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paired_times()
Compute the PCA to the paired_times() output previously to visualize radar charts of principal components.
pre_radarPC(data, exp.var = 0.75, limit = 1.5)
input matrix with paired times.
desired explained variance, i.e. a value between 0 and 1.
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.
# NOT RUN { 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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