Graphics Reference
In-Depth Information
Table 13-1. Options for corrplot()
Option
Description
type={"lower"
|
"upper"}
Only use the lower or upper triangle
Don't show values on the diagonal
diag=FALSE
Add lines indicating the direction of the correlation
addshade="all"
Hide correlation direction lines
shade.col=NA
Use colored squares
method="shade"
Use ellipses
method="ellipse"
Add correlation coefficients, in
color
addCoef.col="
color
"
Specify the rotation angle for top labels
tl.srt="
number
"
Specify the label color
tl.col="
color
"
order={"AOE"
|
"FPC"
|
"hclust"}
Sort labels using angular order of eigenvectors, first principle component, or hier-
archical clustering
See Also
To create a scatter plot matrix, see
Making a Scatter Plot Matrix
.
For more on subsetting data, see
Getting a Subset of a Data Frame
.
Plotting a Function
Problem
You want to plot a function.
Solution
Use
stat_function()
. It's also necessary to give
ggplot()
a dummy data frame so that it will
get the proper xrange. In this example we'll use
dnorm()
, which gives the density of the normal
distribution (
Figure 13-4
, left):
# The data frame is only used for setting the range
p
<-
ggplot(data.frame(x
=
c(
-3
,
3
)), aes(x
=
x))
