Description Usage Arguments Value Examples
Compute the PCA to the paired_times()
output previously to visualize radar charts of principal components.
1 | pre_radarPC(data, exp.var = 0.75, limit = 1.5)
|
data |
input matrix with paired times. |
exp.var |
desired explained variance, i.e. a value between 0 and 1. |
limit |
times to distance an interquartile range from the first and third quartile; default is 1.5, i.e. the whiskers of a boxplot. |
The needed objects to later plot a radar chart (or spider plot) of principal components.
1 2 3 | t1_t2 <- paired_times(data = clr, first = "_1",
second = "_25", common = "_0_")
pre_radarPC(data = t1_t2, exp.var = 0.85)
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