withr::local_options(joyn.verbose = FALSE) library(data.table) |> suppressWarnings() # Load DATA -------------------------------------------------------------------- # options(joyn.verbose = FALSE) x1 = data.table(id = c(1L, 1L, 2L, 3L, NA_integer_), t = c(1L, 2L, 1L, 2L, NA_integer_), x = 11:15) y1 = data.table(id = c(1,2, 4), y = c(11L, 15L, 16)) x2 = data.table(id = c(1, 4, 2, 3, NA), t = c(1L, 2L, 1L, 2L, NA_integer_), x = c(16, 12, NA, NA, 15)) y2 = data.table(id = c(1, 2, 5, 6, 3), yd = c(1, 2, 5, 6, 3), y = c(11L, 15L, 20L, 13L, 10L), x = c(16:20)) y3 <- data.table(id = c("c","b", "c", "a"), y = c(11L, 15L, 18L, 20L)) x3 <- data.table(id = c("c","b", "d"), v = 8:10, foo = c(4,2, 7)) x4 = data.table(id1 = c(1, 1, 2, 3, 3), id2 = c(1, 1, 2, 3, 4), t = c(1L, 2L, 1L, 2L, NA_integer_), x = c(16, 12, NA, NA, 15)) y4 = data.table(id = c(1, 2, 5, 6, 3), id2 = c(1, 1, 2, 3, 4), y = c(11L, 15L, 20L, 13L, 10L), x = c(16:20)) x5 = data.table(id = c(1L, 1L, 2L, 3L, NA_integer_, NA_integer_), t = c(1L, 2L, 1L, 2L, NA_integer_, 4L), x = 11:16) y5 = data.table(id = c(1,2, 4, NA_integer_, NA_integer_), y = c(11L, 15L, 16, 17L, 18L)) x6 <- data.frame( id = c(1, 4, 2, 3, NA), t = c(1L, 2L, 1L, 2L, NA), country = c(16, 12, 3, NA, 15) ) y6 <- data.frame( id = c(1, 2, 5, 6, 3), gdp = c(11L, 15L, 20L, 13L, 10L), country = 16:20 ) reportvar = getOption("joyn.reportvar") # Warnings and errors --------------- test_that("warnings are triggered correctly", { skip("warning of cartesian is not working well yet - found in `joyn()` due to deprecated arg") merge( x = x1, y = y1, match_type = "m:1", allow.cartesian = TRUE, by = "id" ) |> expect_warning() }) test_that("errors are triggered correctly", { merge( # x = x1, y = y1, match_type = "m:1", by = "id" ) |> expect_error(label = "") merge( x = x1, y = y1, match_type = "1:1", all.x = TRUE, by = "id", reportvar = FALSE ) |> expect_error(label = "merge did not detect inconsistency in match type 1:1") merge( x = x2, y = y2, by = "id", match_type = "m:m", all.y = TRUE, reportvar = FALSE ) }) # TEST LEFT JOINS -------------------------------------------------------------- test_that("LEFT JOIN - Conducts left join", { # m:1 ----------- # One way jn_joyn <- merge( x = x1, y = y1, match_type = "m:1", all.x = TRUE, by = "id" ) jn_dt <- merge.data.table(x = x1, y = y1, all.x = TRUE, by = "id") expect_equal( jn_joyn |> fselect(-get(reportvar)), jn_dt ) expect_equal( merge( x = x1, y = y1, match_type = "m:1", all.x = TRUE, by = "id", reportvar = FALSE ), jn_dt ) # 1:1 ---------------------- jn_joyn <- merge( x = x2, y = y2, match_type = "1:1", all.x = TRUE, by = "id" ) jn_dt <- merge.data.table( x = x2, y = y2, all.x = TRUE, by = "id" ) expect_equal( jn_joyn |> fselect(-get(reportvar)), # `reportvar` should be `.joyn` in principle jn_dt ) # m:m ---------------------- jn <- merge( x4, y4, match_type = "m:m", all.x = TRUE, by.x = "id1", by.y = "id2" ) jn_dt <- merge.data.table( x4, y4, # match_type = "m:m", all.x = TRUE, by.x = "id1", by.y = "id2" ) expect_equal( jn |> fselect(-get(reportvar)), jn_dt ) }) # TEST RIGHT JOINS ------------------------------------------------------ test_that("RIGHT JOIN - Conducts right join", { # One way jn_joyn <- merge( x = x1, y = y1, match_type = "m:1", all.y = TRUE, by = "id" ) jn_dt <- merge.data.table( x = x1, y = y1, all.y = TRUE, by = "id" ) expect_equal( jn_joyn |> fselect(-get(reportvar)), jn_dt ) # Second set of tables ---------------------- jn_joyn <- merge( x = x2, y = y2, match_type = "1:1", by = "id", all.y = TRUE ) jn_dt <- merge.data.table( x2, y2, by = "id", all.y = TRUE ) expect_equal( jn_joyn |> fselect(-get(reportvar)), jn_dt ) expect_equal( merge( x = x2, y = y2, # match_type = "1:1", by = "id", all.y = TRUE, reportvar = FALSE ), jn_dt ) jn <- merge( x4, y4, by.x = "id1", by.y = "id2", match_type = "m:m", all.y = TRUE ) jn_dt <- merge.data.table( x4, y4, by.x = "id1", by.y = "id2", all.y = TRUE ) expect_equal( jn |> fselect(-get(reportvar)), jn_dt ) }) # TEST FULL JOINS ------------------------------------------------------------- test_that("FULL JOIN - Conducts full join", { # One way jn_joyn <- merge( x = x1, y = y1, match_type = "m:1", by = "id", all = TRUE ) jn_dt <- merge.data.table( x1, y1, by = "id", all = TRUE ) expect_equal( jn_joyn |> fselect(-get(reportvar)), jn_dt ) expect_true( all(c("x", "y", "x & y") %in% jn_joyn$.joyn) ) expect_true( all( c(jn_joyn$id) %in% c(y1$id, x2$id) ) ) # Second set of tables ---------------------- jn_joyn <- merge( x = x2, y = y2, match_type = "1:1", by = "id", all = TRUE ) jn_dt <- merge.data.table( x2, y2, by = "id", all = TRUE ) expect_equal( jn_joyn |> fselect(-get(reportvar)), jn_dt ) jn <- merge( x4, y4, by.x = "id1", by.y = "id2", match_type = "m:m", all = TRUE ) #merge.data.table(x4, y4, by = dplyr::join_by(id1 == id2), match_type = "m:m") jn_dt <- merge.data.table( x4, y4, by.x = "id1", by.y = "id2", all = TRUE ) expect_equal( jn |> fselect(-get(reportvar)), jn_dt ) }) test_that("FULL JOIN - no id given", { jn1 <- merge( x2, y2, all = TRUE ) jn2 <- merge( x2, y2, by = c("id", "x"), all = TRUE ) expect_equal(jn1, jn2) }) test_that("FULL JOIN - incorrectly specified arguments give errors", { expect_error( merge( x = x1, y = y1, match_type = "m:1", suffix = NULL ) ) expect_error( merge( x = x1, y = y1, match_type = "m:1", suffix = c("a", "b", "c") ) ) expect_error( merge( x = y1, y = x1, match_type = "1:m", multiple = "any" ) ) expect_error( merge( x = x1, y = y1, match_type = "m:1", unmatched = "error" ) ) }) test_that("FULL JOIN - argument `keep_common_vars` preserves keys in output", { jn <- merge( x = x6, y = y6, match_type = "m:1", keep_common_vars = TRUE, by = "id", all = TRUE ) expect_true( "country.y" %in% names(jn) ) expect_equal( jn |> fselect(id) |> na.omit() |> unique() |> reg_elem() |> sort(), union(x6$id, y6$id) |> na.omit() |> unique() |> sort() ) }) test_that("FULL JOIN - update values works", { x2a <- x2 x2a$x <- 1:5 jn <- merge( x = x2a, y = y2, match_type = "1:1", update_values = TRUE, by = "id" ) vupdated <- jn |> fsubset(get(reportvar) == "value updated") |> fselect(x.x) |> reg_elem() expect_true( all(vupdated %in% y2$x) ) expect_equal( jn |> fsubset(get(reportvar) == "value updated") |> fnrow(), x2 |> fsubset(id %in% y2$id) |> fnrow() ) }) test_that("FULL JOIN - reportvar works", { jn <- merge( x1, y1, match_type = "m:1", by = "id", reportvar = "report" ) expect_true( "report" %in% names(jn) ) }) test_that("FULL JOIN - NA matches", { jn <- merge( x5, y5, match_type = "m:m" ) expect_equal( jn |> fsubset(is.na(id)) |> fnrow(), 4 ) }) # TEST INNER JOINS ------------------------------------------------------------- test_that("INNER