ropls.plot: Produce publication-quality ggplot images of ropls objects.

In JeffreyMolendijk/ml-viewR: Machine learning viewer

Description

'ropls.plot“ produces publication-quality ggplot images of ropls objects. The functions automatically determines the model type ("PCA", "PLS", "OPLS","PLS-DA","OPLS-DA") from the ropls object. The components shown in the plot are flexible and determined by the xvar and yvar parameters.

Usage

ropls.plot(d, plottype = "score", xvar, yvar, hotelling = FALSE,
  ellipse = FALSE, col.var = NULL, col.pca = NULL)

Arguments

d	ropls object created by [opls()].
plottype	Which type of plot to produce. Options include scores (default), loadings and metrics.
xvar	which component to plot on the x-axis. Must refer to a single component ("p1") or orthogonal ("o1") component present in the supplied ropls object.
yvar	which component to plot on the y-axis. Must refer to a single component ("p1") or orthogonal ("o1") component present in the supplied ropls object.
hotelling	If set to TRUE, will add Hotelling's T2 ellipse to the plot.
ellipse	If set to TRUE, will add an ellipse around the groups supplied in the model. Does not work for PCA, PLS and OPLS models.
col.var	Vector of categorical or numerical values used to colour the variables of the loading plot.

JeffreyMolendijk/ml-viewR documentation built on Oct. 30, 2019, 7:37 p.m.