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DAPAR (version 1.4.7)

mvTypePlot: Distribution of missing values with respect to intensity values

Description

This method plots a scatter plot which represents the distribution of missing values. The colors correspond to the different conditions (slot Label 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 missing values for this entity and the considered condition. The data have been jittered for an easier vizualisation.

Usage

mvTypePlot(qData, labels, threshold = 0)

Arguments

qData
A dataframe that contains quantitative data.
labels
A vector of the conditions (labels) (one label per sample).
threshold
An integer for the intensity that delimits MNAR and MCAR missing values.

Value

A scatter plot

Examples

Run this code
data(UPSpep25)
qData <- Biobase::exprs(UPSpep25)
labels <- Biobase::pData(UPSpep25)[,"Label"]
mvTypePlot(qData, labels, threshold=0)

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