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.
Usage
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