inst/helpfiles/tabPanel_PCA.md
In tnaake/MatrixQCvis: Shiny-based interactive data-quality exploration for omics data
Principal component analysis (PCA)
The panel depicts a plot of PCA. The data input can be scaled and
centered prior to calculating the principal components by adjusting the
respective tick marks. The different PCs can be displayed by changing the
values in the drop-down menus for the x-axis and y-axis.
A scree plot, showing the explained variance per PC, is displayed in the
right panel.
tnaake/MatrixQCvis documentation built on June 20, 2024, 7:22 a.m.
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Principal component analysis (PCA)
The panel depicts a plot of PCA. The data input can be scaled and centered prior to calculating the principal components by adjusting the respective tick marks. The different PCs can be displayed by changing the values in the drop-down menus for the x-axis and y-axis.
A scree plot, showing the explained variance per PC, is displayed in the right panel.
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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