trans_wide_to_tidy: Pivot wide-shaped into tidy

In gcplyr: Wrangle and Analyze Growth Curve Data

Pivot wide-shaped into tidy

Description

Essentially a wrapper for pivot_longer that works on both a single wide-shaped dataframe as well as a list of wide-shaped dataframe's

Usage

trans_wide_to_tidy(
  wides,
  data_cols = NA,
  id_cols = NA,
  names_to = "Well",
  values_to = "Measurements",
  values_to_numeric = TRUE,
  ...
)

Arguments

wides	A single wide-shaped dataframe, or a list of wide-shaped dataframe's
data_cols, id_cols	Specifies which columns have data vs are ID's (in pivot_longer parlance). Each can be a single vector (which will be applied for all dataframes) or a list of vectors, with each vector corresponding to the same-index dataframe in wides Entries that are NA in the list will not be used If neither data_cols nor id_cols are specified, user must provide arguments to pivot_longer via ... for at least the cols argument and these arguments provided via ... will be used for all wides dataframe's
names_to, values_to	Specifies the output column names created by pivot_longer. Each can be provided as vectors the same length as wides
values_to_numeric	logical indicating whether values will be coerced to numeric. See below for when this may be overridden by arguments passed in ...
...	Other arguments to be passed to pivot_longer Note that including values_transform here will override the behavior of values_to_numeric

Value

Pivoted longer dataframe (if wides is a single dataframe) or list of pivoted longer dataframes (if wides is a list of dataframes)

gcplyr documentation built on Aug. 8, 2025, 6:19 p.m.