spc.boxplots {msmsEDA} | R Documentation |
Draws a boxplot for each column (sample) in a SpC matrix. The SpC are previosly transformed by log2, with an offset of 0.1. If a factor is provided the boxplots are colored by factor level to better visualize the differences.
spc.boxplots(msms.counts,fact=NULL,minSpC=2,...)
msms.counts |
A SpC matrix with proteins in the rows and samples in the columns. |
minSpC |
All matrix cells with values below this threshold are excluded. |
fact |
NULL or a factor of length equal to the number of columns in the expression matrix. If provided the boxplots are colored by factor level. |
... |
Extra parameters passed to the plot function. |
More informative plots are obtained when excluding the cells with values below
2, the default for minSpC
.
Josep Gregori
data(msms.dataset) spc.boxplots(exprs(msms.dataset),fact=pData(msms.dataset)[,1], main="UPS1 200fm vs 600fm")