remove_latent: Remove subjects with too much missing data on a given latent...

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

Remove subjects with too much missing data on a given latent construct

Description

This function will remove subjects based on amount of missing data per latent construct

Usage

remove_latent(
  x,
  factor.list,
  missing.allowed,
  id,
  output.dir = NULL,
  output.file = NULL
)

Arguments

x	dataframe
factor.list	list of factors and tasks. ex. 'list(WMC = c("OSpan", "RotSpan", SymSpan"), Gf = c("RAPM", "NumberSeries", "LetterSets"))'
missing.allowed	Proportion of tasks allowed to be missing
id	Subject ID variable
output.dir	File directory to save removed subjects to
output.file	File name to save removed subjects to

Examples

# Example

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