keep.relevant.variables: Keep relevant variables

In itslwg/SupaLarna: Package for the SuperLearner vs clincians study

Description

This function takes as only input the study data data frame and keeps only those variables that are relevant to the study

Usage

keep.relevant.variables(study_data, data_dictionary = NULL,
  variables_to_keep = NULL, variables_to_drop = NULL)

Arguments

study_data	The study data as a data frame. No default
data_dictionary	The data dictionary. Defaults to NULL. If provided, variables_to_keep will be defined as unlist(lapply(data_dictionary, function(x) if(x$c == "No") x$vn))
variables_to_keep	Character vector of variables to keep. Defaults to NULL. Ignored if data_dictionary is not NULL.
variables_to_drop	Character vector of variables to drop. Defaults to NULL. Currently ignored.

itslwg/SupaLarna documentation built on Aug. 2, 2020, 1 a.m.