In JiaxiangBU/add2evaluation: add to evaluation of model

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

I get this idea from Silge (2018)'s blog to display the result of PCA in an elegant and easily-read way. Moreover, I think it is a good practice to display the data, and show the PC1 represents what kinds of information of a dataset.

library(add2evaluation)
pca_inbar(mtcars)

Reference {-}

Silge, Julia. 2018. “Supervised Learning in R: Case Studies.” 2018. https://campus.datacamp.com/courses/supervised-learning-in-r-case-studies/get-out-the-vote?ex=9.

JiaxiangBU/add2evaluation documentation built on Jan. 21, 2020, 7:05 a.m.