Compute a PCA
Now it's your turn: Compute a PCA on the newsData
dataset which is already loaded in the workspace and look at the results. The stats
package is loaded by default, the package dplyr
has already been loaded for you.
Cet exercice fait partie du cours
Machine Learning for Marketing Analytics in R
Instructions
- First, standardize all variables in the dataset and save the result again in
newsData
(it's ok to overwrite the existingnewsData
object, we won't need it anymore). - Compute a PCA and store the results in an object called
pcaNews
. - Examine the results by looking at the eigenvalues. Round them to two digits.
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Standardize data
___ <- newsData %>% ___() %>% as.data.frame()
# Compute PCA
___ <- newsData %>% ___()
# Eigenvalues
pcaNews$___ %>% ___()