makepca: Performs Principal component analysis and multidimensional...
In MarcIsak/MQExply: Exploratory Analysis of MaxQuant Results
Description
Performs Principal component analysis and multidimensional scaling of LFQ data
Usage
1
makepca(mqo, pcs, pcaSel, nTopProts)
Arguments
mqo
input maxquant object
pcs
input, principal components to plot, like pcs <- c(1,2) for PC1 and PC2
pcaSel
input, selected method for the principal component analysis, like singular value decomposition ("svd")
nTopProts
input, top n protein groups to be used for the MDS plot
MarcIsak/MQExply documentation built on May 30, 2019, 4:01 a.m.
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Description
Performs Principal component analysis and multidimensional scaling of LFQ data
Usage
1 | makepca(mqo, pcs, pcaSel, nTopProts)
|
Arguments
mqo |
input maxquant object |
pcs |
input, principal components to plot, like pcs <- c(1,2) for PC1 and PC2 |
pcaSel |
input, selected method for the principal component analysis, like singular value decomposition ("svd") |
nTopProts |
input, top n protein groups to be used for the MDS plot |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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