Supported by Dr. Osamu Ogasawara and  providing  . |
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Last data update: 2014.03.03 |
Plots the total variation versus variation within replicatesDescriptionThis function plots the total variation and the variation within replicates for a given value. If decoys are present these are removed before plotting. Usageplot_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
ValuePlots 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. Author(s)Peter Blattmann Examples
data("OpenSWATH_data", package="SWATH2stats")
data("Study_design", package="SWATH2stats")
data <- sample_annotation(OpenSWATH_data, Study_design)
plot_variation_vs_total(data)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(SWATH2stats)
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/SWATH2stats/plot_variation_vs_total.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plot_variation_vs_total
> ### Title: Plots the total variation versus variation within replicates
> ### Aliases: plot_variation_vs_total
>
> ### ** Examples
>
> data("OpenSWATH_data", package="SWATH2stats")
> data("Study_design", package="SWATH2stats")
> data <- sample_annotation(OpenSWATH_data, Study_design)
> plot_variation_vs_total(data)
[[1]]
rep
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Created & Maintained by Osamu Ogasawara (osamu.ogasawara@gmail.com) and