How to perform PCA with R? | R-bloggers

This post shows how to perform PCA with R and the package FactoMineR

If you want to learn more on methods such as PCA, you can enroll in this MOOC (everyting is free): MOOC on Exploratory Multivariate Data Analysis

Keep reading here

Principal Component Analysis in R | R-bloggers

Principal component analysis (PCA) is routinely employed on a wide range of problems. From the detection of outliers to predictive modeling, PCA has the ability of projecting the observations described by

p

variables into few orthogonal components defined at where the data ‘stretch’ the most, rendering a simplified overview. 

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Because k-Means Kluster! | R-bloggers

Cluster analysis is a form of unsupervised learning, which aims to group observations into clusters.

This ia a true classe on K-mean cluster Just Keep reading 

Multiple Regression (Part 1) | R-bloggers

https://www.r-bloggers.com/multiple-regression-part-1/amp/

May the Force of R be With You, Always! | R-bloggers

https://www.r-bloggers.com/may-the-force-of-r-be-with-you-always/amp/

The Basics of Bayesian Statistics | R-bloggers

https://www.r-bloggers.com/the-basics-of-bayesian-statistics/amp/

Taking a Subset of a Data Frame in R | R-bloggers

https://www.r-bloggers.com/taking-a-subset-of-a-data-frame-in-r/amp/

Outlier detection and treatment with R | R-bloggers

https://www.r-bloggers.com/outlier-detection-and-treatment-with-r/amp/

Outlier detection and treatment with R | R-bloggers

https://www.r-bloggers.com/outlier-detection-and-treatment-with-r/amp/

The Hitchhiker’s Guide to Ggplot2 in R | R-bloggers

https://www.r-bloggers.com/the-hitchhikers-guide-to-ggplot2-in-r/

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