ContFeaturesPlot: Plot of continuous features
In IntClust: Integrated Data Analysis via Clustering

Description Usage Arguments Value Author(s) Examples

The function BioassayPlot plots the bioassay values for the compounds. It is possible to separate between compounds of interest and the other compounds. This is a visualization to see how bio-assays differ from cluster to cluster.

1 2	ContFeaturesPlot(LeadCpds,Data,nrclusters,OrderLab,ColorLab=NULL,cols=NULL, ylab="bio-assays",AddLegend=TRUE,margins=c(5.5,3.5,0.5,8.7),plottype="new",location=NULL)

`LeadCpds`	A character vector containing the compounds one wants to separate from the others.
`Data`	The bio-assay data matrix.
`nrclusters`	Optional. The number of clusters to consider if ColorLab is specified.
`OrderLab`	Optional. If the compounds are to set in a specific order of a specific method.
`ColorLab`	The clustering result that determines the color of the labels of the objects in the plot. If NULL, the labels are black.
`cols`	The colors for the labels of the objects.
`ylab`	The lable of the y-axis.
`AddLegend`	Logical. Indicates whether a legend should be added to the plot.
`margins`	Optional. Margins to be used for the plot.
`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.
`location`	If plottype is "pdf", a location should be provided in "location" and the figure is saved there.

A plot in which the values of the bio-assays for the LeadCpds are separeted from the others.

Marijke Van Moerbeke

data(Colors2)
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=Colors2,ylab="bio-assays",AddLegend=TRUE,margins=c(5.5,3.5,0.5,8.7),
plottype="new",location=NULL)