Last data update: 2014.03.03
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R: Classical multi-dimensional scaling plot of charm data.
Classical multi-dimensional scaling plot of charm data.
Description
Unsupervised clustering of charm data samples by classical multi-dimensional scaling.
Usage
cmdsplot(labcols, expcol, rawData, p, okqc=1:nrow(p), noXorY=TRUE, outfile="./cmds_topN.pdf", topN=c(100000,1000))
Arguments
labcols |
vector of colors, one for each group being plotted (each unique value of pData(rawData)[,expcol])
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expcol |
name of the column of pData(rawData) the values of which the points are colored differently by.
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rawData |
the TilingFeatureSet object that p came from.
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p |
the matrix of percentage methylation values (scale: 0, 1) from using methp on rawData. One column per sample
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okqc |
vector of indices identifying which rows of p to use.
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noXorY |
logical value for whether or not (TRUE or FALSE) to ignore probes in chr X and Y?
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outfile |
file argument to pdf()
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topN |
Use only the
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Author(s)
Martin Aryee <aryee@jhu.edu>, Peter Murakami, Rafael Irizarry
See Also
regionPlot , dmrFinder , dmrFdr
Examples
# See dmrFdr
Results
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