Nothing
#' Check that a translated data.frame has the right column names
#'
#' @param object A data.frame
#' @param cols A character vector holding the expected column names
expect_column_names <- function(object, cols) {
# 1. Capture object and label
act <- quasi_label(rlang::enquo(object), arg = "object")
# 2. Call expect()
expect_s3_class(object, "data.frame")
missing <- !cols %in% names(act$val)
expect(
all(!missing),
sprintf(
"The data.frame '%s' does not contain the following columns: %s.",
act$lab,
stringify(cols[missing])
)
)
too_much <- !names(act$val) %in% cols
expect(
all(!too_much),
sprintf(
"The data.frame '%s' contains too many columns: %s.",
act$lab,
stringify(names(act$val)[too_much])
)
)
# 3. Invisibly return the value
invisible(act$val)
}
#' Check that a factor variable has the right levels
#'
#' @param object A factor variable
#' @param vals A character vector holding the expected factor levels
expect_factor_levels <- function(object, vals) {
# 1. Capture object and label
act <- quasi_label(rlang::enquo(object), arg = "object")
# 2. Call expect()
expect(
is.factor(act$val),
sprintf("The passed in variable '%s' is not a factor variable.", act$lab)
)
expect_identical(
levels(act$val),
vals,
sprintf("The passed in variable '%s' has the wrong factor levels.", act$lab)
)
# 3. Invisibly return the value
invisible(act$val)
}
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