plot_missing_data: Calculate how much data is missing for each patient, visit...

In LisaHopcroft/CTutils: Helpful Functions for Clinical Trial Data Analysis at SCTRU (Public Health Scotland)

Description

Calculate how much data is missing for each patient, visit and test battery.

Usage

plot_missing_data(
  missing_data_percentages,
  id_var,
  site_var,
  patient_annotations,
  annotation_threshold = -1,
  width.expansion = 15,
  first_column.width = unit(4, "cm"),
  panel_sizes = c(1, 1, 1)
)

Arguments

missing_data_percentages	The tibble generated by calculate_missing_data.
id_var	A quosure representing the column that contains the patient label.
site_var	A quosure representing the column that contains the site name for that patient.
patient_annotations	The tibble representing attendance at visits (containing the patient label, hospital, visit annotation and all dates).
annotation_threshold	The threshold of percentage missing data (expressed as a number between 0 and 100) for annotation. The default is -1 (therefore showing all percentages).
width.expansion	A coefficient to control the width of the panels for each site
first_column.width	A measurement (using unit()) for the width of the row labels
panel_sizes	The relative sizes (heights) of the two panels

LisaHopcroft/CTutils documentation built on Oct. 7, 2021, 11:08 p.m.