longer: Pivot data from wide to long

In tidyfst: Tidy Verbs for Fast Data Manipulation

Pivot data from wide to long

Description

Turning a wide table to its longer form. It takes multiple columns and collapses into key-value pairs.

Usage

longer_dt(.data, ..., name = "name", value = "value", na.rm = FALSE)

Arguments

.data	A data.frame
...	Pattern for unchanged group or unquoted names. Pattern can accept regular expression to match column names. It can recieve what select_dt recieves.
name	Name for the measured variable names column. The default name is 'name'.
value	Name for the molten data values column(s). The default name is 'value'.
na.rm	If TRUE, NA values will be removed from the molten data.

Value

A data.table

See Also

wider_dt, melt, pivot_longer

Examples

## Example 1:
stocks = data.frame(
  time = as.Date('2009-01-01') + 0:9,
  X = rnorm(10, 0, 1),
  Y = rnorm(10, 0, 2),
  Z = rnorm(10, 0, 4)
)

stocks

stocks %>%
  longer_dt(time)

stocks %>%
  longer_dt("ti")

# Example 2:


  library(tidyr)

  billboard %>%
    longer_dt(
      -"wk",
      name = "week",
      value = "rank",
      na.rm = TRUE
    )

  # or use:
  billboard %>%
    longer_dt(
      artist,track,date.entered,
      name = "week",
      value = "rank",
      na.rm = TRUE
    )

  # or use:
  billboard %>%
    longer_dt(
      1:3,
      name = "week",
      value = "rank",
      na.rm = TRUE
    )

tidyfst documentation built on July 26, 2023, 5:20 p.m.