reshape_spread: Reshape dataframe from long to wide

In dr-JT/datawrangling: Common functions for transforming, merging, binding, evaluating, and re-organizing dataframes

Reshape dataframe from long to wide

Description

This function is an extension of the 'tidyr::spread()' function It can 'tidyr::spread()' on multiple keys and values.

Usage

reshape_spread(
  x,
  variables = "",
  values = c(),
  id = "",
  colname.order = "variable_value",
  variables_combine.sep = "_",
  fill = NA
)

Arguments

x	dataframe
variables	The variable used for spreading (The variables/conditions that values are grouped within)
values	A vector of columns that contain the values
id	What column is not being reorganized and needs to be preserved. Usually "Subject"
colname.order	The variable/value order to use when naming new columns. "variable_value" or "value_variable"
variables_combine.sep	if using more than one variables column then specifiy how values should be seperated when combined
fill	Passed to spread() fill parameter

dr-JT/datawrangling documentation built on June 25, 2022, 7:47 p.m.