Rdid not wait for ggplot2 to offer awesome data visualization features. It allows to build absolutely any type of chart, as described in this section and in the gallery.
base Rchart. If you're interested in a specific chart type, browse the gallery as all chart section offer base R option.
ltyparameters allow to control everything. For markers,
pchdo the trick.
base Rchart, controled by the
base Roption to customize the chart appearance.
Each section of the gallery provides several examples implemented with
base R. Here is an overview of my favorite examples:
Mirrored histogram in base R
A mirrored histogram allows to compare the distribution of 2 variables. Here is how to build one in base R.
Histogram with colored tails
Coloring tails sometimes allow to highlight specific areas of the distribution.
Tukey test compares the mean of all pairs of category. Here is how to perform it and represent its result on a boxplot.
Boxplot with jitter
Show individual observations on top of boxes, with jittering to avoid dot overlap.
Color scheme on the side
Add color beside the heatmap to compare actual structure with the expected one.
Image on the chart background
The rasterImage function allows to add an image on the background of the chart.