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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/all-equal.r
\name{all_equal}
\alias{all_equal}
\title{Flexible equality comparison for data frames}
\usage{
all_equal(
target,
current,
ignore_col_order = TRUE,
ignore_row_order = TRUE,
convert = FALSE,
...
)
}
\arguments{
\item{target, current}{Two data frames to compare.}
\item{ignore_col_order}{Should order of columns be ignored?}
\item{ignore_row_order}{Should order of rows be ignored?}
\item{convert}{Should similar classes be converted? Currently this will
convert factor to character and integer to double.}
\item{...}{Ignored. Needed for compatibility with \code{all.equal()}.}
}
\value{
\code{TRUE} if equal, otherwise a character vector describing
the reasons why they're not equal. Use \code{\link[=isTRUE]{isTRUE()}} if using the
result in an \code{if} expression.
}
\description{
\code{all_equal()} allows you to compare data frames, optionally ignoring
row and column names. It is questioning as of dplyr 1.0.0, because it
seems to solve a problem that no longer seems that important.
}
\examples{
scramble <- function(x) x[sample(nrow(x)), sample(ncol(x))]
# By default, ordering of rows and columns ignored
all_equal(mtcars, scramble(mtcars))
# But those can be overriden if desired
all_equal(mtcars, scramble(mtcars), ignore_col_order = FALSE)
all_equal(mtcars, scramble(mtcars), ignore_row_order = FALSE)
# By default all_equal is sensitive to variable differences
df1 <- data.frame(x = "a", stringsAsFactors = FALSE)
df2 <- data.frame(x = factor("a"))
all_equal(df1, df2)
# But you can request dplyr convert similar types
all_equal(df1, df2, convert = TRUE)
}
\keyword{internal}
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