rd_insert_na: Insert missing using a filter

In REDCapDM: 'REDCap' Data Management

Insert missing using a filter

Description

Function that allows you to manually input a missing to some variables ('vars') when some filters ('filter') are satisfied. Useful for checkboxes without a gatekeeper question in the branching logic. Take in account that the variable will be transformed only in the events where both the variable and the filter evaluation are present, so they need to have at least one event in common.

Usage

rd_insert_na(..., data = NULL, dic = NULL, event_form = NULL, vars, filter)

Arguments

...	List containing the data and the dictionary and the event if it's needed. Can be the output of the function 'redcap_data'.
data	Data frame containing data from REDCap. If the list is specified this argument is not needed.
dic	Data frame containing the dictionary read from REDCap. If the list is specified this argument is not needed.
event_form	Data frame containing the correspondence of each event with each form. If the list is specified this argument is not needed.
vars	Character vector containing the names of those variables to transform.
filter	Character vector containing the logic to be directly evaluated. When each logic is TRUE the corresponding variable specified in 'vars' will be put to missing.

Value

transformed data with the specified variables converted.

Examples

table(is.na(covican$data$potassium))
data <- rd_insert_na(covican,
             vars = "potassium",
             filter = "age < 65")
table(data$potassium)

REDCapDM documentation built on June 22, 2024, 12:02 p.m.