul2 <- setrowtype(list(U,U), rowtype = "Junk") expect_equal(rowtype(Ul2), list("Junk", "Junk")) # Also works for data frames DF <- data.frame(U = I(list())) DF[[1,"U"]] <- U DF[[2,"U"]] <- U DF2 <- setrowtype(DF$U, "Products") expect_equal(rowtype(DF2), list("Products", "Products")) DF3 <- DF %>% dplyr::mutate(newcol = setrowtype(U, "Products")) expect_equal(DF3$newcol %>% rowtype, list("Products", "Products")) }) test_that("setcoltype() and coltype() work as expected", { productnames <- c("p1", "p2") industrynames <- c("i1", "i2") U <- matrix(1:4, ncol = 2, dimnames = list(productnames, industrynames)) %>% setcoltype("Industries") expect_null(U %>% setcoltype(NULL) %>% coltype()) expect_equal(coltype(U), "Industries") # This also works for lists Ul <- setcoltype(list(U,U), coltype = "Industries") expect_equal(coltype(Ul), list("Industries", "Industries")) Ul2 <- setcoltype(list(U,U), coltype = "Junk") expect_equal(coltype(Ul2), list("Junk", "Junk")) # Check that it works when the lists are not same structure as a. Ul3 <- setcoltype(list(U,U), coltype = list("Junk", "Junk")) expect_equal(coltype(Ul3), list("Junk", "Junk")) Ul4 <- setcoltype(list(U,U,U), coltype = list("Junk", "Junk", "Bogus")) expect_equal(coltype(Ul4), list("Junk", "Junk", "Bogus")) Ul5 <- setcoltype(list(U,U,U), coltype = c("Bogus")) expect_equal(coltype(Ul5), list("Bogus", "Bogus", "Bogus")) Ul6 <- setcoltype(list(U,U,U), coltype = list("Bogus")) expect_equal(coltype(Ul5), list("Bogus", "Bogus", "Bogus")) # This one should fail, because length of coltype is neither 1 nor length(a), namely 3. expect_error(setcoltype(list(U,U,U), coltype = list("Bogus", "Bogus")), "In prepare_.FUNdots\\(\\), when both 'a' and '.FUNdots' are lists, each top-level argument in .FUNdots must have length = 1 or length = length\\(a\\) \\(= 3\\). Found length = 2 for argument 'coltype', which is a list.") # Also works for data frames DF <- data.frame(U = I(list())) DF[[1,"U"]] <- U DF[[2,"U"]] <- U DF2 <- setcoltype(DF$U, "Industries") expect_equal(coltype(DF2), list("Industries", "Industries")) DF3 <- DF %>% dplyr::mutate(newcol = setcoltype(U, "Industries")) expect_equal(DF3$newcol %>% coltype, list("Industries", "Industries")) }) test_that("setcoltype() and coltype() work with Matrix objects", { productnames <- c("p1", "p2") industrynames <- c("i1", "i2") U <- matsbyname::Matrix(1:4, nrow = 2, ncol = 2, dimnames = list(productnames, industrynames), coltype = "Industries") expect_null(U %>% setcoltype(NULL) %>% coltype()) expect_equal(coltype(U), "Industries") # This also works for lists Ul <- setcoltype(list(U,U), coltype = "Industries") expect_equal(coltype(Ul), list("Industries", "Industries")) Ul2 <- setcoltype(list(U,U), coltype = "Junk") expect_equal(coltype(Ul2), list("Junk", "Junk")) # Check that it works when the lists are not same structure as a. Ul3 <- setcoltype(list(U,U), coltype = list("Junk", "Junk")) expect_equal(coltype(Ul3), list("Junk", "Junk")) Ul4 <- setcoltype(list(U,U,U), coltype = list("Junk", "Junk", "Bogus")) expect_equal(coltype(Ul4), list("Junk", "Junk", "Bogus")) Ul5 <- setcoltype(list(U,U,U), coltype = c("Bogus")) expect_equal(coltype(Ul5), list("Bogus", "Bogus", "Bogus")) Ul6 <- setcoltype(list(U,U,U), coltype = list("Bogus")) expect_equal(coltype(Ul5), list("Bogus", "Bogus", "Bogus")) # This one should fail, because length of coltype is neither 1 nor length(a), namely 3. expect_error(setcoltype(list(U,U,U), coltype = list("Bogus", "Bogus")), "In prepare_.FUNdots\\(\\), when both 'a' and '.FUNdots' are lists, each top-level argument in .FUNdots must have length = 1 or length = length\\(a\\) \\(= 3\\). Found length = 2 for argument 'coltype', which is a list.") # Also works for data frames DF <- data.frame(U = I(list())) DF[[1,"U"]] <- U DF[[2,"U"]] <- U DF2 <- setcoltype(DF$U, "Industries") expect_equal(coltype(DF2), list("Industries", "Industries")) DF3 <- DF %>% dplyr::mutate(newcol = setcoltype(U, "Industries")) expect_equal(DF3$newcol %>% coltype, list("Industries", "Industries")) }) test_that("nrow_byname() works as expected.", { # First, test with a single 2x2 matrix: productnames <- c("p1", "p2") industrynames <- c("i1", "i2") U <- matrix(1:4, ncol = 2, dimnames = list(productnames, industrynames)) %>% setrowtype("Products") %>% setcoltype("Industries") nrow_byname(U) %>% expect_equal(2) # Second, test with a 3x2 matrix: productnames <- c("p1", "p2", "p3") industrynames <- c("i1", "i2") U2 <- matrix(1:3, ncol = 2, nrow = length(productnames), dimnames = list(productnames, industrynames)) %>% setrowtype("Products") %>% setcoltype("Industries") nrow_byname(U2) %>% expect_equal(3) # Third, test with a 4x3 matrix: productnames <- c("p1", "p2", "p3", "p4") industrynames <- c("i1", "i2", "i3") U3 <- matrix(1:4, ncol = length(industrynames), nrow = length(productnames), dimnames = list(productnames, industrynames)) %>% setrowtype("Products") %>% setcoltype("Industries") nrow_byname(U3) %>% expect_equal(4) # Try with a list nrow_with_list <- nrow_byname(list(U, U2, U3)) expect_equal(nrow_with_list[[1]], 2) expect_equal(nrow_with_list[[2]], 3) expect_equal(nrow_with_list[[3]], 4) # Fourth, test with a data frame with U, U2, and U3 in a column: dfUs <- data.frame( year = numeric(), matrix_byname = I(list()) ) dfUs[[1, "matrix_byname"]] <- U dfUs[[2, "matrix_byname"]] <- U2 dfUs[[3, "matrix_byname"]] <- U3 dfUs[[1, "year"]] <- 2000 dfUs[[2, "year"]] <- 2001 dfUs[[3, "year"]] <- 2002 number_rows <- matsbyname::nrow_byname(dfUs$matrix_byname) number_rows[[1]] %>% testthat::expect_equal(2) number_rows[[2]] %>% testthat::expect_equal(3) number_rows[[3]] %>% testthat::expect_equal(4) # Now trying with mutate: a <- dfUs %>% dplyr::mutate( number_of_rows = matsbyname::nrow_byname(matrix_byname) ) testthat::expect_equal(a$number_of_rows[[1]], 2) testthat::expect_equal(a$number_of_rows[[2]], 3) testthat::expect_equal(a$number_of_rows[[3]], 4) }) test_that("nrow_byname() works with Matrix objects", { # First, test with a single 2x2 matrix: productnames <- c("p1", "p2") industrynames <- c("i1", "i2") U <- matsbyname::Matrix(1:4, nrow = 2, ncol = 2, dimnames = list(productnames, industrynames), rowtype = "Products", coltype = "Industries") nrow_byname(U) %>% expect_equal(2) # Second, test with a 3x2 matrix: productnames <- c("p1", "p2", "p3") industrynames <- c("i1", "i2") U2 <- matsbyname::Matrix(1:3, nrow = length(productnames), ncol = 2, dimnames = list(productnames, industrynames), rowtype = "Products", coltype = "Industries") nrow_byname(U2) %>% expect_equal(3) # Third, test with a 4x3 matrix: productnames <- c("p1", "p2", "p3", "p4") industrynames <- c("i1", "i2", "i3") U3 <- matsbyname::Matrix(1:4, nrow = length(productnames), ncol = length(industrynames), dimnames = list(productnames, industrynames), rowtype = "Products", coltype = "Industries") nrow_byname(U3) %>% expect_equal(4) # Try with a list nrow_with_list <- nrow_byname(list(U, U2, U3)) expect_equal(nrow_with_list[[1]], 2) expect_equal(nrow_with_list[[2]], 3) expect_equal(nrow_with_list[[3]], 4) # Fourth, test