RadarPlot {MSstatsQC} | R Documentation

## A function to create radar plot to aggregate results from X and mR charts or CUSUMm and CUSUMv charts.

### Description

A function to create radar plot to aggregate results from X and mR charts or CUSUMm and CUSUMv charts.

### Usage

    RadarPlot(data = NULL, L = 1, U = 5, method = "XmR",
      listMean = NULL, listSD = NULL)

### Arguments

`data` | omma-separated (.csv), metric file. It should contain a "Precursor" column and the metrics columns. It should also include "Annotations" for each observation.
`L` | lower bound of the guide set.
`U` | upper bound of the guide set.
`method` | defines the method selected to construct control charts.
`listMean` | list of the means for each metric. It is used when mean is known. It is NULL when mean is not known. The default is NULL.
`listSD` | list of the standard deviations for each metric. It is used when standard deviation is known. It is NULL when mean is not known. The default is NULL. automatically by using L and U. The default is NULL.

### Value

A radar plot to aggregate results per metric generated from `XmR.Radar.Plot.DataFrame` data frame or `CUSUM.Radar.Plot.DataFrame` data frame.

### Examples

    # First process the data to make sure it's ready to use
    sampleData <- DataProcess(S9Site54)
    head(sampleData)
    # Draw XmR radar plot
    RadarPlot(data = sampleData)
    RadarPlot(data = sampleData, method = "CUSUM")
    RadarPlot(data = sampleData,
                    listMean = list("BestRetentionTime" = 27.78,
                                    "TotalArea" = 35097129,
                                    "MaxFWHM" = 0.28,
                                    "Peak Assymetry" = 0.98),
                    listSD = list("BestRetentionTime" = 8.19,
                                  "TotalArea" = 34132861,
                                  "MaxFWHM" = 0.054,
                                  "Peak Assymetry" = 0.002)
                    )

[Package MSstatsQC version 2.2.0 Index]