JOIN - Conducts inner join", { # One way jn_joyn <- merge( x = x1, y = y1, match_type = "m:1", by = "id" ) jn_dt <- merge.data.table( x1, y1, by = "id" ) expect_equal( jn_joyn |> fselect(-get(reportvar)), jn_dt ) expect_true( all(c("x & y") %in% jn_joyn$.joyn) ) c(jn_joyn$id) %in% intersect(y1$id, x1$id) |> all() |> expect_true() jn_joyn <- merge( x = x2, y = y2, match_type = "1:1", by = "id" ) jn_dt <- merge.data.table( x2, y2, by = "id" ) expect_equal( jn_joyn |> fselect(-get(reportvar)), jn_dt ) jn <- merge( x4, y4, by.x = "id1", by.y = "id2", match_type = "m:m" ) #merge.data.table(x4, y4, by = dplyr::join_by(id1 == id2), match_type = "m:m") jn_dt <- merge.data.table( x4, y4, by.x = "id1", by.y = "id2" ) expect_equal( jn |> fselect(-get(reportvar)), jn_dt ) }) test_that("INNER JOIN - no id given", { jn1 <- merge( x2, y2 ) jn2 <- merge( x2, y2, by = c("id", "x") ) expect_equal(jn1, jn2) }) test_that("INNER JOIN - incorrectly specified arguments give errors", { merge( x4, y4, by.x = "id1", by.y = "id2", match_type = "m:m" , suffixes = NULL ) |> expect_error( ) merge( x4, y4, by.x = "id1", by.y = "id2", match_type = "m:m", suffix = c("a", "b", "c")) |> expect_error() merge( x = y1, y = x1, match_type = "1:m", multiple = "any" ) |> expect_error() }) test_that("INNER JOIN - argument `keep_common_vars` preserves keys in output", { jn <- merge( x = x6, y = y6, match_type = "m:1", keep_common_vars = TRUE, by = "id" ) expect_true( "country.y" %in% names(jn) ) expect_equal( jn |> fselect(id) |> na.omit() |> unique() |> reg_elem(), y6 |> fsubset(id %in% x6$id) |> fselect(id) |> unique() |> reg_elem() ) }) test_that("INNER JOIN - update values works", { x2a <- x2 x2a$x <- 1:5 jn <- merge( x = x2a, y = y2, match_type = "1:1", update_values = TRUE, by = "id" ) vupdated <- jn |> fsubset(get(reportvar) == "value updated") |> fselect(x.x) |> reg_elem() expect_true( all(vupdated %in% y2$x) ) expect_equal( jn |> fsubset(get(reportvar) == "value updated") |> fnrow(), x2 |> fsubset(id %in% y2$id) |> fnrow() ) }) test_that("INNER JOIN - reportvar works", { jn <- merge( x1, y1, match_type = "m:1", by = "id", reportvar = "report" ) expect_true( "report" %in% names(jn) ) }) test_that("INNER JOIN - NA matches", { jn <- merge( x5, y5, match_type = "m:m" ) expect_equal( jn |> fsubset(is.na(id)) |> fnrow(), 4 ) }) # Test check logical - (RT) check if needed # Testing check_dt_by function #### # Checking errors test_that("check_dt_by aborts as expected", { y7 = data.table(id = c(1, 2, 5, 6, 3, 9), id2 = c(1, 1, 2, 3, 4, 8), y = c(11L, 15L, 20L, 13L, 10L, 12L), x = c(16:21)) y8 = data.table(id = c(1, 2, 5, 6, 3, 9), id2 = NULL, y = c(11L, 15L, 20L, 13L, 10L, 12L), x = c(16:21)) check_dt_by(x4, y8, by.x = "id1", by.y = "id2") |> expect_error() check_dt_by(x4, y4, by.x = "id", by.y = "id2") |> expect_error() check_dt_by(x4, y4, by.x = "id1", by.y = "id1") |> expect_error() # Checking msg is stored when both by and by.x/by.y are supplied clear_joynenv() check_dt_by(x4, y4, by.x = "id1", by.y = "id", by = "id2") expect_true(rlang::env_has(.joynenv, "joyn_msgs")) }) # Checking outputs test_that("check_dt_by output", { check_dt_by(x4, y4, by.x = "id1", by.y = "id2") |> expect_equal("id1 = id2") check_dt_by(x4, y4, by.x = 2, by.y = 3) |> expect_error() check_dt_by(x4, y4, by = "t") |> expect_error() })