with a data frame with U, U2, and U3 in a column: dfUs <- data.frame( year = numeric(), matrix_byname = I(list()) ) dfUs[[1, "matrix_byname"]] <- U dfUs[[2, "matrix_byname"]] <- U2 dfUs[[3, "matrix_byname"]] <- U3 dfUs[[1, "year"]] <- 2000 dfUs[[2, "year"]] <- 2001 dfUs[[3, "year"]] <- 2002 number_rows <- matsbyname::nrow_byname(dfUs$matrix_byname) number_rows[[1]] %>% testthat::expect_equal(2) number_rows[[2]] %>% testthat::expect_equal(3) number_rows[[3]] %>% testthat::expect_equal(4) # Now trying with mutate: a <- dfUs %>% dplyr::mutate( number_of_rows = matsbyname::nrow_byname(matrix_byname) ) testthat::expect_equal(a$number_of_rows[[1]], 2) testthat::expect_equal(a$number_of_rows[[2]], 3) testthat::expect_equal(a$number_of_rows[[3]], 4) }) test_that("ncol_byname() works as expected", { # First, test with a single 2x2 matrix: productnames <- c("p1", "p2") industrynames <- c("i1", "i2") U <- matrix(1:4, ncol = 2, dimnames = list(productnames, industrynames)) %>% setrowtype("Products") %>% setcoltype("Industries") ncol_byname(U) %>% expect_equal(2) # Second, test with a 3x2 matrix: productnames <- c("p1", "p2") industrynames <- c("i1", "i2", "i3") U2 <- matrix(1:3, ncol = length(industrynames), nrow = length(productnames), dimnames = list(productnames, industrynames)) %>% setrowtype("Products") %>% setcoltype("Industries") ncol_byname(U2) %>% expect_equal(3) # Third, test with a 4x3 matrix: productnames <- c("p1", "p2", "p3") industrynames <- c("i1", "i2", "i3", "i4") U3 <- matrix(1:4, ncol = length(industrynames), nrow = length(productnames), dimnames = list(productnames, industrynames)) %>% setrowtype("Products") %>% setcoltype("Industries") ncol_byname(U3) %>% expect_equal(4) # Try with a list ncol_with_list <- ncol_byname(list(U, U2, U3)) expect_equal(ncol_with_list[[1]], 2) expect_equal(ncol_with_list[[2]], 3) expect_equal(ncol_with_list[[3]], 4) # Fourth, test with a data frame with both U, U2, and U3: dfUs <- data.frame( year = numeric(), matrix_byname = I(list()) ) dfUs[[1, "matrix_byname"]] <- U dfUs[[2, "matrix_byname"]] <- U2 dfUs[[3, "matrix_byname"]] <- U3 dfUs[[1, "year"]] <- 2000 dfUs[[2, "year"]] <- 2001 dfUs[[3, "year"]] <- 2002 number_cols <- ncol_byname(dfUs$matrix_byname) number_cols[[1]] %>% expect_equal(2) number_cols[[2]] %>% expect_equal(3) number_cols[[3]] %>% expect_equal(4) # Now trying with mutate: a <- dfUs %>% dplyr::mutate( number_of_cols = ncol_byname(matrix_byname) ) expect_equal(a$number_of_cols[[1]], 2) expect_equal(a$number_of_cols[[2]], 3) expect_equal(a$number_of_cols[[3]], 4) }) test_that("ncol_byname() works with Matrix objects", { # First, test with a single 2x2 matrix: productnames <- c("p1", "p2") industrynames <- c("i1", "i2") U <- matsbyname::Matrix(1:4, nrow = 2, ncol = 2, dimnames = list(productnames, industrynames), rowtype = "Products", coltype = "Industries") ncol_byname(U) %>% expect_equal(2) # Second, test with a 3x2 matrix: productnames <- c("p1", "p2") industrynames <- c("i1", "i2", "i3") U2 <- matsbyname::Matrix(1:3, nrow = length(productnames), ncol = length(industrynames), dimnames = list(productnames, industrynames), rowtype = "Products", coltype = "Industries") ncol_byname(U2) %>% expect_equal(3) # Third, test with a 4x3 matrix: productnames <- c("p1", "p2", "p3") industrynames <- c("i1", "i2", "i3", "i4") U3 <- matsbyname::Matrix(1:4, nrow = length(productnames), ncol = length(industrynames), dimnames = list(productnames, industrynames)) %>% setrowtype("Products") %>% setcoltype("Industries") ncol_byname(U3) %>% expect_equal(4) # Try with a list ncol_with_list <- ncol_byname(list(U, U2, U3)) expect_equal(ncol_with_list[[1]], 2) expect_equal(ncol_with_list[[2]], 3) expect_equal(ncol_with_list[[3]], 4) # Fourth, test with a data frame with both U, U2, and U3: dfUs <- data.frame( year = numeric(), matrix_byname = I(list()) ) dfUs[[1, "matrix_byname"]] <- U dfUs[[2, "matrix_byname"]] <- U2 dfUs[[3, "matrix_byname"]] <- U3 dfUs[[1, "year"]] <- 2000 dfUs[[2, "year"]] <- 2001 dfUs[[3, "year"]] <- 2002 number_cols <- ncol_byname(dfUs$matrix_byname) number_cols[[1]] %>% expect_equal(2) number_cols[[2]] %>% expect_equal(3) number_cols[[3]] %>% expect_equal(4) # Now trying with mutate: a <- dfUs %>% dplyr::mutate( number_of_cols = ncol_byname(matrix_byname) ) expect_equal(a$number_of_cols[[1]], 2) expect_equal(a$number_of_cols[[2]], 3) expect_equal(a$number_of_cols[[3]], 4) }) test_that("ncol_byname() works with a single Matrix in a data frame", { # First, test with a single 2x2 matrix: productnames <- c("p1", "p2") industrynames <- c("i1", "i2") U <- matsbyname::Matrix(1:4, nrow = 2, ncol = 2, dimnames = list(productnames, industrynames), rowtype = "Products", coltype = "Industries") dfUs <- data.frame( matrix_byname = I(list()) ) colname <- "matrix_byname" .phi_shape_OK <- ".phi_shape_OK" dfUs[[1, colname]] <- U res <- dfUs |> dplyr::mutate( # Check that all phi vectors have 1 column. "{.phi_shape_OK}" := (matsbyname::ncol_byname(.data[[colname]]) == 2) ) expect_true(res$.phi_shape_OK[[1]]) }) test_that("create_matrix_byname() works as expected", { single_mat_with_types <- create_matrix_byname(1 %>% setrowtype("testing_rowtype") %>% setcoltype("testing_coltype"), nrow = 1, ncol = 1, dimnames = list("r1", "c1")) # "all" retains row and column types expect_equal(single_mat_with_types, matrix(1, dimnames = list("r1", "c1")) %>% setrowtype("testing_rowtype") %>% setcoltype("testing_coltype")) # Test with row and column types single_mat_with_types <- create_matrix_byname(1 %>% setrowtype("rt") %>% setcoltype("ct"), nrow = 1, ncol = 1, dimnames = list("r1", "c1")) expect_equal(rowtype(single_mat_with_types), "rt") expect_equal(coltype(single_mat_with_types), "ct") single_mat_2 <- create_matrix_byname(c(1, 2), nrow = 2, ncol = 1, dimnames = list(c("r1", "r2"), "c1")) expect_equal(single_mat_2, matrix(c(1,2), nrow = 2, ncol = 1, dimnames = list(c("r1", "r2"), "c1"))) # Try with a list list_of_mats <- create_matrix_byname(list(1, 2), nrow = list(1, 1), ncol = list(1,1), dimnames = list(list("r1", "c1"), list("R1", "C1"))) expect_equal(list_of_mats[[1]], matrix(1, dimnames = list("r1", "c1"))) expect_equal(list_of_mats[[2]], matrix(2, dimnames = list("R1", "C1"))) list_of_mats <- create_matrix_byname(list(1, 2) %>% setrowtype("testing_rowtypes") %>% setcoltype("testing_coltypes"), nrow = list(1, 1), ncol = list(1,1), dimnames = list(list("r1", "c1"), list("R1", "C1"))) expect_equal(list_of_mats[[1]], matrix(1, dimnames = list("r1", "c1")) %>% setrowtype("testing_rowtypes") %>% setcoltype("testing_coltypes")) expect_equal(list_of_mats[[2]], matrix(2, dimnames = list("R1", "C1")) %>% setrowtype("testing_rowtypes") %>% setcoltype("testing_coltypes")) # Test with a list of different dimensions list_of_mats_2 <- create_matrix_byname(list(1, c(2, 3, 4, 5)), nrow = list(1, 2), ncol = list(1,2), dimnames = list(list("r1", "c1"), list(c("R1", "R2"), c("C1", "C2")))) expect_equal(list_of_mats_2[[1]], matrix(1, dimnames = list("r1", "c1"))) expect_equal(list_of_mats_2[[2]], matrix(c(2, 3, 4, 5), nrow = 2, ncol = 2, dimnames = list(c("R1", "R2"), c("C1", "C2")), byrow = FALSE)) # Try in a data frame df1 <- data.frame( dat = I(list()), nrows = I(list()), ncols = I(list()), dimnms = I(list()) ) df1[[1, "dat"]] <- 1 df1[[2, "dat"]] <- 2 df1[[3, "dat"]] <- c(1,2,3,4, 5, 6) df1[[1, "nrows"]] <- 1 df1[[2, "nrows"]] <- 1 df1[[3, "nrows"]] <- 2 df1[[1, "ncols"]] <- 1 df1[[2, "ncols"]] <- 1 df1[[3, "ncols"]] <- 3 df1[[1, "dimnms"]] <- list("r1", "c1") df1[[2, "dimnms"]] <- list("R1", "C1") df1[[3, "dimnms"]] <- list(c("r1", "r2"), c("c1", "c2", "c3")) res1 <- df1 %>% dplyr::mutate( mat_col = create_matrix_byname(dat, nrow = nrows, ncol = ncols, byrow = TRUE, dimnames = dimnms)) expect_equal(res1$mat_col[[1]], matrix(1, dimnames = list("r1", "c1"))) expect_equal(res1$mat_col[[2]], matrix(2, dimnames = list("R1", "C1"))) expect_equal(res1$mat_col[[3]], matrix(c(1, 2, 3, 4, 5, 6), byrow = TRUE, nrow = 2, ncol = 3, dimnames = list(c("r1", "r2"), c("c1", "c2", "c3")))) # Next, tests using a data frame with U matrices productnames <- c("p1", "p2") industrynames <- c("i1", "i2") U <- matrix(1:4, ncol = 2, dimnames = list(productnames, industrynames)) %>% setrowtype("Products") %>% setcoltype("Industries") productnames <- c("p1", "p2") industrynames <- c("i1", "i2", "i3") U2 <- matrix(1:3, ncol = length(industrynames), nrow = length(productnames), dimnames = list(productnames, industrynames)) %>% setrowtype("Products") %>% setcoltype("Industries") productnames <- c("p1", "p2", "p3") industrynames <- c("i1", "i2", "i3", "i4") U3 <- matrix(1:4, ncol = length(industrynames), nrow = length(productnames), dimnames = list(productnames, industrynames)) %>% setrowtype("Products") %>% setcoltype("Industries") dfUs <- data.frame( year = numeric(), matrix_byname = I(list()), dat = I(list()), number_of_rows = I(list()), number_of_cols = I(list()) ) dfUs[[1, "matrix_byname"]] <- U dfUs[[2, "matrix_byname"]] <- U2 dfUs[[3, "matrix_byname"]] <- U3 dfUs[[1, "year"]] <- 2000 dfUs[[2, "year"]] <- 2001 dfUs[[3, "year"]] <- 2002 dfUs_added_matrix <- dfUs %>% dplyr::mutate( dat = I(list(1)), number_of_rows = I(matsbyname::nrow_byname(matrix_byname)), number_of_cols = I(matsbyname::ncol_byname(matrix_byname)), row_names = matsbyname::getrownames_byname(matrix_byname), col_names = matsbyname::getcolnames_byname(matrix_byname), dimension_names = purrr::map2(.x = row_names, .y = col_names, .f = list), row_types_col = I(list("testing_rowtypes")), col_types_col = I(list("testing_coltypes")) ) res2 <- dfUs_added_matrix %>% dplyr::mutate( new_matrix = matsbyname::create_matrix_byname( dat, nrow = number_of_rows, ncol = number_of_cols, dimnames = dimension_names ) ) expect_equal( res2$new_matrix[[1]], matrix(1, ncol = 2, nrow = 2, dimnames = list(c("p1", "p2"), c("i1", "i2"))) ) expect_equal( res2$new_matrix[[2]], matrix(1, ncol = 3, nrow = 2, dimnames = list(c("p1", "p2"), c("i1", "i2", "i3"))) ) expect_equal( res2$new_matrix[[3]], matrix(1, ncol = 4, nrow = 3, dimnames = list(c("p1", "p2", "p3"), c("i1", "i2", "i3", "i4"))) ) res3 <- dfUs_added_matrix %>% dplyr::mutate( new_matrix = matsbyname::create_matrix_byname( dat, nrow = number_of_rows, ncol = number_of_cols, dimnames = dimension_names ) ) expect_equal( res3$new_matrix[[1]], matrix(1, ncol = 2, nrow = 2, dimnames = list(c("p1", "p2"), c("i1", "i2"))) ) expect_equal( res3$new_matrix[[2]], matrix(1, ncol = 3, nrow = 2, dimnames = list(c("p1", "p2"), c("i1", "i2", "i3"))) ) expect_equal( res3$new_matrix[[3]], matrix(1, ncol = 4, nrow = 3, dimnames = list(c("p1", "p2", "p3"), c("i1", "i2", "i3", "i4"))) ) }) test_that("create_matrix_byname() works with matrix_class = 'Matrix'", { expect_error(create_matrix_byname(42, nrow = 1, ncol = 1, dimnames = list("r1", "c1"), matrix_class = "bogus"), "'arg' should be one of") single_mat_with_types <- create_matrix_byname(1 %>% setrowtype("testing_rowtype") %>% setcoltype("testing_coltype"), nrow = 1, ncol = 1, dimnames = list("r1", "c1"), matrix_class = "Matrix") expect_true(is.Matrix(single_mat_with_types)) # "all" retains row and column types matsbyname:::expect_equal_matrix_or_Matrix(single_mat_with_types, matrix(1, dimnames = list("r1", "c1")) %>% setrowtype("testing_rowtype") %>% setcoltype("testing_coltype")) # Test with row and column types single_mat_with_types <- create_matrix_byname(1 %>% setrowtype("rt") %>% setcoltype("ct"), nrow = 1, ncol = 1, dimnames = list("r1", "c1"), matrix_class = "Matrix") expect_equal(rowtype(single_mat_with_types), "rt") expect_equal(coltype(single_mat_with_types), "ct") single_mat_2 <- create_matrix_byname(c(1, 2), nrow = 2, ncol = 1, dimnames = list(c("r1", "r2"), "c1"), matrix_class = "Matrix") expect_true(is.Matrix(single_mat_2)) matsbyname:::expect_equal_matrix_or_Matrix(single_mat_2, matrix(c(1,2), nrow = 2, ncol = 1, dimnames = list(c("r1", "r2"), "c1"))) # Try with a list list_of_mats <- create_matrix_byname(list(1, 2), nrow = list(1, 1), ncol = list(1,1), dimnames = list(list("r1", "c1"), list("R1", "C1")), matrix_class = "Matrix") matsbyname:::expect_equal_matrix_or_Matrix(list_of_mats[[1]], matrix(1, dimnames = list("r1", "c1"))) matsbyname:::expect_equal_matrix_or_Matrix(list_of_mats[[2]], matrix(2, dimnames = list("R1", "C1"))) list_of_mats <- create_matrix_byname(list(1, 2) %>% setrowtype("testing_rowtypes") %>% setcoltype("testing_coltypes"), nrow = list(1, 1), ncol = list(1,1), dimnames = list(list("r1", "c1"), list("R1", "C1")), matrix_class = "Matrix") matsbyname:::expect_equal_matrix_or_Matrix(list_of_mats[[1]], matrix(1, dimnames = list("r1", "c1")) %>% setrowtype("testing_rowtypes") %>% setcoltype("testing_coltypes")) matsbyname:::expect_equal_matrix_or_Matrix(list_of_mats[[2]], matrix(2, dimnames = list("R1", "C1")) %>% setrowtype("testing_rowtypes") %>% setcoltype("testing_coltypes")) # Test with a list of different dimensions list_of_mats_2 <- create_matrix_byname(list(1, c(2, 3, 4, 5)), nrow = list(1, 2), ncol = list(1,2), dimnames = list(list("r1", "c1"), list(c("R1", "R2"), c("C1", "C2"))), matrix_class = "Matrix") matsbyname:::expect_equal_matrix_or_Matrix(list_of_mats_2[[1]], matrix(1, dimnames = list("r1", "c1"))) matsbyname:::expect_equal_matrix_or_Matrix(list_of_mats_2[[2]], matrix(c(2, 3, 4, 5), nrow = 2, ncol = 2, dimnames = list(c("R1", "R2"), c("C1", "C2")), byrow = FALSE)) # Try in a data frame df1 <- data.frame( dat = I(list()), nrows = I(list()), ncols = I(list()), dimnms = I(list()) ) df1[[1, "dat"]] <- 1 df1[[2, "dat"]] <- 2 df1[[3, "dat"]] <- c(1,2,3,4, 5, 6) df1[[1, "nrows"]] <- 1 df1[[2, "nrows"]] <- 1 df1[[3, "nrows"]] <- 2 df1[[1, "ncols"]] <- 1 df1[[2, "ncols"]] <- 1 df1[[3, "ncols"]] <- 3 df1[[1, "dimnms"]] <- list("r1", "c1") df1[[2, "dimnms"]] <- list("R1", "C1") df1[[3, "dimnms"]] <- list(c("r1", "r2"), c("c1", "c2", "c3")) res1 <- df1 %>% dplyr::mutate( mat_col = create_matrix_byname(dat, nrow = nrows, ncol = ncols, byrow = TRUE, dimnames = dimnms, matrix_class = "Matrix")) matsbyname:::expect_equal_matrix_or_Matrix(res1$mat_col[[1]], matrix(1, dimnames = list("r1", "c1"))) matsbyname:::expect_equal_matrix_or_Matrix(res1$mat_col[[2]], matrix(2, dimnames = list("R1", "C1"))) matsbyname:::expect_equal_matrix_or_Matrix(res1$mat_col[[3]], matrix(c(1, 2, 3, 4, 5, 6), byrow = TRUE, nrow = 2, ncol = 3, dimnames = list(c("r1", "r2"), c("c1", "c2", "c3")))) # Next, tests using a data frame with U matrices productnames <- c("p1", "p2") industrynames <- c("i1", "i2") U <- matsbyname::Matrix(1:4, nrow = 2, ncol = 2, dimnames = list(productnames, industrynames), rowtype = "Products", coltype = "Industries") productnames <- c("p1", "p2") industrynames <- c("i1", "i2", "i3") U2 <- matsbyname:::Matrix(1:3, ncol = length(industrynames), nrow = length(productnames), dimnames = list(productnames, industrynames), rowtype = "Products", coltype = "Industries") productnames <- c("p1", "p2", "p3") industrynames <- c("i1", "i2", "i3", "i4") U3 <- matsbyname:::Matrix(1:4, ncol = length(industrynames), nrow = length(productnames), dimnames = list(productnames, industrynames), rowtype = "Products", coltype = "Industries") dfUs <- data.frame( year = numeric(), matrix_byname = I(list()), dat = I(list()), number_of_rows = I(list()), number_of_cols = I(list()) ) dfUs[[1, "matrix_byname"]] <- U dfUs[[2, "matrix_byname"]] <- U2 dfUs[[3, "matrix_byname"]] <- U3 dfUs[[1, "year"]] <- 2000 dfUs[[2, "year"]] <- 2001 dfUs[[3, "year"]] <- 2002 dfUs_added_matrix <- dfUs %>% dplyr::mutate( dat = I(list(1)), number_of_rows = I(matsbyname::nrow_byname(matrix_byname)), number_of_cols = I(matsbyname::ncol_byname(matrix_byname)), row_names = matsbyname::getrownames_byname(matrix_byname), col_names = matsbyname::getcolnames_byname(matrix_byname), dimension_names = purrr::map2(.x = row_names, .y = col_names, .f = list), row_types_col = I(list("testing_rowtypes")), col_types_col = I(list("testing_coltypes")) ) res2 <- dfUs_added_matrix %>% dplyr::mutate( new_matrix = matsbyname::create_matrix_byname( dat, nrow = number_of_rows, ncol = number_of_cols, dimnames = dimension_names, matrix_class = "Matrix" ) ) matsbyname:::expect_equal_matrix_or_Matrix( res2$new_matrix[[1]], matrix(1, ncol = 2, nrow = 2, dimnames = list(c("p1", "p2"), c("i1", "i2"))) ) matsbyname:::expect_equal_matrix_or_Matrix( res2$new_matrix[[2]], matrix(1, ncol = 3, nrow = 2, dimnames = list(c("p1", "p2"), c("i1", "i2", "i3"))) ) matsbyname:::expect_equal_matrix_or_Matrix( res2$new_matrix[[3]], matrix(1, ncol = 4, nrow = 3, dimnames = list(c("p1", "p2", "p3"), c("i1", "i2", "i3", "i4"))) ) res3 <- dfUs_added_matrix %>% dplyr::mutate( new_matrix = matsbyname::create_matrix_byname( dat, nrow = number_of_rows, ncol = number_of_cols, dimnames = dimension_names, matrix_class = "Matrix" ) ) matsbyname:::expect_equal_matrix_or_Matrix( res3$new_matrix[[1]], matrix(1, ncol = 2, nrow = 2, dimnames = list(c("p1", "p2"), c("i1", "i2"))) ) matsbyname:::expect_equal_matrix_or_Matrix( res3$new_matrix[[2]], matrix(1, ncol = 3, nrow = 2, dimnames = list(c("p1", "p2"), c("i1", "i2", "i3"))) ) matsbyname:::expect_equal_matrix_or_Matrix( res3$new_matrix[[3]], matrix(1, ncol = 4, nrow = 3, dimnames = list(c("p1", "p2", "p3"), c("i1", "i2", "i3", "i4"))) ) }) test_that("create_rowvec_byname() works with Matrix objects", { # Try with a single number single_vec <- create_rowvec_byname(c(c1 = 1) %>% setrowtype("rt") %>% setcoltype("ct"), rowname = "r1", matrix_class = "Matrix") expect_true(is.Matrix(single_vec)) matsbyname:::expect_equal_matrix_or_Matrix(single_vec, matrix(1, dimnames = list("r1", "c1")) %>% setrowtype("rt") %>% setcoltype("ct")) # Test with dimnames sv_dimnames <- create_rowvec_byname(1, dimnames = list("r1", "c1"), matrix_class = "Matrix") matsbyname:::expect_equal_matrix_or_Matrix(sv_dimnames, matrix(1, dimnames = list("r1", "c1"))) # Try with a vector of numbers vector_vec <- create_rowvec_byname(c(c1 = 1, c2 = 2), rowname = "r1", matrix_class = "Matrix") matsbyname:::expect_equal_matrix_or_Matrix(vector_vec, matrix(c(1,2), ncol = 2, byrow = TRUE, dimnames = list("r1", c("c1", "c2")))) # Try with a list of vectors vv_vec <- create_rowvec_byname(list(c(c1 = 1, c2 = 2), c(C1 = 3, C2 = 4, C3 = 5)), rowname = list("r1", "R1"), matrix_class = "Matrix") matsbyname:::expect_equal_matrix_or_Matrix(vv_vec[[1]], matrix(c(1,2), ncol = 2, dimnames = list("r1", c("c1", "c2")))) # Try in a data frame dat <- list(c(c1 = 1), c(C1 = 2, C2 = 3), c(c1 = 1, c2 = 2, c3 = 3, c4 = 4, c5 = 5, c6 = 6)) rnms <- list("r1", "R1", "r1") df1 <- tibble::tibble(dat, rnms) res1 <- df1 %>% dplyr::mutate( rowvec_col = create_rowvec_byname(dat, rowname = rnms, matrix_class = "Matrix") ) matsbyname:::expect_equal_matrix_or_Matrix(res1$rowvec_col[[1]], matrix(1, dimnames = list("r1", "c1"))) matsbyname:::expect_equal_matrix_or_Matrix(res1$rowvec_col[[2]], matrix(c(2, 3), ncol = 2, dimnames = list("R1", c("C1", "C2")))) matsbyname:::expect_equal_matrix_or_Matrix(res1$rowvec_col[[3]], matrix(c(1, 2, 3, 4, 5, 6), nrow = 1, ncol = 6, dimnames = list("r1", c("c1", "c2", "c3", "c4", "c5", "c6")))) # Try in data frame with dimnames and named vector. See which one wins. dimnms <- list(list("r01", "c01"), list("R01", c("C01", "C02")), list("r01", c("c01", "c02", "c03", "c04", "c05", "c06"))) df2 <- tibble::tibble(dat, rnms, dimnms) res2 <- df2 %>% dplyr::mutate( rowvec_col = create_rowvec_byname(dat, dimnames = dimnms, rowname = rnms, matrix_class = "Matrix") ) # Explicitly setting dimnames should win. matsbyname:::expect_equal_matrix_or_Matrix(res2$rowvec_col[[1]], matrix(1, dimnames = list("r01", "c01"))) matsbyname:::expect_equal_matrix_or_Matrix(res2$rowvec_col[[2]], matrix(c(2, 3), ncol = 2, dimnames = list("R01", c("C01", "C02")))) matsbyname:::expect_equal_matrix_or_Matrix(res2$rowvec_col[[3]], matrix(c(1, 2, 3, 4, 5, 6), nrow = 1, ncol = 6, dimnames = list("r01", c("c01", "c02", "c03", "c04", "c05", "c06")))) }) test_that("create_colvec_byname() works as expected", { # Try with a single number single_vec <- create_colvec_byname(c(r1 = 1) %>% setrowtype("rt") %>% setcoltype("ct"), colname = "c1") expect_equal(single_vec, matrix(1, dimnames = list("r1", "c1")) %>% setrowtype("rt") %>% setcoltype("ct")) # Try with a vector of numbers vector_vec <- create_colvec_byname(c(r1 = 1, r2 = 2), colname = "c1") expect_equal(vector_vec, matrix(c(1,2), nrow = 2, dimnames = list(c("r1", "r2"), "c1"))) # Try with a list of vectors vv_vec <- create_colvec_byname(list(c(r1 = 1, r2 = 2), c(R1 = 3, R2 = 4, R3 = 5)), colname = list("c1", "C1")) expect_equal(vv_vec[[1]], matrix(c(1,2), nrow = 2, dimnames = list(c("r1", "r2"), "c1"))) # Try in a data frame dat <- list(c(r1 = 1), c(R1 = 2, R2 = 3), c(r1 = 1, r2 = 2, r3 = 3, r4 = 4, r5 = 5, r6 = 6)) cnms <- list("c1", "C1", "c1") df1 <- tibble::tibble(dat, cnms) res1 <- df1 %>% dplyr::mutate( colvec_col = create_colvec_byname(dat, colname = cnms) ) expect_equal(res1$colvec_col[[1]], matrix(1, dimnames = list("r1", "c1"))) expect_equal(res1$colvec_col[[2]], matrix(c(2, 3), nrow = 2, dimnames = list(c("R1", "R2"), "C1"))) expect_equal(res1$colvec_col[[3]], matrix(c(1, 2, 3, 4, 5, 6), nrow = 6, ncol = 1, dimnames = list(c("r1", "r2", "r3", "r4", "r5", "r6"), "c1"))) # Try