isoPLSDAplot {isomiRs} | R Documentation |
Plot the most significant components that come from isoPLSDA()
analysis together with the density of the samples scores along those components.
isoPLSDAplot(pls, n = 2)
pls |
Output from |
n |
Number of components to plot. |
The function isoPLSDAplot
helps to visualize the results from isoPLSDA()
.
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.
It uses GGally::ggpairs()
for the plot.
GGally::ggpairs()
plot showing the scores
for each sample using isomiRs/miRNAs expression to explain
variation.
base::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.
data(mirData) # Only miRNAs with > 10 reads in all samples. ids <- isoCounts(mirData, minc=10, mins=6) ids <- isoNorm(ids, formula=~condition) pls.ids <- isoPLSDA(ids, "condition", nperm = 2) isoPLSDAplot(pls.ids)