Plot components from isoPLSDA analysis (pairs plot)
Plot the most significant components that come from
analysis together with the density of the samples scores along those components.
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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data(mirData) # Only miRNAs with > 10 reads in all samples. ids <- isoCounts(mirData, minc=10, mins=6) ids <- isoNorm(ids) pls.ids <- isoPLSDA(ids, "condition", nperm = 2) isoPLSDAplot(pls.ids)