# Archive for category Data analysis

### Multivariate Analysis with R

Posted by Richard Lent in Data analysis on June 23, 2017

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 […]

### RStudio as a Research and Writing Platform

Posted by Richard Lent in Data analysis, Programming, Writing and citing on December 1, 2016

[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 […]

### Python programmers: Big data’s main squeeze

Posted by Richard Lent in Articles, Data analysis, Programming on December 17, 2015

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

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

Posted by Richard Lent in Articles, Data analysis on September 2, 2015

An article by Casimir Saternos in the Pluralsight blog.

### Introduction to R

Posted by Richard Lent in Data analysis on March 17, 2015

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. […]