all_equal {tibble} | R Documentation |
When comparing two tbl_df
using all.equal
, column and
row order is ignored by default, and types are not coerced. The dplyr
package provides a much more efficient implementation for this functionality.
all_equal(target, current, ignore_col_order = TRUE, ignore_row_order = TRUE, convert = FALSE, ...) ## S3 method for class 'tbl_df' all.equal(target, current, ignore_col_order = TRUE, ignore_row_order = TRUE, convert = FALSE, ...)
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 |
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.
scramble <- function(x) x[sample(nrow(x)), sample(ncol(x))] mtcars_df <- as_tibble(mtcars) # By default, ordering of rows and columns ignored all.equal(mtcars_df, scramble(mtcars_df)) # But those can be overriden if desired all.equal(mtcars_df, scramble(mtcars_df), ignore_col_order = FALSE) all.equal(mtcars_df, scramble(mtcars_df), ignore_row_order = FALSE) # By default all.equal is sensitive to variable differences df1 <- tibble(x = "a") df2 <- tibble(x = factor("a")) all.equal(df1, df2) # But you can request to convert similar types all.equal(df1, df2, convert = TRUE)