pcaPlot-methods: PCA of the main data sets contained in a object of class...
In brunocontrino/DOSCHEDA: A DownStream Chemo-Proteomics Analysis Pipeline
Description
Usage
Arguments
Value
See Also
Examples
Description
Plot of Principal Component Analysis for the first two principal components of the experimental data.
Usage
1
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Arguments
x
object of class 'ChemoProtSet'
...
other plot options
Value
PCA plot for objects of class ChemoProtSet
See Also
Examples
1
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ex <- processedExample
ex <- runNormalisation(ex)
ex <- fitModel(ex)
pcaPlot(ex)
ex <- processedExample
ex <- runNormalisation(ex)
ex <- fitModel(ex)
pcaPlot(ex)
brunocontrino/DOSCHEDA documentation built on Sept. 15, 2020, 12:12 a.m.
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Description Usage Arguments Value See Also Examples
Description
Plot of Principal Component Analysis for the first two principal components of the experimental data.
Usage
1 2 3 4 |
Arguments
x |
object of class 'ChemoProtSet' |
... |
other plot options |
Value
PCA plot for objects of class ChemoProtSet
See Also
Examples
1 2 3 4 5 6 7 8 | ex <- processedExample
ex <- runNormalisation(ex)
ex <- fitModel(ex)
pcaPlot(ex)
ex <- processedExample
ex <- runNormalisation(ex)
ex <- fitModel(ex)
pcaPlot(ex)
|
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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