ContFeaturesPlot: Plot of continuous features
In IntClust: Integration of Multiple Data Sets with Clustering Techniques

Description Usage Arguments Value Examples

The function ContFeaturesPlot plots the values of continuous features. It is possible to separate between objects of interest and the other objects.

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ContFeaturesPlot(leadCpds, data, nrclusters = NULL, orderLab = NULL,
  colorLab = NULL, cols = NULL, ylab = "features", addLegend = TRUE,
  margins = c(5.5, 3.5, 0.5, 8.7), plottype = "new", location = NULL)

`leadCpds`	A character vector containing the objects one wants to separate from the others.
`data`	The data matrix.
`nrclusters`	Optional. The number of clusters to consider if colorLab is specified. Default is NULL.
`orderLab`	Optional. If the objects are to set in a specific order of a specific method. Default is NULL.
`colorLab`	The clustering result that determines the color of the labels of the objects in the plot. If NULL, the labels are black. Default is NULL.
`cols`	The colors for the labels of the objects. Default is NULL.
`ylab`	The lable of the y-axis. Default is "features".
`addLegend`	Logical. Indicates whether a legend should be added to the plot. Default is TRUE.
`margins`	Optional. Margins to be used for the plot. Default is c(5.5,3.5,0.5,8.7).
`plottype`	Should be one of "pdf","new" or "sweave". If "pdf", a location should be provided in "location" and the figure is saved there. If "new" a new graphic device is opened and if "sweave", the figure is made compatible to appear in a sweave or knitr document, i.e. no new device is opened and the plot appears in the current device or document. Default is "new".
`location`	If plottype is "pdf", a location should be provided in "location" and the figure is saved there. Default is NULL.

A plot in which the values of the features of the leadCpds are separeted from the others.

## Not run: 
data(Colors1)
Comps=c("Cpd1", "Cpd2", "Cpd3", "Cpd4", "Cpd5")

Data=matrix(sample(15, size = 50*5, replace = TRUE), nrow = 50, ncol = 5)
colnames(Data)=colnames(Data, do.NULL = FALSE, prefix = "col")
rownames(Data)=rownames(Data, do.NULL = FALSE, prefix = "row")
for(i in 1:50){
	rownames(Data)[i]=paste("Cpd",i,sep="")
}

ContFeaturesPlot(leadCpds=Comps,orderLab=rownames(Data),colorLab=NULL,data=Data,
nrclusters=7,cols=Colors1,ylab="features",addLegend=TRUE,margins=c(5.5,3.5,0.5,8.7),
plottype="new",location=NULL)

## End(Not run)