tidyfast (version 0.2.1)

dt_pivot_longer: Pivot data from wide to long

Description

dt_pivot_wider() "widens" data, increasing the number of columns and decreasing the number of rows. The inverse transformation is dt_pivot_longer(). Syntax based on the tidyr equivalents.

Usage

dt_pivot_longer(
  dt_,
  cols = NULL,
  names_to = "name",
  values_to = "value",
  values_drop_na = FALSE,
  ...
)

Arguments

dt_

The data table to pivot longer

cols

Column selection. If empty, uses all columns. Can use -colname to unselect column(s)

names_to

Name of the new "names" column. Must be a string.

values_to

Name of the new "values" column. Must be a string.

values_drop_na

If TRUE, rows will be dropped that contain NAs.

...

Additional arguments to pass to `melt.data.table()`

Value

A reshaped data.table into longer format

Examples

# NOT RUN {
library(data.table)
example_dt <- data.table(x = c(1,2,3), y = c(4,5,6), z = c("a", "b", "c"))

dt_pivot_longer(example_dt,
                cols = c(x, y),
                names_to = "stuff",
                values_to = "things")

dt_pivot_longer(example_dt,
                cols = -z,
                names_to = "stuff",
                values_to = "things")

# }