plotContrastPCA: Show in a PCA plot what samples are compared in statistical...
In ComputationalProteomics/NormalyzerDE: Evaluation of normalization methods and calculation of differential expression analysis statistics
View source: R/calculateStatistics.R
plotContrastPCA R Documentation
Show in a PCA plot what samples are compared in statistical contrast
This is useful to understand what conditions are compared and for checking
for outliers in the contrast
Description
Show in a PCA plot what samples are compared in statistical contrast
This is useful to understand what conditions are compared and for checking
for outliers in the contrast
Usage
plotContrastPCA(nst, jobName, currentLayout, pageno, pcs = c(1, 2))
Arguments
nst
NormalyzerDE statistics object.
jobName
Name of processing run.
currentLayout
Layout used for document.
pageno
Current page number.
pcs
Principal components to show.
Value
None
ComputationalProteomics/NormalyzerDE documentation built on Sept. 18, 2023, 9:15 p.m.
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View source: R/calculateStatistics.R
| plotContrastPCA | R Documentation |
Show in a PCA plot what samples are compared in statistical contrast This is useful to understand what conditions are compared and for checking for outliers in the contrast
Description
Show in a PCA plot what samples are compared in statistical contrast This is useful to understand what conditions are compared and for checking for outliers in the contrast
Usage
plotContrastPCA(nst, jobName, currentLayout, pageno, pcs = c(1, 2))
Arguments
nst |
NormalyzerDE statistics object. |
jobName |
Name of processing run. |
currentLayout |
Layout used for document. |
pageno |
Current page number. |
pcs |
Principal components to show. |
Value
None
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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