Utility helper to give a light summary of partially observed covariates

This function takes a dataframe and automatically returns the amount and proportion of missing for partially observed covariates assuming a one-row-per-patient dataframe. This is an important utility function for other functions in this package. Results can also be stratified by another variable in which case the proportion missing refers to the amount of patients in the respective stratum.

Usage

smdi_summarize(data = NULL, covar = NULL, strata = NULL)

Arguments

data

dataframe or tibble object with partially observed/missing variables. Assumes a a one-row-per-patient format.

covar

character covariate or covariate vector with partially observed variable/column name(s) to investigate. If NULL, the function automatically includes all columns with at least one missing observation.

strata

character name of variable/column by which results should be stratified

Value

returns count and proportion of missing values. If strata is specified, the returned proportion refers to the amount of patients in the respective stratum.

Examples

library(smdi)

smdi_vis(data = smdi_data)