### set up test vectors num <- 3:1 char_num <- c("3", "4", "5") char_char <- c("a", "b", "d") char_mixed <- c("la", "le", "1") fac_num <- as.factor(char_num) fac_mixed <- as.factor(char_mixed) fac_char <- as.factor(char_char) vec_test <- 1:3 class(vec_test) <- "test" test_that("Default", { expect_error(asNumericIfPossible(vec_test), "Unknown input type or class. Input has to be of class numeric, factor, character or data.frame. If you have used a specific package to import data (e.g., haven) consider transforming your data to factor or character beforehand.", fixed = TRUE) }) test_that("Numeric vector", { expect_equal(asNumericIfPossible(num), num) }) test_that("Factor vector drop levels", { expect_equal(asNumericIfPossible(fac_num, maintain.factor.scores = FALSE), 1:length(fac_num)) expect_equal(asNumericIfPossible(fac_char, maintain.factor.scores = FALSE), 1:length(fac_char)) # Achtung: Factor Levels werden alphabetisch sortiert expect_equal(asNumericIfPossible(fac_mixed, maintain.factor.scores = FALSE), c(2, 3, 1)) }) test_that("Factor vector keep levels", { expect_equal(asNumericIfPossible(fac_num, maintain.factor.scores = TRUE), c(3, 4, 5)) expect_warning(asNumericIfPossible(fac_char, maintain.factor.scores = TRUE, force.string = FALSE), "Variable can not be transformed to numeric. Use force.string = TRUE to force this.") expect_equal(suppressWarnings(asNumericIfPossible(fac_char, maintain.factor.scores = TRUE, force.string = FALSE)), as.factor(c("a", "b", "d"))) expect_warning(asNumericIfPossible(fac_char, maintain.factor.scores = TRUE, force.string = TRUE), "Variable has been coerced to numeric, NAs have been induced.") expect_equal(suppressWarnings(asNumericIfPossible(fac_char, maintain.factor.scores = TRUE, force.string = TRUE)), c(NA_real_, NA_real_, NA_real_)) }) test_that("Character vector (levels always kept, maintain scores has not impact)", { expect_equal(asNumericIfPossible(char_num, maintain.factor.scores = FALSE), c(3, 4, 5)) expect_equal(asNumericIfPossible(char_num, maintain.factor.scores = TRUE), c(3, 4, 5)) expect_warning(asNumericIfPossible(char_char, maintain.factor.scores = TRUE, force.string = FALSE), "Variable can not be transformed to numeric. Use force.string = TRUE to force this.") expect_equal(suppressWarnings(asNumericIfPossible(char_char, maintain.factor.scores = TRUE, force.string = FALSE)), c("a", "b", "d")) expect_warning(asNumericIfPossible(char_char, maintain.factor.scores = TRUE, force.string = TRUE), "Variable has been coerced to numeric, NAs have been induced.") expect_equal(suppressWarnings(asNumericIfPossible(char_char, maintain.factor.scores = TRUE, force.string = TRUE)), c(NA_real_, NA_real_, NA_real_)) }) # data frames ####### df_num <- data.frame(a = num, b = fac_num, d = char_num, stringsAsFactors = F) df_char <- data.frame(a = num, b = fac_char, d = char_char, stringsAsFactors = F) test_that("Data frame vector drop factor levels", { df_num_out <- data.frame(a = c(3, 2, 1), b = 1:3, d = 3:5) df_char_out <- data.frame(a = c(3, 2, 1), b = 1:3, d = NA_real_) expect_equal(asNumericIfPossible(df_num, maintain.factor.scores = FALSE), df_num_out) expect_equal(suppressWarnings(asNumericIfPossible(df_char, maintain.factor.scores = FALSE, force.string = TRUE)), df_char_out) }) test_that("Data frame keep levels", { df_num_out <- data.frame(a = c(3, 2, 1), b = 3:5, d = 3:5) expect_equal(asNumericIfPossible(df_num, maintain.factor.scores = TRUE), df_num_out) df_char_warns <- capture_warnings(asNumericIfPossible(df_char, maintain.factor.scores = TRUE, force.string = FALSE)) expect_equal(df_char_warns[[1]], "'b' can not be transformed to numeric. Use force.string = TRUE to force this.") expect_equal(df_char_warns[[2]], "'d' can not be transformed to numeric. Use force.string = TRUE to force this.") expect_equal(suppressWarnings(asNumericIfPossible(df_char, maintain.factor.scores = TRUE, force.string = FALSE)), df_char) df_char_NAs <- df_char df_char_NAs[, 2:3] <- NA_real_ df_char_warns2 <- capture_warnings(asNumericIfPossible(df_char, maintain.factor.scores = TRUE, force.string = TRUE)) expect_equal(df_char_warns2[[1]], "'b' has been coerced to numeric, NAs have been induced.") expect_equal(df_char_warns2[[2]], "'d' has been coerced to numeric, NAs have been induced.") expect_equal(suppressWarnings(asNumericIfPossible(df_char, maintain.factor.scores = TRUE, force.string = TRUE)), df_char_NAs) }) ##### Archiv test_that("Extract original call to retrieve variable name", { expect_warning(extract_original_call(fun_name = "test", escape = "Variable"), "Original function call could not be retrieved. Variable has been inserted.") expect_equal(suppressWarnings(extract_original_call(fun_name = "test", escape = "Variable")), as.list(rep("Variable", 20))) }) # normal matrices matrix_char <- matrix(data = c(letters[1:4]), nrow=2) matrix_char2 <- matrix(data = c(1:4), nrow=2) class(matrix_char2) <- "character" matrix_num <- matrix(data = c(1:4), nrow=2) matrix_mix <- matrix(data = c(letters[1:2], 1:2), nrow=2) test_that("Matrices asnumeric defaults", { out_num <- asNumericIfPossible(matrix_num) expect_equal(out_num, matrix_num) expect_equal(colnames(out_num), colnames(matrix_num)) expect_equal(rownames(out_num), rownames(matrix_num)) out_char2 <- asNumericIfPossible(matrix_char2) expect_equal(out_char2, matrix_num) expect_equal(colnames(out_char2), colnames(matrix_char2)) expect_equal(rownames(out_char2), rownames(matrix_char2)) expect_warning(out_char <- asNumericIfPossible(matrix_char), "'Matrix' has been coerced to numeric, NAs have been induced.") expect_equal(out_char, matrix(NA_real_, nrow = 2, ncol = 2)) expect_warning(out_mix <- asNumericIfPossible(matrix_mix), "'Matrix' has been coerced to numeric, NAs have been induced.") expect_equal(out_mix, matrix(c(NA_real_, NA_real_, 1, 2), nrow = 2, ncol = 2)) }) # matrices with dimnames ###### matrix_charD <- matrix(data = c(letters[1:4]), nrow=2, dimnames= list(c("row1", "row2"), c("col1", "col2") )) matrix_char2D <- matrix(data = c(1:4), nrow=2, dimnames= list(c("row1", "row2"), c("col1", "col2") )) class(matrix_char2D) <- "character" matrix_numD <- matrix(data = c(1:4), nrow=2, dimnames= list(c("row1", "row2"), c("col1", "col2") )) matrix_mixD <- matrix(data = c(letters[1:2], 1:2), nrow=2, dimnames= list(c("row1", "row2"), c("col1", "col2") )) # not necessary to test factors, as there are no factor-matrices matrix_facD <- matrix(data = factor(letters[1:4]), nrow=2, dimnames= list(c("row1", "row2"), c("col1", "col2") )) test_that("Matrices asnumeric defaults", { out_num <- asNumericIfPossible(matrix_numD) expect_equal(out_num, matrix_numD) expect_equal(colnames(out_num), colnames(matrix_numD)) expect_equal(rownames(out_num), rownames(matrix_numD)) out_char2 <- asNumericIfPossible(matrix_char2D) expect_equal(out_char2, matrix_numD) expect_equal(colnames(out_char2), colnames(matrix_char2D)) expect_equal(rownames(out_char2), rownames(matrix_char2D)) expect_warning(out_char <- asNumericIfPossible(matrix_charD), "'Matrix' has been coerced to numeric, NAs have been induced.") expect_equal(out_char, matrix(NA_real_, nrow = 2, ncol = 2, dimnames= list(c("row1", "row2"), c("col1", "col2") ))) expect_warning(out_mix <- asNumericIfPossible(matrix_mixD), "'Matrix' has been coerced to numeric, NAs have been induced.") expect_equal(out_mix, matrix(c(NA_real_, NA_real_, 1, 2), nrow = 2, ncol = 2, dimnames= list(c("row1", "row2"), c("col1", "col2") ))) }) test_that("Matrices asnumeric other options", { expect_warning(out_char <- asNumericIfPossible(matrix_char, force.string = FALSE), "'Matrix' can not be transformed to numeric. Use force.string = TRUE to force this.") expect_equal(out_char, matrix_char) })