missing_plot: Missing values occurrence plot

In finalfit: Quickly Create Elegant Regression Results Tables and Plots when Modelling

Missing values occurrence plot

Description

Create a plot of missing values by observations on the x-axis and variable on the y-axis. Dependent and explanatory are for convenience and are optional.

Usage

missing_plot(
  .data,
  dependent = NULL,
  explanatory = NULL,
  use_labels = TRUE,
  title = NULL,
  plot_opts = NULL
)

Arguments

.data	Data frame.
dependent	Character vector. Optional name of dependent variable.
explanatory	Character vector. Optional name(s) of explanatory variables.
use_labels	Use variable label names in plot labelling.
title	Character vector. Optional title for plot.
plot_opts	A list of arguments to be appended to the ggplot call by "+".

Value

Heat map of missing values in dataset.

Examples

colon_s %>%
  missing_plot()

finalfit documentation built on Sept. 11, 2024, 9:01 p.m.