all_equal: Flexible equality comparison for data frames.

In Robertus100/tibble: Simple Data Frames

Description

When comparing two tbl_df using all.equal(), column and row order is ignored by default, and types are not coerced. The dplyr package is necessary to use this function.

Usage

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

## S3 method for class 'tbl_df'
all.equal(target, current, ...)

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))]
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)

Robertus100/tibble documentation built on May 9, 2019, 10:09 a.m.