# tests from tidyr regarding pivot_longer test_that("can pivot all cols (unspecified) to long", { df <- data.table(x = 1:2, y = 3:4) pivot_df <- pivot_longer(df) expect_named(pivot_df, c("name", "value")) expect_equal(pivot_df$name, c("x","x","y","y")) expect_equal(pivot_df$value, 1:4) }) test_that("pivot_longer. works", { df <- data.table(x = 1:2, y = 3:4) pivot_df <- pivot_longer.(df) %>% suppressWarnings() expect_named(pivot_df, c("name", "value")) expect_equal(pivot_df$name, c("x","x","y","y")) expect_equal(pivot_df$value, 1:4) }) test_that("can pivot all cols (unspecified) to long with data.frame", { df <- data.frame(x = 1:2, y = 3:4) pivot_df <- pivot_longer(df) expect_named(pivot_df, c("name", "value")) expect_equal(pivot_df$name, c("x","x","y","y")) expect_equal(pivot_df$value, 1:4) }) test_that("doesn't convert character cols to factor", { df <- data.table(x = c("a", "b"), y = c("a", "b")) pivot_df <- pivot_longer(df) expect_named(pivot_df, c("name", "value")) expect_equal(pivot_df$name, c("x","x","y","y")) expect_equal(pivot_df$value, c("a", "b", "a", "b")) }) test_that("can pivot all cols (specified) to long", { df <- data.table(x = 1:2, y = 3:4) pivot_df <- pivot_longer(df, cols = c(x,y)) expect_named(pivot_df, c("name", "value")) expect_equal(pivot_df$name, c("x","x","y","y")) expect_equal(pivot_df$value, 1:4) }) test_that("can coerce names with names_transform", { df <- data.table("1"=10, "2"=20) # transform in a list pivot_df <- df %>% pivot_longer(1:2, names_to = "int", names_transform = list(int = as.integer)) expect_named(pivot_df, c("int", "value")) expect_equal(pivot_df$int, c(1, 2)) expect_true(is.integer(pivot_df$int)) expect_equal(pivot_df$value, c(10, 20)) # Can pass single transform pivot_df <- df %>% pivot_longer(1:2, names_to = "int", names_transform = as.integer) expect_named(pivot_df, c("int", "value")) expect_equal(pivot_df$int, c(1, 2)) expect_true(is.integer(pivot_df$int)) expect_equal(pivot_df$value, c(10, 20)) }) test_that("can coerce names with names_ptype", { df <- data.table("1"=10, "2"=20) pivot_df <- df %>% pivot_longer(1:2, names_to = "int", names_ptype = list(int = factor())) expect_named(pivot_df, c("int", "value")) expect_equal(pivot_df$int, as.factor(c(1, 2))) expect_equal(pivot_df$value, c(10, 20)) pivot_df <- df %>% pivot_longer(1:2, names_to = "int", names_ptype = factor()) expect_named(pivot_df, c("int", "value")) expect_equal(pivot_df$int, as.factor(c(1, 2))) expect_equal(pivot_df$value, c(10, 20)) }) test_that("can coerce values with values_transform", { df <- data.table(x = 1:2, y = 3:4) pivot_df <- df %>% pivot_longer(cols = c(x,y), values_transform = list(value = as.character)) %>% arrange(name, value) expect_named(pivot_df, c("name", "value")) expect_equal(pivot_df$name, c("x","x","y","y")) expect_equal(pivot_df$value, as.character(c(1,2,3,4))) # Passing a single function pivot_df <- df %>% pivot_longer(cols = c(x,y), values_transform = as.character) %>% arrange(name, value) expect_named(pivot_df, c("name", "value")) expect_equal(pivot_df$name, c("x","x","y","y")) expect_equal(pivot_df$value, as.character(c(1,2,3,4))) }) test_that("can coerce values with values_ptypes", { df <- data.table(x = 1:2, y = 3:4) pivot_df <- df %>% pivot_longer(cols = c(x,y), values_ptype = list(value = int())) %>% arrange(name, value) pivot_df <- df %>% pivot_longer(cols = c(x,y), values_ptype = int()) %>% arrange(name, value) expect_named(pivot_df, c("name", "value")) expect_equal(pivot_df$name, c("x","x","y","y")) expect_equal(pivot_df$value, c(1L,2L,3L,4L)) }) test_that("preserves original keys", { df <- data.table(x = 1:2, y = 2, z = 1:2) %>% mutate(across(everything(), as.double)) pivot_df <- pivot_longer(df, cols = c(y, z)) expect_named(pivot_df, c("x", "name", "value")) expect_equal(pivot_df$x, c(1,2,1,2)) }) test_that("can drop missing values", { df <- data.table(x = c(1, NA), y = c(NA, 2)) pivot_df <- pivot_longer(df, c(x,y), values_drop_na = TRUE) expect_equal(pivot_df$name, c("x", "y")) expect_equal(pivot_df$value, c(1,2)) }) test_that("drops using | condition when using .value", { df <- data.table(x_1 = 1, x_2 = 2, y_1 = NA, y_2 = 2) pivot_df <- df %>% pivot_longer(names_to = c(".value", "id"), names_sep = "_", values_drop_na = TRUE) expect_named(pivot_df, c("id", "x", "y")) expect_equal(pivot_df$y, c(NA,2)) df <- data.table(x_1 = NA, x_2 = 2, y_1 = NA, y_2 = 2) pivot_df <- df %>% pivot_longer(names_to = c(".value", "id"), names_sep = "_", values_drop_na = TRUE) expect_named(pivot_df, c("id", "x", "y")) expect_equal(pivot_df$y, 2) }) test_that("... args to melt", { df <- data.table(x = c(1, 2), y = c(2,2)) expect_named(pivot_longer(df, c(x,y), verbose = TRUE), c("name", "value")) }) test_that("testing removal of multiple columns", { df <- data.table(x = c(1, 2), y = c(2,2), z = c(1,1)) expect_named(pivot_longer(df, c(-x)), c("x", "name", "value")) expect_named(pivot_longer(df, -x), c("x", "name", "value")) expect_named(pivot_longer(df, c(-x,-y)), c("x", "y", "name", "value")) expect_error(pivot_longer(df, c(-x,-y,-z))) }) test_that("stops if given vector", { df <- data.table(x = c(1, 2), y = c(2,2)) expect_error(pivot_longer(df$x, c(x,-y))) }) test_that("works with select helpers", { df <- data.table(x = 1:2, y = 2, z = 1:2) %>% mutate(across(everything(), as.double)) pivot_df <- pivot_longer(df, cols = c(starts_with("y"), contains("z")))[order(name, value)] expect_named(pivot_df, c("x", "name", "value")) expect_equal(pivot_df$x, c(1,2,1,2)) expect_equal(pivot_df$name, c("y","y","z","z")) expect_equal(pivot_df$value, c(2,2,1,2)) }) test_that("names_pattern works", { test_df <- data.table(a1_1 = 1, b2_2 = 2) pivot_df <- test_df %>% pivot_longer( names_to = c("a", "b"), names_pattern = "([[:alnum:]]+)_([[:alnum:]]+)" ) expect_named(pivot_df, c("a", "b", "value")) expect_equal(pivot_df$a, c("a1", "b2")) expect_equal(pivot_df$b, c("1", "2")) expect_equal(pivot_df$value, c(1, 2)) }) test_that("can pivot all cols (specified) to long with quosure function", { df <- data.table(x = 1:2, y = 3:4) pivot_longer_fn <- function(.df, col1, col2) { pivot_longer(.df, cols = c({{ col1 }}, {{ col2 }})) } pivot_df <- pivot_longer_fn(df, x, y)[order(name, value)] expect_named(pivot_df, c("name", "value")) expect_equal(pivot_df$name, c("x","x","y","y")) expect_equal(pivot_df$value, c(1,2,3,4)) }) test_that("can use names_prefix", { df <- data.table(x_x = 1:2, x_y = 3:4) pivot_df <- pivot_longer(df, names_prefix = "x_") %>% arrange(name, value) expect_named(pivot_df, c("name", "value")) expect_equal(pivot_df$name, c("x","x","y","y")) expect_equal(pivot_df$value, c(1,2,3,4)) }) test_that("can pivot to