in data frame with dimnames and named vector. See which one wins. dimnms <- list(list("r01", "c01"), list(c("R01", "R02"), "C01"), list(c("r01", "r02", "r03", "r04", "r05", "r06"), "c01")) df2 <- tibble::tibble(dat, cnms, dimnms) res2 <- df2 %>% dplyr::mutate( colvec_col = create_colvec_byname(dat, dimnames = dimnms, colname = cnms) ) # Explicitly setting dimnames should win. expect_equal(res2$colvec_col[[1]], matrix(1, dimnames = list("r01", "c01"))) expect_equal(res2$colvec_col[[2]], matrix(c(2, 3), nrow = 2, dimnames = list(c("R01", "R02"), "C01"))) expect_equal(res2$colvec_col[[3]], matrix(c(1, 2, 3, 4, 5, 6), nrow = 6, ncol = 1, dimnames = list(c("r01", "r02", "r03", "r04", "r05", "r06"), "c01"))) }) test_that("create_colvec_byname() works for Matrix objects", { # Try with a single number single_vec <- create_colvec_byname(c(r1 = 1) %>% setrowtype("rt") %>% setcoltype("ct"), colname = "c1", matrix_class = "Matrix") expect_true(is.Matrix(single_vec)) matsbyname:::expect_equal_matrix_or_Matrix(single_vec, matrix(1, dimnames = list("r1", "c1")) %>% setrowtype("rt") %>% setcoltype("ct")) # Try with a vector of numbers vector_vec <- create_colvec_byname(c(r1 = 1, r2 = 2), colname = "c1", matrix_class = "Matrix") matsbyname:::expect_equal_matrix_or_Matrix(vector_vec, matrix(c(1,2), nrow = 2, dimnames = list(c("r1", "r2"), "c1"))) # Try with a list of vectors vv_vec <- create_colvec_byname(list(c(r1 = 1, r2 = 2), c(R1 = 3, R2 = 4, R3 = 5)), colname = list("c1", "C1"), matrix_class = "Matrix") matsbyname:::expect_equal_matrix_or_Matrix(vv_vec[[1]], matrix(c(1,2), nrow = 2, dimnames = list(c("r1", "r2"), "c1"))) # Try in a data frame dat <- list(c(r1 = 1), c(R1 = 2, R2 = 3), c(r1 = 1, r2 = 2, r3 = 3, r4 = 4, r5 = 5, r6 = 6)) cnms <- list("c1", "C1", "c1") df1 <- tibble::tibble(dat, cnms) res1 <- df1 %>% dplyr::mutate( colvec_col = create_colvec_byname(dat, colname = cnms, matrix_class = "Matrix") ) matsbyname:::expect_equal_matrix_or_Matrix(res1$colvec_col[[1]], matrix(1, dimnames = list("r1", "c1"))) matsbyname:::expect_equal_matrix_or_Matrix(res1$colvec_col[[2]], matrix(c(2, 3), nrow = 2, dimnames = list(c("R1", "R2"), "C1"))) matsbyname:::expect_equal_matrix_or_Matrix(res1$colvec_col[[3]], matrix(c(1, 2, 3, 4, 5, 6), nrow = 6, ncol = 1, dimnames = list(c("r1", "r2", "r3", "r4", "r5", "r6"), "c1"))) # Try in data frame with dimnames and named vector. See which one wins. dimnms <- list(list("r01", "c01"), list(c("R01", "R02"), "C01"), list(c("r01", "r02", "r03", "r04", "r05", "r06"), "c01")) df2 <- tibble::tibble(dat, cnms, dimnms) res2 <- df2 %>% dplyr::mutate( colvec_col = create_colvec_byname(dat, dimnames = dimnms, colname = cnms, matrix_class = "Matrix") ) # Explicitly setting dimnames should win. matsbyname:::expect_equal_matrix_or_Matrix(res2$colvec_col[[1]], matrix(1, dimnames = list("r01", "c01"))) matsbyname:::expect_equal_matrix_or_Matrix(res2$colvec_col[[2]], matrix(c(2, 3), nrow = 2, dimnames = list(c("R01", "R02"), "C01"))) matsbyname:::expect_equal_matrix_or_Matrix(res2$colvec_col[[3]], matrix(c(1, 2, 3, 4, 5, 6), nrow = 6, ncol = 1, dimnames = list(c("r01", "r02", "r03", "r04", "r05", "r06"), "c01"))) }) test_that("rename_to_piece_byname() works as expected", { m <- matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, byrow = TRUE, dimnames = list(c("a -> b", "r2", "r3"), c("a -> b", "c -> d"))) res1 <- rename_to_piece_byname(m, piece = "pref", notation = RCLabels::arrow_notation) expected1 <- m dimnames(expected1) <- list(c("a", "r2", "r3"), c("a", "c")) expect_equal(res1, expected1) res2 <- rename_to_piece_byname(m, piece = "suff", notation = RCLabels::arrow_notation) expected2 <- m dimnames(expected2) <- list(c("b", "", ""), c("b", "d")) expect_equal(res2, expected2) # Check that it works for different margins. res3 <- rename_to_piece_byname(m, piece = "pref", margin = 1, notation = RCLabels::arrow_notation) expected3 <- m dimnames(expected3) <- list(c("a", "r2", "r3"), c("a -> b", "c -> d")) expect_equal(res3, expected3) res4 <- rename_to_piece_byname(m, piece = "suff", margin = 2, notation = RCLabels::arrow_notation) expected4 <- m dimnames(expected4) <- list(c("a -> b", "r2", "r3"), c("b", "d")) expect_equal(res4, expected4) # Check that it works in a list. res5 <- rename_to_piece_byname(list(m, m), piece = list("pref", "suff"), margin = list(1, 2), notation = RCLabels::arrow_notation) expected5 <- list(expected3, expected4) expect_equal(res5, expected5) # Check that margins can be determined from types. m2 <- m %>% setrowtype("rows") %>% setcoltype("cols") res6 <- rename_to_piece_byname(m2, piece = "pref", margin = "rows", notation = RCLabels::arrow_notation) expected6 <- m2 dimnames(expected6) <- list(c("a", "r2", "r3"), c("a -> b", "c -> d")) expect_equal(res6, expected6) res7 <- rename_to_piece_byname(m2, piece = "suff", margin = "rows", notation = RCLabels::arrow_notation) expected7 <- m2 dimnames(expected7) <- list(c("b", "", ""), c("a -> b", "c -> d")) expected7 <- expected7 |> setrowtype("") expect_equal(res7, expected7) }) test_that("rename_to_piece_byname() works with Matrix objects", { m <- matsbyname::Matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2, byrow = TRUE, dimnames = list(c("a -> b", "r2", "r3"), c("a -> b", "c -> d"))) res1 <- rename_to_piece_byname(m, piece = "pref", notation = RCLabels::arrow_notation) expected1 <- m dimnames(expected1) <- list(c("a", "r2", "r3"), c("a", "c")) expect_true(is.Matrix(res1)) expect_equal(res1, expected1) res2 <- rename_to_piece_byname(m, piece = "suff", notation = RCLabels::arrow_notation) expected2 <- m dimnames(expected2) <- list(c("b", "", ""), c("b", "d")) expect_equal(res2, expected2) # Check that it works for different margins. res3 <- rename_to_piece_byname(m, piece = "pref", margin = 1, notation = RCLabels::arrow_notation) expected3 <- m dimnames(expected3) <- list(c("a", "r2", "r3"), c("a -> b", "c -> d")) expect_equal(res3, expected3) res4 <- rename_to_piece_byname(m, piece = "suff", margin = 2, notation = RCLabels::arrow_notation) expected4 <- m dimnames(expected4) <- list(c("a -> b", "r2", "r3"), c("b", "d")) expect_equal(res4, expected4) # Check that it works in a list. res5 <- rename_to_piece_byname(list(m, m), piece = list("pref", "suff"), margin = list(1, 2), notation = RCLabels::arrow_notation) expected5 <- list(expected3, expected4) expect_equal(res5, expected5) # Check that margins can be determined from types. m2 <- m %>% setrowtype("rows") %>% setcoltype("cols") res6 <- rename_to_piece_byname(m2, piece = "pref", margin = "rows", notation = RCLabels::arrow_notation) expected6 <- m2 dimnames(expected6) <- list(c("a", "r2", "r3"), c("a -> b", "c -> d")) expect_equal(res6, expected6) res7 <- rename_to_piece_byname(m2, piece = "suff", margin = "rows", notation = RCLabels::arrow_notation) expected7 <- m2 dimnames(expected7) <- list(c("b", "", ""), c("a -> b", "c -> d")) expected7 <- expected7 |> setrowtype("") expect_equal(res7, expected7) }) test_that("rename_to_piece_byname() works as expected when inferring