hc_mvTypePlot2: Distribution of Observed values with respect to intensity...
In DAPAR: Tools for the Differential Analysis of Proteins Abundance with R

Description Usage Arguments Value Author(s) Examples

This method shows density plots which represents the repartition of Partial Observed Values for each replicate in the dataset. The colors correspond to the different conditions (slot Condition in in the dataset of class MSnSet). The x-axis represent the mean of intensity for one condition and one entity in the dataset (i. e. a protein) whereas the y-axis count the number of observed values for this entity and the considered condition.

1	hc_mvTypePlot2(qData, conds, palette = NULL, typeofMV = NULL, title = NULL)

`qData`	A dataframe that contains quantitative data.
`conds`	A vector of the conditions (one condition per sample).
`palette`	The different colors for conditions
`typeofMV`	xxx
`title`	The title of the plot

Density plots

Samuel Wieczorek

utils::data(Exp1_R25_pept, package='DAPARdata')
qData <- Biobase::exprs(Exp1_R25_pept)
conds <- Biobase::pData(Exp1_R25_pept)[,"Condition"]
hc_mvTypePlot2(qData, conds, title="POV distribution")