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Safe and intuitive functions to rename variables or rows in
data frames. data_rename()
will rename column names, i.e. it facilitates
renaming variables data_addprefix()
or data_addsuffix()
add prefixes
or suffixes to column names. data_rename_rows()
is a convenient shortcut
to add or rename row names of a data frame, but unlike row.names()
, its
input and output is a data frame, thus, integrating smoothly into a possible
pipe-workflow.
data_addprefix(
data,
pattern,
select = NULL,
exclude = NULL,
ignore_case = FALSE,
...
)data_addsuffix(
data,
pattern,
select = NULL,
exclude = NULL,
ignore_case = FALSE,
...
)
data_rename(data, pattern = NULL, replacement = NULL, safe = TRUE, ...)
data_rename_rows(data, rows = NULL)
A data frame, or an object that can be coerced to a data frame.
Character vector. For data_rename()
, indicates columns that
should be selected for renaming. Can be NULL
(in which case all columns
are selected). For data_addprefix()
or data_addsuffix()
, a character
string, which will be added as prefix or suffix to the column names.
Variables that will be included when performing the required tasks. Can be either
a variable specified as a literal variable name (e.g., column_name
),
a string with the variable name (e.g., "column_name"
), or a character
vector of variable names (e.g., c("col1", "col2", "col3")
),
a formula with variable names (e.g., ~column_1 + column_2
),
a vector of positive integers, giving the positions counting from the left
(e.g. 1
or c(1, 3, 5)
),
a vector of negative integers, giving the positions counting from the
right (e.g., -1
or -1:-3
),
or one of the following select-helpers: starts_with("")
, ends_with("")
,
contains("")
, a range using :
or regex("")
.
If NULL
, selects all columns.
See select
, however, column names matched by the pattern
from exclude
will be excluded instead of selected. If NULL
(the default),
excludes no columns.
Logical, if TRUE
and when one of the select-helpers or
a regular expression is used in select
, ignores lower/upper case in the
search pattern when matching against variable names.
Other arguments passed to or from other functions.
Character vector. Indicates the new name of the columns
selected in pattern
. Can be NULL
(in which case column are numbered
in sequential order). If not NULL
, pattern
and replacement
must be
of the same length.
Do not throw error if for instance the variable to be renamed/removed doesn't exist.
Vector of row names.
A modified data frame.
Functions to rename stuff: data_rename()
, data_rename_rows()
, data_addprefix()
, data_addsuffix()
Functions to reorder or remove columns: data_reorder()
, data_relocate()
, data_remove()
Functions to reshape, pivot or rotate dataframes: data_to_long()
, data_to_wide()
, data_rotate()
Functions to rescale and reverse: data_rescale()
, data_reverse()
Functions to standardize, normalize, rank-transform: standardize()
, normalize()
, ranktransform()
, winsorize()
Split, cut and merge dataframes: data_partition()
, data_cut()
, data_merge()
Functions to find or select columns: find_columns()
Functions to filter rows: data_match()
, data_filter()
# NOT RUN {
# 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, paste0("Var", 1:5)))
# }
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