pivot_longer: Pivot data from wide to long

In tidytable: Tidy Interface to 'data.table'

Pivot data from wide to long

Description

pivot_longer() "lengthens" the data, increasing the number of rows and decreasing the number of columns.

Usage

pivot_longer(
  .df,
  cols = everything(),
  names_to = "name",
  values_to = "value",
  names_prefix = NULL,
  names_sep = NULL,
  names_pattern = NULL,
  names_ptypes = NULL,
  names_transform = NULL,
  names_repair = "check_unique",
  values_drop_na = FALSE,
  values_ptypes = NULL,
  values_transform = NULL,
  fast_pivot = FALSE,
  ...
)

Arguments

.df	A data.table or data.frame
cols	Columns to pivot. tidyselect compatible.
names_to	Name of the new "names" column. Must be a string.
values_to	Name of the new "values" column. Must be a string.
names_prefix	Remove matching text from the start of selected columns using regex.
names_sep	If names_to contains multiple values, names_sep takes the same specification as separate().
names_pattern	If names_to contains multiple values, names_pattern takes the same specification as extract(), a regular expression containing matching groups.
names_ptypes, values_ptypes	A list of column name-prototype pairs. See “?vctrs::'theory-faq-coercion“' for more info on vctrs coercion.
names_transform, values_transform	A list of column name-function pairs. Use these arguments if you need to change the types of specific columns.
names_repair	Treatment of duplicate names. See ?vctrs::vec_as_names for options/details.
values_drop_na	If TRUE, rows will be dropped that contain NAs.
fast_pivot	experimental: Fast pivoting. If TRUE, the names_to column will be returned as a factor, otherwise it will be a character column. Defaults to FALSE to match tidyverse semantics.
...	Additional arguments to passed on to methods.

Examples

df <- data.table(
  x = 1:3,
  y = 4:6,
  z = c("a", "b", "c")
)

df %>%
  pivot_longer(cols = c(x, y))

df %>%
  pivot_longer(cols = -z, names_to = "stuff", values_to = "things")

tidytable documentation built on Sept. 11, 2024, 8:05 p.m.