pre_radarPC: Compute the PCA to the 'paired_times()' output previously to...

Description Usage Arguments Value Examples

View source: R/pre_radarPC.R

Description

Compute the PCA to the paired_times() output previously to visualize radar charts of principal components.

Usage

1
pre_radarPC(data, exp.var = 0.75, limit = 1.5)

Arguments

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.

Value

The needed objects to later plot a radar chart (or spider plot) of principal components.

Examples

1
2
3
t1_t2 <- paired_times(data = clr, first = "_1",
                      second = "_25", common = "_0_")
pre_radarPC(data = t1_t2, exp.var = 0.85)

microSTASIS documentation built on Sept. 14, 2021, 9:07 a.m.