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The third release of littler as a CRAN package is now available, following in the now more than ten-year history as a package started by Jeff in the summer of 2006, and joined by me a few weeks later. littler is the first command-line interface for R and predates Rscript. It ... [Read more...]

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In the first post on factor analysis, we examined computing the estimated covariance matrix of the rootstock data and proceeded to find two factors that fit most of the variance of the data using the principal component method. However, the variables in the data are not on the same scale... ... [Read more...]

Should I learn R or Python for data science? I am asked this question regularly, both online and in person. There is a simple answer: it doesn’t matter. There are pros and cons to both which have been written about extensively so I reinvent the wheel by making a ... [Read more...]

We the moody Gucci, Louis and Pucci men Escada, Prada The chopper it got the Uzi lens Bird’s-eye view The birds I knew, flip birds Bird gangs, it was birds I flew Say you use the base #rstats lm() command lm(data=dat_foo[,c('y','x1','x2... [Read more...]

A beautiful graph tells more than a lenghtly speach!! So it is crucial to improve the graphs obtained by Principal Component Analysis or (Multiple) Correspondence Analysis. The package Factoshiny allows us to easily improve these graphs interactively. The package Factoshiny makes interacting with R and FactoMineR simpler, thus facilitating selection ... [Read more...]

Tomaž Kaštrun is developer and data analyst working for the IT group at SPAR (the ubiquitous European chain of convenience stores) in Austria. He blogs regularly about using Microsoft R and SQL Server for data analyis, and recently published a roundup of his articles about R and SQL Server. ... [Read more...]

Introduction of Parameterized dplyr expression The usefullness of any small function you write will eventually be judged upon its ability to be generically applied across any arbitrary data. As I explored a blog post from Dec 2016, I became a lot more... [Read more...]

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Raccoon is a free web-book about Statistical Models with R. It's the collection of twenty years of notes, exercises and concepts working with statistics and R. This is the fifth section of the second chapter, about unbalanced Anova with one obs dropped. The post Raccoon | Ch 2.5 – Unbalanced Anova with one ... [Read more...]

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My experience and some advices about the process - Many people, including my university colleagues and friends, have asked me about the process of writing a book and self publishing it in Amazon. You can find the details about the... [Read more...]

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R 3.3.3 (codename: "Another Canoe") is scheduled for release on March 6. This is the "wrap-up" release of the R 3.3 series, which means it will include minor bug fixes and improvements, but eschew major new features. Major changes are coming though, with the subsequent release of R 3.4.0. While the NEWS file announcing ... [Read more...]

This is the third post in my series of ggraph introductions. The first post introduced the concept of layouts, which is simply a specification on how nodes should be placed on a plane. The second explained how to draw nodes using the geom_node_*() fam... [Read more...]

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