Flexible equality comparison for data frames

Source: R/all-equal.R

[Deprecated]

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().

Value

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)
#> Warning: `all_equal()` was deprecated in dplyr 1.1.0.
#> ℹ Please use `all.equal()` instead.
#> ℹ And manually order the rows/cols as needed
#> [1] TRUE

# Instead, be explicit about the row and column ordering
all.equal(
  mtcars,
  mtcars2[rownames(mtcars), names(mtcars)]
)
#> [1] TRUE