# plotCorrmatrix

##### Calculates and plots correlation matrices for a set of responses

Having calculated the correlations a heat map indicating the magnitude of the
correlations is produced using `ggplot`

. In this heat map, the darker the red in
a cell then the closer the correlation is to -1, while the deeper the blue in the cell,
then the closer the correlation is to 1. Also produced is a matrix plot of all pairwise
combinations of the variables. The matrix plot contains a scatter diagram for each pair,
as well as the value of the correlation coefficient. The argument `pairs.sets`

can be used to restrict the pairs in the matrix plot to those combinations within each
set.

*Warning: corrPlot will be deprecated in future versions, its synonym
plotCorrmatrix being preferred.*

- Keywords
- hplot

##### Usage

```
plotCorrmatrix(responses, data, which.plots = c("heatmap","matrixplot"),
title = NULL, labels = NULL, labelSize = 4,
show.sig = FALSE, pairs.sets = NULL, ...)
```

##### Arguments

- responses
A

`character`

giving the names of the columns in`data`

containing the variables to be correlated.- data
A

`data.frame`

containing the columns of variables to be correlated.- which.plots
A

`character`

specifying the plots of the correlations to be produced.- title
Title for the plots.

- labels
A

`character`

specifying the labels to be used in the plots. If`labels`

is`NULL`

,`responses`

is used for the`labels`

.- labelSize
A

`numeric`

giving the size of the`labels`

in the`matrixplot`

.- show.sig
A

`logical`

indicating whether or not to give asterisks indicating significance on the plot.- pairs.sets
A

`list`

each of whose components is a`numeric`

giving the position of the variable names in`responses`

that are to be included in the set. All pairs of variables in this pairs.set will be included in a matrix plot.- ...
allows passing of arguments to other functions

##### Value

`NULL`

.

##### See Also

##### Examples

```
# NOT RUN {
data(exampleData)
responses <- c("Area","Area.SV","Area.TV", "Image.Biomass", "Max.Height","Centre.Mass",
"Density", "Compactness.TV", "Compactness.SV")
plotCorrmatrix(responses, longi.dat, pairs.sets=list(c(1:4),c(5:7)))
# }
```

*Documentation reproduced from package growthPheno, version 1.0-13, License: GPL (>= 2)*