plot_all {JointAI} | R Documentation |
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 |
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 |
idvars |
name of the column that specifies the multi-level grouping structure |
xlab , ylab |
labels for the x- and y-axis |
... |
See Also
Vignette: Visualizing Incomplete Data
Examples
op <- par(mar = c(2,2,3,1), mgp = c(2, 0.6, 0))
plot_all(wideDF)
par(op)
[Package JointAI version 1.0.6 Index]