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Visualize the distribution of all variables in the dataset

Source: R/plots.R
plot_all.Rd

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, ylab

labels for the x- and y-axis

...

additional parameters passed to barplot and hist

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)