Blog Archives

R Tackles Big Garbage

April 1, 2013
By
R Tackles Big Garbage

April 1, 2013 – Although the capabilities of the R system for data analytics have been expanding with impressive speed, it has heretofore been missing important fundamental methods. A new function works with the popular plyr package to provide these missing … Continue reading →

Read more »

R’s 2012 Growth in Capability Exceeds SAS’ All Time Total

March 19, 2013
By
R’s 2012 Growth in Capability Exceeds SAS’ All Time Total

by Robert A. Muenchen I’m slowly gathering all the data needed to update my ongoing article, The Popularity of Data Analysis Software. The section below is the latest installment. Growth in Capability The capability of all the software in this … Continue reading →

Read more »

What Analytic Software are People Discussing?

February 12, 2013
By
What Analytic Software are People Discussing?

by Robert A. Muenchen How can we measure the popularity or market share of analytic software? One way is to see what people are discussing. I’m in the process of updating my annual article, The Popularity of Data Analysis Software. Below … Continue reading →

Read more »

Comparing Transformation Styles: attach, transform, mutate and within

January 22, 2013
By
Comparing Transformation Styles: attach, transform, mutate and within

There are several ways to perform data transformations in R. Each has its own set of advantages and disadvantages. Let’s take one variable, square it and add 100. How many ways might an R beginner screw up such a simple … Continue reading →

Read more »

R for SAS, SPSS, Stata Users Workshop Redesigned

October 2, 2012
By
R for SAS, SPSS, Stata Users Workshop Redesigned

My workshop R for SAS, SPSS and Stata Users has been popular over the years, but it’s time for an overhaul. A common request has been to simplify it, so I have moved data management to a separate 4-hour workshop, … Continue reading →

Read more »

Specifying Variables in R

September 25, 2012
By
Specifying Variables in R

R has several ways to specify which variables to use in an analysis. Some of the most frustrating errors can result from not understanding the order in which R searches for variables. This post demonstrates that order, hopefully smoothing your … Continue reading →

Read more »

SAS Beats R on July 2012 TIOBE Rankings

July 10, 2012
By
SAS Beats R on July 2012 TIOBE Rankings

The TIOBE Community Programming Index ranks the popularity of programming languages, but from a programming language perspective rather than as analytical software (http://www.tiobe.com). It extracts measurements from blogs, entries in Wikipedia, books on Amazon, search engine results, etc. and combines them into a single index. … Continue reading →

Read more »

Why R is Hard to Learn

June 13, 2012
By
Why R is Hard to Learn

The open source R software for analytics has a reputation for being hard to learn. It certainly can be, especially for people who are already familiar with similar packages such as SAS, SPSS or Stata. Training and documentation that leverages … Continue reading →

Read more »

Poll Shows Open Source Almost Even with Commercial Analytics Software

May 31, 2012
By
Poll Shows Open Source Almost Even with Commercial Analytics Software

The 2012 results of the annual KDnuggets poll are in. It shows R in first place with 30.7% of users reporting having used it for a real project. Excel is almost as popular. It seems out of place among so … Continue reading →

Read more »