Note you can as well add marginal plots to show these distributions.
Add rug plot ggplot2.
Description usage arguments details aesthetics examples.
I also need to create a rugs on the left side of the plot.
Create elegant data visualisations using the grammar of graphics.
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.
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.
By using geom rug you can add marginal rugs to your scatter plot.
A data frame or other object will override the plot data.
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.
A rug plot is a compact visualisation designed to supplement a 2d display with the two 1d marginal distributions.
Now iam interested in creating a ggplot income distribution by retirement.
You can easily add rug on x and y axis thanks to the geom rug function to illustrate the distribution of dots.
Geom rug mapping null data null.
Rug plots display individual cases so are best used with.
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.
All objects will be fortified to produce a data frame.