plot.cmpoutput | R Documentation |
Plot objects of class cmpoutput
.
## S3 method for class 'cmpoutput'
plot(x, ...)
x |
Object of class |
... |
Extra options passed to |
This method produces four sub-plots, namely:
Scatter plot containing the projection of output observations on the first two dimensions of the principal components space.
Bar plot of the percentage of variance explain per principal component.
Bar plot of p-values for the parametric test for each principal component.
Bar plot of p-values for the non-parametric test for each principal component.
None.
# Comparing the concatenated output of the pphpc_ok dataset, which
# contains simulation output data from two similar implementations of the
# PPHPC model.
plot(cmpoutput("All", 0.95, pphpc_ok$data[["All"]], pphpc_ok$obs_lvls))
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