smdi_vis

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.

An easy to use implementation of routine structural missing data diagnostics with functions to visualize the proportions of missing observations, investigate missing data patterns and conduct various empirical missing data diagnostic tests. Reference: Weberpals J, Raman SR, Shaw PA, Lee H, Hammill BG, Toh S, Connolly JG, Dandreo KJ, Tian F, Liu W, Li J, Hernández-Muñoz JJ, Glynn RJ, Desai RJ. smdi: an R package to perform structural missing data investigations on partially observed confounders in real-world evidence studies. JAMIA Open. 2024 Jan 31;7(1):ooae008. <doi:10.1093/jamiaopen/ooae008>.

Janick Weberpals

smdi

Perform Structural Missing Data Investigations

smdi_vis function

<dl><dt>data</dt>
<dd>dataframe or tibble object with partially observed/missing variables. Assumes a a one-row-per-patient format</dd>
<dt>covar</dt>
<dd>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</dd>
<dt>strata</dt>
<dd>character name of variable/column by which results should be stratified</dd></dl>

Arguments

Quick ggplot2 barchart visualization of partially observed/missing variables — smdi_vis

<dl>

<dt>data</dt>
<dd>dataframe or tibble object with partially observed/missing variables. Assumes a a one-row-per-patient format</dd>


<dt>covar</dt>
<dd>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</dd>


<dt>strata</dt>
<dd>character name of variable/column by which results should be stratified</dd>

</dl>

smdi_vis: Quick ggplot2 barchart visualization of partially observed/missing variables

Description

Usage

Value

Arguments

Examples