multiple measure cols", { test_df <- tidytable(x_3 = 3, x_4 = 4, y_3 = 3, y_4 = 4) out <- test_df %>% pivot_longer(names_to = c(".value", "id"), names_sep = "_") expect_named(out, c("id", "x", "y")) expect_equal(out$id, c("3", "4")) }) test_that("can drop the 'id' column by specifying NA", { test_df <- tidytable(x_3 = 3, x_4 = 4, y_3 = 3, y_4 = 4) out <- test_df %>% pivot_longer(names_to = c(".value", NA), names_sep = "_") expect_named(out, c("x", "y")) expect_equal(out$x, c(3, 4)) expect_equal(out$y, c(3, 4)) }) test_that("balanced data can have different column order", { test_df <- tidytable(x_3 = 3, x_4 = 4, y_4 = 4, y_3 = 3) out <- test_df %>% pivot_longer(names_to = c(".value", "id"), names_sep = "_") expect_named(out, c("id", "x", "y")) expect_equal(out$id, c("3", "4")) }) test_that(".value can be at any position in `names_to`", { samp1 <- tidytable( i = 1:4, y_t1 = rnorm(4), y_t2 = rnorm(4), z_t1 = rep(3, 4), z_t2 = rep(-2, 4), ) value_first <- samp1 %>% pivot_longer(-i, names_to = c(".value", "time"), names_sep = "_") samp2 <- samp1 %>% rename(t1_y = y_t1, t2_y = y_t2, t1_z = z_t1, t2_z = z_t2) value_second <- samp2 %>% pivot_longer(-i, names_to = c("time", ".value"), names_sep = "_") expect_identical(value_first, value_second) }) test_that("works with unbalanced data - 1", { dt <- tidytable( id = c("A", "B"), x_1 = c(1, 3), x_2 = c(2, 4), y_2 = c("a", "b") ) out <- pivot_longer(dt, -id, names_to = c(".value", "n"), names_sep = "_") expect_named(out, c("id", "n", "x", "y")) expect_equal(out$x, c(1, 3, 2, 4)) expect_equal(out$y, c(NA, NA, "a", "b")) }) test_that("works with unbalanced data - 2", { test_df <- tidytable(x2 = 2, x3 = 3, y5 = 5, y6 = 6) out <- test_df %>% pivot_longer(names_to = c(".value", "id"), names_pattern = "(.)(.)") expect_named(out, c("id", "x", "y")) expect_equal(out$id, c("2", "3", "5", "6")) expect_equal(out$x, c(2, 3, NA, NA)) expect_equal(out$y, c(NA, NA, 5, 6)) }) test_that("works with unbalanced data - 3", { set.seed(2334) test_df <- data.table( a_alpha = rnorm(3), a_gamma = rnorm(3), b_beta = rnorm(3), b_gamma = rnorm(3), groups = 1:3 ) out <- test_df %>% pivot_longer(-groups, names_to = c(".value", "labels"), names_sep = "_") expect_equal(out$groups, rep(1:3, 3)) expect_equal(out$labels, c(rep("alpha", 3), rep("beta", 3), rep("gamma", 3))) expect_equal( round(out$a, 3), c(-0.118, 1.237, 0.809, NA, NA, NA, -0.766, -0.592, 0.528) ) expect_equal( round(out$b, 3), c(NA, NA, NA, 1.682, -0.574, -0.057, -0.706, 0.002, 1.064) ) }) test_that("errors with `names_to = '.value'`", { dt <- tidytable(x1 = 1, x2 = 2, y1 = 1, y2 = 2) expect_error( dt %>% pivot_longer( !id, names_to = ".value", names_pattern = "(.)." ) ) }) test_that("doesn't convert factor cols to character, #202", { fct_df <- tidytable(x = factor("a"), y = factor("b")) out <- pivot_longer(fct_df) expect_equal(out$value, as.factor(c("a", "b"))) }) test_that("doesn't convert factor cols to character, #234. Preserves column order, #235", { df <- tidytable( fct_1 = factor("a"), fct_2 = factor("b"), dbl_1 = 1, dbl_2 = 2, chr_1 = "a", chr_2 = "b" ) out <- df %>% pivot_longer(names_to = c(".value", "id"), names_sep = "_") expect_named(out, c("id", "fct", "dbl", "chr")) expect_equal(out$fct, as.factor(c("a", "b"))) expect_equal(out$chr, c("a", "b")) expect_equal(out$dbl, c(1, 2)) })