mvTypePlot {DAPAR} | R Documentation

## 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

### Author(s)

Florence Combes, Samuel Wieczorek

### Examples

    require(DAPARdata)
    data(Exp1_R25_pept)
    qData <- Biobase::exprs(Exp1_R25_pept)
    labels <- Biobase::pData(Exp1_R25_pept)[,"Label"]
    mvTypePlot(qData, labels, threshold=0)

[Package DAPAR version 1.10.4 Index]