smdi_vis: Quick ggplot2 barchart visualization of partially...

In smdi: Perform Structural Missing Data Investigations

Quick ggplot2 barchart visualization of partially observed/missing variables

Description

This function takes a dataframe and outputs a nicely formatted ggplot2 vertical barchart plot that visualizes the proportion missing for a given variable (vector) or all existent missing variables. Results can also be stratified by another variable in which case the proportion missing refers to the amount of patients in the respective stratum.

Important: Function assumes the data is in a one-row-per-patient format.

Usage

smdi_vis(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 ggplot2 graph displaying selected or automatically identified variables by percent missing

Examples

library(smdi)

smdi_vis(data = smdi_data)

smdi documentation built on Oct. 6, 2024, 9:06 a.m.