Category Archives: R Programming

Quickly export multiple R objects to an Excel Workbook

Working with a business audience, I am frequently called upon to send analytic results to clients in the form of Excel Workbooks. The xlsx package facilitates exporting tables and datasets Excel, but I wanted a very simple function that would let me … Continue reading

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Upcoming R Training Course in Boston

R for Software Developers and Data Analysts Saturday June 28, 2014 9:00am-4:00pm Microsoft NERD, Cambridge, MA I’ll be presenting a one day professional development workshop on R programming for software developers and data scientists, sponsored by the Greater Boston Chapter of … Continue reading

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New R Workshop in the Bay Area

Practical Data Visualization with R Saturday March 9th, 2013 8:30-5:00pm EBay 2161 North 1st Street San Jose, California I will be presenting a one day professional development workshop on modern data visualization with R, sponsored by the ACM San Francisco Bay … Continue reading

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Permutation tests in R

Permuation tests (also called randomization or re-randomization tests) have been around for a long time, but it took the advent of high-speed computers to make them practically available. They can be particularly useful when your data are sampled from unkown … Continue reading

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R Training Course in the Bay Area

An introduction to R for sofware developers and data analysts Saturday March 10th, 2012 8:30-5:00pm EBay 2161 North 1st Street San Jose, California I will be presenting a one day professional development workshop on R programming for software developers and … Continue reading

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Getting Fancy with 3-D Scatterplots

R has some great functions for generating scatterplots in 3 dimensions. Two of the best are the scatter3d() function in John Fox’s car package, and the scatterplot3d() function in Uwe Ligges’ scatterplot3d package. In this post, we will focus on … Continue reading

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Staying up with R

No, I don’t mean late night coding. R is constantly changing – both as a language and a platform. Updates containing new functionality are frequent. New and revised packages appear several times a week.  Staying current with these myriad changes can … Continue reading

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Easy cell statistics for factorial designs

A common task when analyzing multi-group designs is obtaining descriptive statistics for various cells and cell combinations. There are many functions that can help you accomplish this, including aggregate() and by() in the base installation, summaryBy() in the doBy package, and … Continue reading

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Quick-R Gets a Blog

After maintaining the  Quick-R website (R tutorials and jumpstart) for the past 5 years, I’ve decided to add a blog so that I can go into more detail on topics related to practical data analysis. The statMethods blog will contain articles … Continue reading

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