MVar (version 2.0.4)

Plot.CCA: 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,
         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.

Color

Colored graphics (default = TRUE).

Casc

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

Value

Returns several graphs.

See Also

CCA

Examples

# NOT RUN {
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)
# }