notation", { # Test with one that fails to infer. bad_mat <- matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, byrow = TRUE, dimnames = list(c("ab", "c -> d", "e -> f"), c("g -> h", "i -> j"))) expected <- bad_mat rownames(expected) <- c("ab", "c", "e") colnames(expected) <- c("g", "i") expect_equal(rename_to_piece_byname(bad_mat, piece = "pref"), expected) m <- matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, byrow = TRUE, dimnames = list(c("a -> b", "c -> d", "e -> f"), c("g -> h", "i -> j"))) res1 <- rename_to_piece_byname(m, piece = "pref") expected1 <- m dimnames(expected1) <- list(c("a", "c", "e"), c("g", "i")) expect_equal(res1, expected1) # Test with other inferred pieces (suffix, prepositions) res2 <- rename_to_piece_byname(m, piece = "suff") expected2 <- m dimnames(expected2) <- list(c("b", "d", "f"), c("h", "j")) expect_equal(res2, expected2) m2 <- matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, byrow = TRUE, dimnames = list(c("a [in b]", "c [in d]", "e [in f]"), c("g [in h]", "i [in j]"))) res3 <- rename_to_piece_byname(m2, piece = "pref") expected3 <- m2 dimnames(expected3) <- list(c("a", "c", "e"), c("g", "i")) expect_equal(res3, expected3) # This one picks up the full suffix, because not choosing most specific, # which defaults to the first matching notation, which is bracket notation. res4 <- rename_to_piece_byname(m2, piece = "suff") expected4 <- m2 dimnames(expected4) <- list(c("in b", "in d", "in f"), c("in h", "in j")) expect_equal(res4, expected4) # Now choose the most specific, which will be the in notation. # Thus, we will have b, d, f, h, and j as the row and column names. res5 <- rename_to_piece_byname(m2, piece = "suff", choose_most_specific = TRUE) expected5 <- m2 dimnames(expected5) <- list(c("b", "d", "f"), c("h", "j")) expect_equal(res5, expected5) # Choose the object of the "in" preposition. res6 <- rename_to_piece_byname(m2, piece = "in") expected6 <- m2 dimnames(expected6) <- list(c("b", "d", "f"), c("h", "j")) expect_equal(res6, expected6) # Try in a data frame with different notations. df <- tibble::tribble(~m, ~piece, ~cms, ~expected, m2, "pref", FALSE, expected3, m2, "suff", FALSE, expected4, m2, "suff", TRUE, expected5, m2, "in", FALSE, expected6) res <- df %>% dplyr::mutate(res = rename_to_piece_byname(a = m, piece = piece, choose_most_specific = cms)) for (i in 1:nrow(df)) { expect_equal(res$res[[i]], res$expected[[i]]) } }) test_that("rename_to_piece_byname() works as expected when inferring notation with Matrix objects", { # Test with one that fails to infer. bad_mat <- matsbyname::Matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2, byrow = TRUE, dimnames = list(c("ab", "c -> d", "e -> f"), c("g -> h", "i -> j")), rowtype = "rows", coltype = "cols") expected <- bad_mat rownames(expected) <- c("ab", "c", "e") colnames(expected) <- c("g", "i") expect_equal(rename_to_piece_byname(bad_mat, piece = "pref"), expected) m <- matsbyname::Matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2, byrow = TRUE, dimnames = list(c("a -> b", "c -> d", "e -> f"), c("g -> h", "i -> j")), rowtype = "rows", coltype = "cols") res1 <- rename_to_piece_byname(m, piece = "pref") expected1 <- m dimnames(expected1) <- list(c("a", "c", "e"), c("g", "i")) expect_equal(res1, expected1) # Test with other inferred pieces (suffix, prepositions) res2 <- rename_to_piece_byname(m, piece = "suff") expected2 <- m dimnames(expected2) <- list(c("b", "d", "f"), c("h", "j")) expect_equal(res2, expected2) m2 <- matsbyname::Matrix(c(1, 2, 3, 4, 5, 6), nrow = 3, ncol = 2, byrow = TRUE, dimnames = list(c("a [in b]", "c [in d]", "e [in f]"), c("g [in h]", "i [in j]"))) res3 <- rename_to_piece_byname(m2, piece = "pref") expected3 <- m2 dimnames(expected3) <- list(c("a", "c", "e"), c("g", "i")) expect_equal(res3, expected3) # This one picks up the full suffix, because not choosing most specific, # which defaults to the first matching notation, which is bracket notation. res4 <- rename_to_piece_byname(m2, piece = "suff") expected4 <- m2 dimnames(expected4) <- list(c("in b", "in d", "in f"), c("in h", "in j")) expect_equal(res4, expected4) # Now choose the most specific, which will be the in notation. # Thus, we will have b, d, f, h, and j as the row and column names. res5 <- rename_to_piece_byname(m2, piece = "suff", choose_most_specific = TRUE) expected5 <- m2 dimnames(expected5) <- list(c("b", "d", "f"), c("h", "j")) expect_equal(res5, expected5) # Choose the object of the "in" preposition. res6 <- rename_to_piece_byname(m2, piece = "in") expected6 <- m2 dimnames(expected6) <- list(c("b", "d", "f"), c("h", "j")) expect_equal(res6, expected6) # Try in a data frame with different notations. df <- tibble::tribble(~m, ~piece, ~cms, ~expected, m2, "pref", FALSE, expected3, m2, "suff", FALSE, expected4, m2, "suff", TRUE, expected5, m2, "in", FALSE, expected6) res <- df %>% dplyr::mutate(res = rename_to_piece_byname(a = m, piece = piece, choose_most_specific = cms)) for (i in 1:nrow(df)) { expect_equal(res$res[[i]], res$expected[[i]]) } }) test_that("rename_to_piece_byname() works with inferred margins", { m1 <- matrix(c(1, 2, 3, 4, 5, 6), nrow = 2, ncol = 3, byrow = TRUE, dimnames = list(c("Electricity [from Coal]", "Electricity [from Solar]"), c("Motors -> MD", "Cars -> MD", "LED lamps -> Light"))) %>% setrowtype("Product [from Product]") %>% setcoltype("Industry -> Product") res1 <- rename_to_piece_byname(m1, piece = "pref", margin = "Product [from Product]", choose_most_specific = TRUE) expected1 <- m1 expected1 <- setrownames_byname(expected1, c("Electricity", "Electricity")) expected1 <- setrowtype(expected1, "Product") expect_equal(res1, expected1) # Make sure it also works when the type doesn't have the same structure # as the row and column names. m2 <- m1 %>% setrowtype("Product") %>% setcoltype("Industry") res2 <- rename_to_piece_byname(m2, piece = "pref", margin = "Product") expected2 <- m2 expected2 <- setrownames_byname(expected2, c("Electricity", "Electricity")) expect_equal(res2, expected2) }) test_that("rename_to_piece_byname() works with inferred margins in Matrix objects", { m1 <- matsbyname::Matrix(c(1, 2, 3, 4, 5, 6), nrow = 2, ncol = 3, byrow = TRUE, dimnames = list(c("Electricity [from Coal]", "Electricity [from Solar]"), c("Motors -> MD", "Cars -> MD", "LED lamps -> Light")), rowtype = "Product [from Product]", coltype = "Industry -> Product") res1 <- rename_to_piece_byname(m1, piece = "pref", margin = "Product [from Product]", choose_most_specific = TRUE) expected1 <- m1 expected1 <- setrownames_byname(expected1, c("Electricity", "Electricity")) expected1 <- setrowtype(expected1, "Product") expect_equal(res1, expected1) # Make sure it also works when the type doesn't have the same structure # as the row and column names. m2 <- m1 %>% setrowtype("Product") %>% setcoltype("Industry") res2 <- rename_to_piece_byname(m2, piece = "pref", margin = "Product") expected2 <- m2 expected2 <- setrownames_byname(expected2, c("Electricity", "Electricity")) expect_equal(res2, expected2) }) test_that("margin_from_types_byname() works