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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data_addprefix.R, R/data_rename.R
\name{data_addprefix}
\alias{data_addprefix}
\alias{data_addsuffix}
\alias{data_rename}
\alias{data_rename_rows}
\title{Rename columns and variable names}
\usage{
data_addprefix(
data,
pattern,
select = NULL,
exclude = NULL,
ignore_case = FALSE,
regex = FALSE,
verbose = TRUE,
...
)
data_addsuffix(
data,
pattern,
select = NULL,
exclude = NULL,
ignore_case = FALSE,
regex = FALSE,
verbose = TRUE,
...
)
data_rename(data, pattern = NULL, replacement = NULL, safe = TRUE, ...)
data_rename_rows(data, rows = NULL)
}
\arguments{
\item{data}{A data frame, or an object that can be coerced to a data frame.}
\item{pattern}{Character vector. For \code{data_rename()}, indicates columns that
should be selected for renaming. Can be \code{NULL} (in which case all columns
are selected). For \code{data_addprefix()} or \code{data_addsuffix()}, a character
string, which will be added as prefix or suffix to the column names.}
\item{select}{Variables that will be included when performing the required
tasks. Can be either
\itemize{
\item a variable specified as a literal variable name (e.g., \code{column_name}),
\item a string with the variable name (e.g., \code{"column_name"}), or a character
vector of variable names (e.g., \code{c("col1", "col2", "col3")}),
\item a formula with variable names (e.g., \code{~column_1 + column_2}),
\item a vector of positive integers, giving the positions counting from the left
(e.g. \code{1} or \code{c(1, 3, 5)}),
\item a vector of negative integers, giving the positions counting from the
right (e.g., \code{-1} or \code{-1:-3}),
\item one of the following select-helpers: \code{starts_with()}, \code{ends_with()},
\code{contains()}, a range using \code{:} or \code{regex("")}. \code{starts_with()},
\code{ends_with()}, and \code{contains()} accept several patterns, e.g
\code{starts_with("Sep", "Petal")}.
\item or a function testing for logical conditions, e.g. \code{is.numeric()} (or
\code{is.numeric}), or any user-defined function that selects the variables
for which the function returns \code{TRUE} (like: \code{foo <- function(x) mean(x) > 3}),
\item ranges specified via literal variable names, select-helpers (except
\code{regex()}) and (user-defined) functions can be negated, i.e. return
non-matching elements, when prefixed with a \code{-}, e.g. \code{-ends_with("")},
\code{-is.numeric} or \code{-Sepal.Width:Petal.Length}. \strong{Note:} Negation means
that matches are \emph{excluded}, and thus, the \code{exclude} argument can be
used alternatively. For instance, \code{select=-ends_with("Length")} (with
\code{-}) is equivalent to \code{exclude=ends_with("Length")} (no \code{-}). In case
negation should not work as expected, use the \code{exclude} argument instead.
}
If \code{NULL}, selects all columns. Patterns that found no matches are silently
ignored, e.g. \code{find_columns(iris, select = c("Species", "Test"))} will just
return \code{"Species"}.}
\item{exclude}{See \code{select}, however, column names matched by the pattern
from \code{exclude} will be excluded instead of selected. If \code{NULL} (the default),
excludes no columns.}
\item{ignore_case}{Logical, if \code{TRUE} and when one of the select-helpers or
a regular expression is used in \code{select}, ignores lower/upper case in the
search pattern when matching against variable names.}
\item{regex}{Logical, if \code{TRUE}, the search pattern from \code{select} will be
treated as regular expression. When \code{regex = TRUE}, select \emph{must} be a
character string (or a variable containing a character string) and is not
allowed to be one of the supported select-helpers or a character vector
of length > 1. \code{regex = TRUE} is comparable to using one of the two
select-helpers, \code{select = contains("")} or \code{select = regex("")}, however,
since the select-helpers may not work when called from inside other
functions (see 'Details'), this argument may be used as workaround.}
\item{verbose}{Toggle warnings.}
\item{...}{Other arguments passed to or from other functions.}
\item{replacement}{Character vector. Indicates the new name of the columns
selected in \code{pattern}. Can be \code{NULL} (in which case column are numbered
in sequential order). If not \code{NULL}, \code{pattern} and \code{replacement} must be
of the same length.}
\item{safe}{Do not throw error if for instance the variable to be
renamed/removed doesn't exist.}
\item{rows}{Vector of row names.}
}
\value{
A modified data frame.
}
\description{
Safe and intuitive functions to rename variables or rows in
data frames. \code{data_rename()} will rename column names, i.e. it facilitates
renaming variables \code{data_addprefix()} or \code{data_addsuffix()} add prefixes
or suffixes to column names. \code{data_rename_rows()} is a convenient shortcut
to add or rename row names of a data frame, but unlike \code{row.names()}, its
input and output is a data frame, thus, integrating smoothly into a possible
pipe-workflow.
}
\examples{
# Add prefix / suffix to all columns
head(data_addprefix(iris, "NEW_"))
head(data_addsuffix(iris, "_OLD"))
# Rename columns
head(data_rename(iris, "Sepal.Length", "length"))
# data_rename(iris, "FakeCol", "length", safe=FALSE) # This fails
head(data_rename(iris, "FakeCol", "length")) # This doesn't
head(data_rename(iris, c("Sepal.Length", "Sepal.Width"), c("length", "width")))
# Reset names
head(data_rename(iris, NULL))
# Change all
head(data_rename(iris, replacement = paste0("Var", 1:5)))
}
\seealso{
\itemize{
\item Functions to rename stuff: \code{\link[=data_rename]{data_rename()}}, \code{\link[=data_rename_rows]{data_rename_rows()}}, \code{\link[=data_addprefix]{data_addprefix()}}, \code{\link[=data_addsuffix]{data_addsuffix()}}
\item Functions to reorder or remove columns: \code{\link[=data_reorder]{data_reorder()}}, \code{\link[=data_relocate]{data_relocate()}}, \code{\link[=data_remove]{data_remove()}}
\item Functions to reshape, pivot or rotate data frames: \code{\link[=data_to_long]{data_to_long()}}, \code{\link[=data_to_wide]{data_to_wide()}}, \code{\link[=data_rotate]{data_rotate()}}
\item Functions to recode data: \code{\link[=rescale]{rescale()}}, \code{\link[=reverse]{reverse()}}, \code{\link[=categorize]{categorize()}}, \code{\link[=recode_values]{recode_values()}}, \code{\link[=slide]{slide()}}
\item Functions to standardize, normalize, rank-transform: \code{\link[=center]{center()}}, \code{\link[=standardize]{standardize()}}, \code{\link[=normalize]{normalize()}}, \code{\link[=ranktransform]{ranktransform()}}, \code{\link[=winsorize]{winsorize()}}
\item Split and merge data frames: \code{\link[=data_partition]{data_partition()}}, \code{\link[=data_merge]{data_merge()}}
\item Functions to find or select columns: \code{\link[=data_select]{data_select()}}, \code{\link[=data_find]{data_find()}}
\item Functions to filter rows: \code{\link[=data_match]{data_match()}}, \code{\link[=data_filter]{data_filter()}}
}
}
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