all_equal function

Flexible equality comparison for data frames

all_equal() allows you to compare data frames, optionally ignoring row and column names. It is deprecated as of dplyr 1.1.0, because it makes it too easy to ignore important differences.

all_equal(
  target,
  current,
  ignore_col_order = TRUE,
  ignore_row_order = TRUE,
  convert = FALSE,
  ...
)

Arguments

• target, current: Two data frames to compare.
• ignore_col_order: Should order of columns be ignored?
• ignore_row_order: Should order of rows be ignored?
• convert: Should similar classes be converted? Currently this will convert factor to character and integer to double.
• ...: Ignored. Needed for compatibility with all.equal().

Returns

TRUE if equal, otherwise a character vector describing the reasons why they're not equal. Use isTRUE() if using the result in an if expression.

Examples

scramble <- function(x) x[sample(nrow(x)), sample(ncol(x))]

# `all_equal()` ignored row and column ordering by default,
# but we now feel that that makes it too easy to make mistakes
mtcars2 <- scramble(mtcars)
all_equal(mtcars, mtcars2)

# Instead, be explicit about the row and column ordering
all.equal(
  mtcars,
  mtcars2[rownames(mtcars), names(mtcars)]
)