JointAI: plot_all – R documentation

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plot_all

Visualize the distribution of all variables in the dataset

Description

This function plots a grid of histograms (for continuous variables) and bar plots (for categorical variables) and labels it with the proportion of missing values in each variable.

Usage

plot_all(data, nrow = NULL, ncol = NULL, fill = grDevices::grey(0.8),
  border = "black", allNA = FALSE, idvars = NULL, xlab = "",
  ylab = "frequency", ...)

Arguments

`data`	a `data.frame` (or a `matrix`)
`nrow`	optional; number of rows in the plot layout; automatically chosen if unspecified
`ncol`	optional; number of columns in the plot layout; automatically chosen if unspecified
`fill`	colour the histograms and bars are filled with
`border`	colour of the borders of the histograms and bars
`allNA`	logical; if `FALSE` (default) the proportion of missing values is only given for variables that have missing values, if `TRUE` it is given for all variables
`idvars`	name of the column that specifies the multi-level grouping structure
`xlab`	labels for the x- and y-axis
`ylab`	labels for the x- and y-axis
`...`	additional parameters passed to `barplot` and `hist`

Examples

op <- par(mar = c(2,2,3,1), mgp = c(2, 0.6, 0))
plot_all(wideDF)
par(op)

JointAI

Joint Analysis and Imputation of Incomplete Data

v1.0.2

GPL (>= 2)

Authors

Nicole S. Erler [aut, cre] (<https://orcid.org/0000-0002-9370-6832>)

Initial release