Plot the most significant components that come from
analysis together with the density of the samples scores along those components.
isoPLSDAplot(pls, n = 2)
integer number of components to plot
helps to visualize the results from
It will plot the samples using the
significant components (t1, t2, t3 ...) from the PLS-DA analysis and the
samples score distribution along the components.
for the plot.
ggpairs plot showing the scores
for each sample using isomiRs/miRNAs expression to explain
data.frame object with a first column refering to the sample group, and the following columns refering to the score that each sample has for each component from the PLS-DA analysis.
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