SWATH2stats (version 1.2.3)

plot_variation_vs_total: Plots the total variation versus variation within replicates

Description

This function plots the total variation and the variation within replicates for a given value. If decoys are present these are removed before plotting.

Usage

plot_variation_vs_total(data, column.values = "Intensity", 
Comparison1 = transition_group_id  ~ BioReplicate + Condition, 
Comparison2 = transition_group_id + Condition ~ BioReplicate, 
fun.aggregate = NULL, label=TRUE, ...)

Arguments

data

Data table that is produced by the OpenSWATH/pyProphet workflow

column.values

Indicates the columns for which the variation is assessed. This can be the Intensity or Signal, but also the retention time.

Comparison1

The comparison for assessing the total variability. Default is to assess the variability per transition_group_id over the combination of Replicates and different Conditions.

Comparison2

The comparison for assessing the variability within the replicates. Default is to assess the variability per transition_group_id and Condition over the different Replicates.

fun.aggregate

If depending on the comparison values have to be aggregated one needs to provide the function here.

label

Option to print value of median cv.

...

further arguments passed to method.

Value

Plots in Rconsole a violin plot comparing the total variation with the variation within replicates. In addition it returns the data frame from which the plotting is done and a table with the calculated mean, median and mode of the cv for the total or replicate data.

Examples

data("OpenSWATH_data", package="SWATH2stats")
data("Study_design", package="SWATH2stats")
data <- sample_annotation(OpenSWATH_data, Study_design)
plot_variation_vs_total(data)