print.princomp.BData.grouped: Print a grouped distributional PCA

In DistributionalDDA: Distributional Data Analysis in Bayes Spaces

Print a grouped distributional PCA

Description

Print a grouped distributional PCA

Usage

## S3 method for class 'princomp.BData.grouped'
print(x, ...)

Arguments

x	a 'princomp.BData.grouped' object (from [princomp.BData] with a 'group').
...	further arguments, currently unused.

Value

'x', invisibly. Prints, per group, the number of observations and the share of variance explained by the first principal component.

See Also

[princomp.BData]

Examples

data("age")
basisAge <- BayesSpaceBasis(BayesSpace(ReferenceMeasureUniform(0, 100)), nbasis = 7)
breaks <- c(0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 100)
ageHist <- BDataDensityHistograms(age$distributions, breaks = breaks, basis = basisAge)
ageSplines <- as.BDataSplines(as.BDataDensities(ageHist))
pcaGrouped <- princomp(ageSplines, group = age$data$sex)
print(pcaGrouped)

DistributionalDDA documentation built on Oct. 20, 2026, 5:06 p.m.