R: Transpose Data

reshapeTranspose

R Documentation

Transpose Data

Description

Transpose data via transpose. All predictors, responses, groups, and auxiliaries are transpose.

Usage

reshapeTranspose(
  dataset = cs.in.dataset(),
  groups = cs.in.groupvars(),
  scriptvars = cs.in.scriptvars(),
  return.results = FALSE,
  ...
)

Arguments

`dataset`	[`data.frame`] Dataset with named columns. The names correspond to predictors and responses.
`groups`	[`character`] Character vector of group variables.
`scriptvars`	[`list`] Named list of script variables set via the Cornerstone "Script Variables" menu. For details see below.
`return.results`	[`logical(1)`] If `FALSE` the function returns `TRUE` invisibly. If `TRUE`, it returns a `list` of results. Default is `FALSE`.
`...`	[ANY] Additional arguments to be passed to `transpose` . Please consider possible script variables (`scriptvars`) to prevent duplicates.

Details

One script variables is summarized in scriptvars list:

split: [character(1)]
Split character to split response names into multiple columns. Default is “_”.

Value

Logical [TRUE] invisibly and outputs to Cornerstone or, if return.results = TRUE, list of resulting data.frame object:

reshapeTranspose

Dataset with transposed data.

Examples

# Data to transform:
library(data.table)
dtTest = data.table(i_1 = c(1:4, NA, 5), i_2 = c(51, 61, NA , 71, 81, 91))
# Reshape to long format:
reshapeTranspose(dtTest, groups = character(0), list(convert.numeric = TRUE), return.results = TRUE)