In this article you will learn how to easily create a ggplot histogram with density curve in r using a secondary y axis.
Add rug plot ggplot.
Note you can as well add marginal plots to show these distributions.
Which plots only the smooth effects diplaying one on each page.
Library library ggplot2 iris dataset head iris plot ggplot data iris aes x sepal length petal length geom point geom rug col.
You can easily add rug on x and y axis thanks to the geom rug function to illustrate the distribution of dots.
Rug plots display individual cases so are best used with smaller datasets.
If null the default the data is inherited from the plot data as specified in the call to ggplot.
It can be used to observe the marginal distributions more clearly.
We ll use the ggpubr package to create the plots and the cowplot package to align the graphs.
Create elegant data visualisations using the grammar of graphics.
A string that controls which sides of the plot the rugs appear on.
By using geom rug you can add marginal rugs to your scatter plot.
Description usage arguments details aesthetics examples.
1992 statistical models in s.
Prerequisites data preparation create histogram with density distribution on the same y axis using a.
Adding marginal rugs to a scatter plot.
Rug plots display individual cases so are best used with.
Geom rug mapping null data null.
Allowed value is a string containing any of trbl for top right bottom and left.
There will be a warning if any finite values are omitted but non finite values are omitted silently.
Add marginal rugs to a scatter plot.
Because of the way rug is implemented only values of x that fall within the plot region are included.
A data frame or other object will override the plot data.
In the r code above we used the argument stat identity to make barplots.
Note that the default value of the argument stat is bin in this case the height of the bar represents the count of cases in each category.
A marginal rug is a one dimensional density plot drawn on the axis of a plot.
This can be avoided by setting addlay false in the call to print plotgam.
A rug plot is a compact visualisation designed to supplement a 2d display with the two 1d marginal distributions.
Notice that plot gamviz returns an object of class plotgam which is initially empty the layers in the previous plots e g.
