Plot the distribution function for principal components — autoplot.apd_pca • applicable

Plot the distribution function for principal components

Usage

# S3 method for class 'apd_pca'
autoplot(object, ...)

Arguments

object: An object produced by apd_pca.
...: An optional set of dplyr selectors, such as dplyr::matches() or dplyr::starts_with() for selecting which variables should be shown in the plot.

Value

A ggplot object that shows the distribution function for each principal component.

Examples

library(ggplot2)
library(dplyr)
library(modeldata)
#> 
#> Attaching package: ‘modeldata’
#> The following object is masked from ‘package:datasets’:
#> 
#>     penguins
data(biomass)

biomass_ad <- apd_pca(biomass[, 3:8])

autoplot(biomass_ad)

# Using selectors in `...`
autoplot(biomass_ad, distance) + scale_x_log10()

autoplot(biomass_ad, matches("PC[1-2]"))