EmilHvitfeldt/horus
Visual Tools To Help Machine Learning model Selection

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viz_pcacm: PCA component measures

viz_pcacm: PCA component measures
In EmilHvitfeldt/horus: Visual Tools To Help Machine Learning model Selection

Description Usage Arguments Value Examples

View source: R/viz_pcacm.R

Description

PCA component measures

Usage

1
viz_pcacm(x, n_pca = 10, n_var = 10)

Arguments

x

a data.frame

n_pca

Number of Principle components to show

n_var

Number of Variables to show

Value

a ggplot2 object

Examples

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viz_pcacm(mtcars)
viz_pcacm(USArrests)
viz_pcacm(beaver1)

viz_pcacm(mtcars, n_pca = 4)
viz_pcacm(mtcars, n_var = 4)
viz_pcacm(mtcars, n_pca = 2, n_var = 6)

EmilHvitfeldt/horus documentation built on June 12, 2021, 7 p.m.

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