Plot.CCA {MVar}R Documentation

Graphs of the Canonical Correlation Analysis (CCA).

Description

Graphs of the Canonical Correlation Analysis (CCA).

Usage

Plot.CCA(CCA, titles = NA, xlabel = NA, ylabel = NA,
         size = 1.1, grid = TRUE, color = TRUE, casc = TRUE)

Arguments

CCA

Data of the CCA function.

titles

Titles of the graphics, if not set, assumes the default text.

xlabel

Names the X axis, if not set, assumes the default text.

ylabel

Names the Y axis, if not set, assumes the default text.

size

Size of the points in the graphs.

grid

Put grid on graphs (default = TRUE).

color

Colored graphics (default = TRUE).

casc

Cascade effect in the presentation of the graphics (default = TRUE).

Value

Returns several graphs.

Author(s)

Paulo Cesar Ossani

Marcelo Angelo Cirillo

See Also

CCA

Examples

data(DataMix) # database

Data <- DataMix[,2:ncol(DataMix)]

rownames(Data) <- DataMix[,1]

X <- as.data.frame(NormData(Data[,1:2],2))

Y <- as.data.frame(NormData(Data[,5:6],2))

Resp <- CCA(X, Y, type = 1, test = "Bartlett", sign = 0.05) # performs CCA

Tit = c("Scree-plot","Correlations","Scores of the group X","Scores of the group Y")

Plot.CCA(Resp, titles = Tit, xlabel = NA, ylabel = NA,
         color = TRUE, casc = TRUE)

[Package MVar version 2.0.9 Index]