Add a rug to a plot.
Add rug plot r.
Adds a rug representation 1 d plot of the data to the plot.
Like a strip plot it represents values of a variable by putting a symbol at various points along an axis.
Since the default scale expansion of for continuous variables is 5 at both ends of the scale the rug will not overlap with any data points under the default settings.
Add a rug to a plot description.
Some devices will round the default width up to 1.
However it uses short lines to represent.
The rug and the confidence interval lines have been added by print plotgam which adds some default layers to empty plotgam objects.
Normally 1 bottom or 3 top.
There will be a warning if any finite values are omitted but non finite values are omitted silently.
Notice that plot gamviz returns an object of class plotgam which is initially empty the layers in the previous plots e g.
Which plots only the smooth effects diplaying one on each page.
This can be avoided by setting addlay false in the call to print plotgam.
A marginal rug plot is essentially a one dimensional scatter plot that can be used to visualize the distribution of data on each axis.
Because of the way rug is implemented only values of x that fall within the plot region are included.
The length of the ticks making up the rug.
Adds a rug representation 1 d plot of the data to the plot.
By default the rug lines are drawn with a length that corresponds to 3 of the total plot size.
The line width of the ticks.
There will be a warning if any finite values are omitted but non finite values are omitted silently.
The rug is not really a separate plot.
Usage rug x ticksize 0 03 side 1 lwd 0 5 arguments.
1992 statistical models in s.
Positive lengths give inwards ticks.
The colour the ticks are plotted in.
One common approach to include them in the plot is by adding marginal rugs after the main scatter plot has been plotted.
It is a one dimensional display that you can add to existing plots to illuminate information that is sometimes lost in other types of graphs.
1992 statistical models in s.
In this particular data set the marginal rug is not as informative as it could be.
