PCA_plot: Principal component analysis chart
In fingerPro: A Comprehensive Package for Sediment Source Unmixing
PCA_plot R Documentation
Principal component analysis chart
Description
The function performs a principal components analysis on the given data matrix and displays a biplot using vqv.ggbiplot package of the results for each different source to help the user in the decision.
Usage
PCA_plot(data, components = c(1, 2), colors = NULL)
Arguments
data
Data frame containing source and mixtures data
components
Numeric vector containing the index of the two principal components in the chart
colors
Vector of colors to use for the groups in the plot
fingerPro documentation built on Aug. 27, 2025, 5:11 p.m.
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| PCA_plot | R Documentation |
Principal component analysis chart
Description
The function performs a principal components analysis on the given data matrix and displays a biplot using vqv.ggbiplot package of the results for each different source to help the user in the decision.
Usage
PCA_plot(data, components = c(1, 2), colors = NULL)
Arguments
data |
Data frame containing source and mixtures data |
components |
Numeric vector containing the index of the two principal components in the chart |
colors |
Vector of colors to use for the groups in the 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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