as expected", { # Try with a single matrix m <- matrix(1) %>% setrowtype("Product") %>% setcoltype("Industry") expect_equal(margin_from_types_byname(m, "Product"), 1) expect_equal(margin_from_types_byname(m, "Industry"), 2) expect_equal(margin_from_types_byname(m, c("Product", "Industry")), c(1, 2)) expect_equal(margin_from_types_byname(m, c("Industry", "Product")), c(1, 2)) # Try with a type that isn't in the row or column types. expect_equal(margin_from_types_byname(m, "bogus"), NA_integer_) # Try with one type that IS in the row or column types and one type that is not. expect_equal(margin_from_types_byname(m, c("bogus", "Product")), 1) # Try with a non-character types argument expect_equal(margin_from_types_byname(m, c(1, 2)), c(1, 2)) # Try with a list of matrices expect_equal(margin_from_types_byname(list(m, m), types = "Product"), list(1, 1)) expect_equal(margin_from_types_byname(list(m, m), types = "Industry"), list(2, 2)) expect_equal(margin_from_types_byname(list(m, m), types = c("Product", "Product")), list(1, 1)) expect_equal(margin_from_types_byname(list(m, m), types = c("Industry", "Industry")), list(2, 2)) expect_equal(margin_from_types_byname(list(m, m), types = c("Product", "Industry")), list(1, 2)) expect_equal(margin_from_types_byname(list(m, m), types = list("Product", "Industry")), list(1, 2)) expect_equal(margin_from_types_byname(list(m, m), types = list(c("Product", "Industry"))), list(c(1, 2), c(1, 2))) expect_equal(margin_from_types_byname(list(m, m), types = list(c("Product", "Industry"), c("Product", "Industry"))), list(c(1, 2), c(1, 2))) # Try in a data frame. m2 <- matrix(2) %>% setrowtype("Industry") %>% setcoltype("Product") df <- tibble::tibble(m = list(m, m2), types1 = list("Product", "Industry"), types2 = list(c("Product", "Industry"), "Industry"), types3 = "bogus") res <- df %>% dplyr::mutate( margin1 = margin_from_types_byname(m, types1), margin2 = margin_from_types_byname(m, types2), margin3 = margin_from_types_byname(m, types3) ) expect_equal(res$margin1, list(1, 1)) expect_equal(res$margin2, list(c(1, 2), 1)) expect_equal(res$margin3, list(NA_integer_, NA_integer_)) }) test_that("margin_from_types_byname() works for Matrix objects", { # Try with a single matrix m <- matsbyname::Matrix(1) %>% setrowtype("Product") %>% setcoltype("Industry") expect_equal(margin_from_types_byname(m, "Product"), 1) expect_equal(margin_from_types_byname(m, "Industry"), 2) expect_equal(margin_from_types_byname(m, c("Product", "Industry")), c(1, 2)) expect_equal(margin_from_types_byname(m, c("Industry", "Product")), c(1, 2)) # Try with a type that isn't in the row or column types. expect_equal(margin_from_types_byname(m, "bogus"), NA_integer_) # Try with one type that IS in the row or column types and one type that is not. expect_equal(margin_from_types_byname(m, c("bogus", "Product")), 1) # Try with a non-character types argument expect_equal(margin_from_types_byname(m, c(1, 2)), c(1, 2)) # Try with a list of matrices expect_equal(margin_from_types_byname(list(m, m), types = "Product"), list(1, 1)) expect_equal(margin_from_types_byname(list(m, m), types = "Industry"), list(2, 2)) expect_equal(margin_from_types_byname(list(m, m), types = c("Product", "Product")), list(1, 1)) expect_equal(margin_from_types_byname(list(m, m), types = c("Industry", "Industry")), list(2, 2)) expect_equal(margin_from_types_byname(list(m, m), types = c("Product", "Industry")), list(1, 2)) expect_equal(margin_from_types_byname(list(m, m), types = list("Product", "Industry")), list(1, 2)) expect_equal(margin_from_types_byname(list(m, m), types = list(c("Product", "Industry"))), list(c(1, 2), c(1, 2))) expect_equal(margin_from_types_byname(list(m, m), types = list(c("Product", "Industry"), c("Product", "Industry"))), list(c(1, 2), c(1, 2))) # Try in a data frame. m2 <- matsbyname::Matrix(2) %>% setrowtype("Industry") %>% setcoltype("Product") df <- tibble::tibble(m = list(m, m2), types1 = list("Product", "Industry"), types2 = list(c("Product", "Industry"), "Industry"), types3 = "bogus") res <- df %>% dplyr::mutate( margin1 = margin_from_types_byname(m, types1), margin2 = margin_from_types_byname(m, types2), margin3 = margin_from_types_byname(m, types3) ) expect_equal(res$margin1, list(1, 1)) expect_equal(res$margin2, list(c(1, 2), 1)) expect_equal(res$margin3, list(NA_integer_, NA_integer_)) }) test_that("prep_vector_arg() works as expected", { a <- matsbyname::Matrix(1) res <- prep_vector_arg(a, list(RCLabels::notations_list)) expect_equal(res, RCLabels::notations_list) # Now try with a list of 2 matrices a <- list(matsbyname::Matrix(1), matsbyname::Matrix(1)) res <- prep_vector_arg(a, list(RCLabels::notations_list)) expect_equal(res, list(RCLabels::notations_list)) }) test_that("list_of_rows_or_cols() works as expected", { m <- matrix(data = c(1:6), nrow = 2, ncol = 3, dimnames = list(c("p1", "p2"), c("i1", "i2", "i3"))) %>% setrowtype(rowtype = "Products") %>% setcoltype(coltype = "Industries") expected_margin_1 <- list(p1 = matrix(seq(1, 5, by = 2), nrow = 3, ncol = 1, dimnames = list(c("i1", "i2", "i3"), "p1")) %>% setrowtype("Industries") %>% setcoltype("Products"), p2 = matrix(seq(2, 6, by = 2), nrow = 3, ncol = 1, dimnames = list(c("i1", "i2", "i3"), "p2")) %>% setrowtype("Industries") %>% setcoltype("Products")) expected_margin_2 <- list(i1 = matrix(1:2, nrow = 2, ncol = 1, dimnames = list(c("p1", "p2"), "i1")) %>% setrowtype("Products") %>% setcoltype("Industries"), i2 = matrix(3:4, nrow = 2, ncol = 1, dimnames = list(c("p1", "p2"), "i2")) %>% setrowtype("Products") %>% setcoltype("Industries"), i3 = matrix(5:6, nrow = 2, ncol = 1, dimnames = list(c("p1", "p2"), "i3")) %>% setrowtype("Products") %>% setcoltype("Industries")) expect_equal(list_of_rows_or_cols(m, margin = 1), expected = expected_margin_1) expect_equal(list_of_rows_or_cols(m, margin = 2), expected = expected_margin_2) # Using data frames DF <- data.frame(m = I(list())) DF[[1,"m"]] <- m DF[[2,"m"]] <- m DF <- DF %>% dplyr::mutate( extracted_rows = list_of_rows_or_cols(m, margin = 1), extracted_cols = list_of_rows_or_cols(m, margin = 2) ) expect_equal(DF$extracted_rows, list(expected_margin_1, expected_margin_1)) expect_equal(DF$extracted_cols, list(expected_margin_2, expected_margin_2)) }) test_that("list_of_rows_or_cols() works with Matrix objects", { m <- matsbyname::Matrix(data = c(1:6), nrow = 2, ncol = 3, dimnames = list(c("p1", "p2"), c("i1", "i2", "i3"))) %>% setrowtype(rowtype = "Products") %>% setcoltype(coltype = "Industries") expected_margin_1 <- list(p1 = matsbyname::Matrix(seq(1, 5, by = 2), nrow = 3, ncol = 1, dimnames = list(c("i1", "i2", "i3"), "p1")) %>% setrowtype("Industries") %>% setcoltype("Products"), p2 = matsbyname::Matrix(seq(2, 6, by = 2), nrow = 3, ncol = 1, dimnames = list(c("i1", "i2", "i3"), "p2")) %>% setrowtype("Industries") %>% setcoltype("Products")) expected_margin_2 <- list(i1 = matsbyname::Matrix(1:2, nrow = 2, ncol = 1, dimnames = list(c("p1", "p2"), "i1")) %>% setrowtype("Products") %>% setcoltype("Industries"), i2 = matsbyname::Matrix(3:4, nrow = 2, ncol = 1, dimnames = list(c("p1", "p2"), "i2")) %>% setrowtype("Products") %>% setcoltype("Industries"), i3 = matsbyname::Matrix(5:6, nrow = 2, ncol = 1, dimnames = list(c("p1", "p2"), "i3")) %>% setrowtype("Products") %>% setcoltype("Industries")) expect_equal(list_of_rows_or_cols(m, margin = 1), expected = expected_margin_1) expect_equal(list_of_rows_or_cols(m, margin = 2), expected = expected_margin_2) # Using data frames DF <- data.frame(m = I(list())) DF[[1,"m"]] <- m DF[[2,"m"]] <- m DF <- DF %>% dplyr::mutate( extracted_rows = list_of_rows_or_cols(m, margin = 1), extracted_cols = list_of_rows_or_cols(m, margin = 2) ) expect_equal(DF$extracted_rows, list(expected_margin_1, expected_margin_1)) expect_equal(DF$extracted_cols, list(expected_margin_2, expected_margin_2)) }) test_that("organize_args() works as expected", { # If only one argument is a list, make the other argument also a list of equal length. expect_equal(matsbyname:::organize_args(a = list(1,2), b = 3), list(a = list(1,2), b = list(3,3))) expect_equal(matsbyname:::organize_args(a = 3, b = list(1,2)), list(a = list(3,3), b = list(1,2))) # If both arguments are lists, ensure that they are same length. expect_equal(matsbyname:::organize_args(a = list(1,2,3), b = list(4,5,6)), list(a = list(1,2,3), b = list(4,5,6))) expect_error(matsbyname:::organize_args(a = list(1,2,3), b = list(4,5,6,7)), "length\\(a\\) == length\\(b\\) is not TRUE") # If one argument is a matrix and the other is a constant, make the constant into a matrix. m <- matrix(c(1,2,3,4), nrow = 2, dimnames = list(c("p1", "p2"), c("i1", "i2"))) %>% setrowtype("Products") %>% setcoltype("Industries") expect_equal(matsbyname:::organize_args(a = m, b = 2), list(a = m, b = matrix(2, nrow = 2, ncol = 2, dimnames = list(c("p1", "p2"), c("i1", "i2"))) %>% setrowtype("Products") %>% setcoltype("Industries"))) # Ensures that row and column types match # Completes and sorts the matrices n <- matrix(c(1:6), nrow = 3, ncol = 2, dimnames = list(c("p1", "p2", "p3"), c("i1", "i2"))) %>% setrowtype("Products") %>% setcoltype("Industries") # Neither row nor column types match, but error will say column types are mismatched. expect_error(matsbyname:::organize_args(a = m %>% setrowtype("rows"), b = n), "rowtype\\(a\\) \\(rows\\) != rowtype\\(b\\) \\(Products\\).") # By setting the rowtype to match, the error should shift to mismatched column types expect_error(matsbyname:::organize_args(a = m, b = n %>% setcoltype("cols")), "coltype\\(a\\) \\(Industries\\) != coltype\\(b\\) \\(cols\\).") # This should work, because the rowtype and coltype are now same for both expect_equal(matsbyname:::organize_args(a = m, b = n), list(a = matrix(c(1,3, 2,4, 0,0), nrow = 3, ncol = 2, byrow = TRUE, dimnames = list(c("p1", "p2", "p3"), c("i1", "i2"))) %>% setrowtype("Products") %>% setcoltype("Industries"), b = matrix(c(1,4, 2,5, 3,6), nrow = 3, ncol = 2, byrow = TRUE, dimnames = list(c("p1", "p2", "p3"), c("i1", "i2"))) %>% setrowtype("Products") %>% setcoltype("Industries"))) # If one argument is a list and the other argument is a matrix, duplicate the matrix to match the length of the list expect_equal(matsbyname:::organize_args(a = list(1, 2), b = m), list(a = list(1, 2), b = list(m, m))) expect_equal(matsbyname:::organize_args(a = n, b = list(m, m)), list(a = list(n, n), b = list(m, m))) # Test the match_type argument p <- transpose_byname(n) # If we don't specify match_type = "matmult", # organize_args will try to ensure that rows of m and rows of p are same type. # organize_args will also try to ensure that cols of m and cols of p are same type. # These aren't true, so this will error. expect_error(matsbyname:::organize_args(a = m, b = p), "rowtype\\(a\\) \\(Products\\) != rowtype\\(b\\) \\(Industries\\).") # When we say match_type = "matmult", we indicate that the columns of a and the rows of b must match. expect_equal(matsbyname:::organize_args(a = m, b = p, match_type = "matmult"), list(a = m, b = p)) # Test that values are filled appropriately. expect_equal(matsbyname:::organize_args(a = NULL, b = 5, fill = 42), list(a = 42, b = 5)) expect_equal(matsbyname:::organize_args(b = 5, fill = 42), list(a = 42, b = 5)) expect_equal(matsbyname:::organize_args(a = 3, b = NULL, fill = 42), list(a = 3, b = 42)) expect_equal(matsbyname:::organize_args(a = 3, fill = 42), list(a = 3, b = 42)) }) test_that("organize_args() works with Matrix objects", { # If one argument is a matrix and the other is a constant, make the constant into a matrix. m <- matsbyname::Matrix(c(1,2,3,4), nrow = 2, ncol = 2, dimnames = list(c("p1", "p2"), c("i1", "i2"))) %>% setrowtype("Products") %>% setcoltype("Industries") expect_equal(matsbyname:::organize_args(a = m, b = 2), list(a = m, b = matsbyname::Matrix(2, nrow = 2, ncol = 2, dimnames = list(c("p1", "p2"), c("i1", "i2"))) %>% setrowtype("Products") %>% setcoltype("Industries"))) # Ensures that row and column types match # Completes and sorts the matrices n <- matsbyname::Matrix(c(1:6), nrow = 3, ncol = 2, dimnames = list(c("p1", "p2", "p3"), c("i1", "i2"))) %>% setrowtype("Products") %>% setcoltype("Industries") # Neither row nor column types match, but error will say column types are mismatched. expect_error(matsbyname:::organize_args(a = m %>% setrowtype("rows"), b = n), "rowtype\\(a\\) \\(rows\\) != rowtype\\(b\\) \\(Products\\).") # By setting the rowtype to match, the error should shift to mismatched column types expect_error(matsbyname:::organize_args(a = m, b = n %>% setcoltype("cols")), "coltype\\(a\\) \\(Industries\\) != coltype\\(b\\) \\(cols\\).") # This should work, because the rowtype and coltype are now same for both expect_equal(matsbyname:::organize_args(a = m, b = n), list(a = matsbyname::Matrix(c(1,3, 2,4, 0,0), nrow = 3, ncol = 2, byrow = TRUE, dimnames = list(c("p1", "p2", "p3"), c("i1", "i2"))) %>% setrowtype("Products") %>% setcoltype("Industries"), b = matsbyname::Matrix(c(1,4, 2,5, 3,6), nrow = 3, ncol = 2, byrow = TRUE, dimnames = list(c("p1", "p2", "p3"), c("i1", "i2"))) %>% setrowtype("Products") %>% setcoltype("Industries"))) # If one argument is a list and the other argument is a matrix, duplicate the matrix to match the length of the list expect_equal(matsbyname:::organize_args(a = list(1, 2), b = m), list(a = list(1, 2), b = list(m, m))) expect_equal(matsbyname:::organize_args(a = n, b = list(m, m)), list(a = list(n, n), b = list(m, m))) # Test the match_type argument p <- transpose_byname(n) # If we don't specify match_type = "matmult", # organize_args will try to ensure that rows of m and rows of p are same type. # organize_args will also try to ensure that cols of m and cols of p are same type. # These aren't true, so this will error. expect_error(matsbyname:::organize_args(a = m, b = p), "rowtype\\(a\\) \\(Products\\) != rowtype\\(b\\) \\(Industries\\).") # When we say match_type = "matmult", we indicate that the columns of a and the rows of b must match. expect_equal(matsbyname:::organize_args(a = m, b = p, match_type = "matmult"), list(a = m, b = p)) })