Arquivo do autor:Conrado

R for GIS

In real estate, spatial data is the name of the game. Countless programs
in other domains utilize the power of this data, which is becoming more
prevalent by the day…

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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/

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