score_plot: Principal Components Analysis Scores Plot
In bcm-uga/pcadapt: Fast Principal Component Analysis for Outlier Detection

score_plot

R Documentation

Principal Components Analysis Scores Plot

"score_plot" plots the projection of the individuals onto the first two principal components.

score_plot(x, i = 1, j = 2, pop, col, plt.pkg = "ggplot")

`x`	an output from `pcadapt` containing the scores.
`i`	an integer indicating onto which principal component the individuals are projected when the "scores" option is chosen. Default value is set to `1`.
`j`	an integer indicating onto which principal component the individuals are projected when the "scores" option is chosen. Default value is set to `2`.
`pop`	a list of integers or strings specifying which subpopulation the individuals belong to.
`plt.pkg`	a character string specifying the package to be used to display the graphical outputs. Use `"plotly"` for interactive plots, or `"ggplot"` for static plots.