library(palmerpenguins)
test_that("Input df should have the type as a data frame", {
wrong_type_input <- 9
expect_error(corr_map(wrong_type_input, c("column")),
"Expecting a data frame for df parameter in corr_map")
})
test_that("Columns should have the type as a character vector", {
expect_error(corr_map(penguins, penguins),
"Expecting a character vector for columns parameter in corr_map")
expect_error(corr_map(penguins, as.numeric(1)),
"Expecting a character vector for columns parameter in corr_map")
})
test_that("Given columns should exist in the data frame df", {
expect_error(corr_map(penguins, c("wrong_col_name")),
"Column: wrong_col_name does not exist in the given df")
})
test_that("Given columns does not include any numeric column", {
expect_error(corr_map(penguins, c("sex")),
"None of the columns is numeric")
})
test_that("corr_map() returns plot with one single numeric column", {
corr_plot <- corr_map(penguins, c("body_mass_g"))
expect_true("GeomTile" %in% c(class(corr_plot$layers[[1]]$geom)))
expect_equal(corr_plot$data$rowname, "body_mass_g")
expect_equal(corr_plot$data$value, 1)
})
test_that("corr_map() returns map with multiple columns", {
corr_plot <- corr_map(penguins,
c("body_mass_g", "sex", "bill_length_mm"))
expect_true("GeomTile" %in% c(class(corr_plot$layers[[1]]$geom)))
expect_true(!("sex" %in% corr_plot$data$rowname))
expect_true("body_mass_g" %in% corr_plot$data$rowname)
expect_true("bill_length_mm" %in% corr_plot$data$rowname)
})
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