mvImage: Heatmap of missing values
In DAPAR: Tools for the Differential Analysis of Proteins Abundance with R

Description Usage Arguments Value Author(s) Examples

Plots a heatmap of the quantitative data. Each column represent one of the conditions in the object of class MSnSet and the color is proportional to the mean of intensity for each line of the dataset. The lines have been sorted in order to vizualize easily the different number of missing values. A white square is plotted for missing values.

1	mvImage(qData, conds)

`qData`	A dataframe that contains quantitative data.
`conds`	A vector of the conditions (one condition per sample).

A heatmap

Samuel Wieczorek, Thomas Burger

utils::data(Exp1_R25_pept, package='DAPARdata')
qData <- Biobase::exprs(Exp1_R25_pept)
conds <- Biobase::pData(Exp1_R25_pept)[,"Condition"]
mvImage(qData, conds)