Archive for category Data analysis

Multivariate Analysis with R

Multivariate analysis is that branch of statistics concerned with examination of several variables simultaneously. This post demonstrates the practical application of several multivariate techniques, using the R programming language and computing environment. Topics include ecological and geographic distance matrices, cluster analysis, the Mantel test, multidimensional scaling, principle components analysis, and discriminant function analysis. The main body of […]

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RStudio as a Research and Writing Platform

[A revised and updated version of this post can be found here.] R (r-project.org) is a programming language and software platform for statistical computing and graphics, widely used in academia and industry (see Introduction to R). RStudio is an integrated development environment for R. RStudio makes R easier to use, and it also enables the […]

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Python programmers: Big data’s main squeeze

An article by Jennifer Davies in The San Diego Union-Tribune.  

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R: Why it’s the next programming language you should learn

An article by Casimir Saternos in the Pluralsight blog.

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Introduction to R

00. A revised and updated version of this post can be found here. 0. Readers of this post may find the Glossary of Statistical Terms helpful. 1. R is a free, open-source, cross-platform statistical and graphical environment that can be obtained from www.r-project.org. 2. Some reasons for using R: R is world-class software for data analysis and visualization. R is free. […]

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