QualFreqPlot {ReQON} | R Documentation

## Plot frequency distributions of quality scores.

### Description

Plots the relative frequency distribution of quality scores before and after recalibration.

### Usage

    QualFreqPlot(QualFreqBefore, QualFreqAfter, before_col = "blue",
       after_col = "red", inc_legend = TRUE, xlabel = "Quality Score",
       ylabel = "Relative Frequency",
       main_title = "Frequency Distributions of Quality Scores")

### Arguments

`QualFreqBefore` | vector of relative frequencies of quality scores before recalibration. The first element in the vector corresponds to a quality score of zero.
`QualFreqAfter` | vector of relative frequencies of quality scores after recalibration. The first element in the vector corresponds to a quality score of zero.
`before_col` | color of line plotting the frequency before recalibration. Default = "blue".
`after_col` | color of line plotting the frequency after recalibration. Default = "red".
`inc_legend` | option for including a legend. Default = TRUE.
`xlabel` | x-axis label. Default = "Quality Score".
`ylabel` | y-axis label. Default = "Relative Frequency".
`main_title` | title. Default = "Frequency Distributions of Quality Scores".

### Details

QualFreqPlot plots the relative frequency distribution of quality scores before and after recalibration. If the input vectors are $QualFreqBefore and $QualFreqAfter from ReQON output, this function will create the top right diagnostic plot that is output from ReQON.

For more details and interpretation, see the vignette by: browseVignettes("ReQON").

### Author(s)

Christopher Cabanski ccabansk@genome.wustl.edu

### Examples

    ## Create data of frequencies
    require( stats )
    before <- dpois( c( 0:40 ), 40 )
      before <- before / sum( before )
    after <- dnorm( c( 0:40 ), mean = 30, sd = 8 )
      after <- after / sum( after )

    ## plot
    QualFreqPlot( before, after )

[Package ReQON version 1.28.0 Index]