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


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

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

The Basics of Bayesian Statistics | R-bloggers

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

Outlier detection and treatment with R | R-bloggers

Outlier detection and treatment with R | R-bloggers

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

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