Add Rug Plot Ggplot2

Library library ggplot2 iris dataset head iris plot ggplot data iris aes x sepal length petal length geom point geom rug col steelblue alpha 0 1 size 1 5.

Add rug plot ggplot2.

Rug plots display individual cases so are best used with. As pointed out by csgroen geom rug is the equivalent of rug function. Add add marginal rugs and use jittering to avoid overplotting ggplot iris aes x petal length y petal width geom point geom rug position jitter size 2. However your rug vector has a different length from x and y so you have to specify pass some arguments into the aes to ge tthe same figure than the one you get in base r plot.

By using geom rug you can add marginal rugs to your scatter plot. All objects will be fortified to produce a data frame. If null the default the data is inherited from the plot data as specified in the call to ggplot. Geom rug mapping null data null.

Description usage arguments details aesthetics examples. But when i am trying rugs are note being created on the left and right side but are created only on the top and bottom. If you have too many points you can jitter the line positions and make them slightly thinner. You can easily add rug on x and y axis thanks to the geom rug function to illustrate the distribution of dots.

Create elegant data visualisations using the grammar of graphics. Rug plots display individual cases so are best used with smaller datasets. A rug plot is a compact visualisation designed to supplement a 2d display with the two 1d marginal distributions. Note you can as well add marginal plots to show these distributions.