Wednesday, I began a new series called "sab-R-metrics". My hope is that it reduces the frustration that goes along with learning a new programming language and enhances others' ability to perform their own analysis in baseball or other sports. However, these tutorials will hopefully allow you to use these skills in other areas as well. ...
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sab-R-metrics: Introduction to R
In a recent post, I briefly mentioned that I may turn a majority of the focus of this blog to teaching R commands for use with sabermetric analysis. Only a few days later, Ricky Zanker began a new column at The Hardball Times doing just that. But that's okay. Hopefully both his and mine...
sab-R-metrics: Introduction to R
In a recent post, I briefly mentioned that I may turn a majority of the focus of this blog to teaching R commands for use with sabermetric analysis. Only a few days later, Ricky Zanker began a new column at The Hardball Times doing just that. But that's okay. Hopefully both his and mine...
Customizing the Theme of Your R HTML Help
R’s default theme of the HTML help pages is too plain for me to read, but we can easily modify the theme, which is essentially a CSS file. You can find the file under: file.path(R.home('doc'), 'html', 'R.css') Simply replace this file with my version: which looks like: Of course you can design your own R.css
Example 8.19: Referencing lists of variables
In section 1.11.4 (p. 50), we discuss referring to lists of variables in a data set. In SAS, this can be done for variable stored in adjacent columns with the "var_x -- var_y" syntax and for variables with sequentially enumerated suffixes with the "va...
Empirical Bayes Estimation of On Base Percentage
I guess you could call this On Bayes Percentage. *cough*Fresh off learning Bayesian techniques in one of my classes last quarter, I thought it would be fun to try to apply the method. I was able to find some examples of Hierarchical Bayes being used to...
A Very Data Christmas
This week Google announced its Ngram Viewer, which allows you to explore the use of words in thousands of texts overtime, going back two hundred years. Given the relatively long time period covered by this massive data set, it is fun to explore how language has changed overtime.
Some texts, however, seem to transcend time.
How to buy a used car with R (part 2)
Continued from Part 1.
Part 2: Digging into the Kelley Blue Book
The only thing better than a bit of data is a lot of data. Now that we can grab KBB values for a given trim of a given model in a given year, we set our ambitions higher: automating the collection of these values for...
Databases (SQL, noSQL); Interfacing R with Excel
Los Angeles R users group Dec. 14 2010 meeting (see meetup info here): 1. A SQL primer for R users – Neal Fultz Video and slides will be available soon 2. R Database Access – Shrikrishna Bhogaonker 3. NoSQL data … Continue reading →
Why Use R?
I use R very frequently and take for granted much that it has to offer. I forget how R is different from similar tools, so I have trouble communicating the benefits of using R. The goal of this post is to highlight R's main strengths, but first... my story.
How I got started with R
I was introduced...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
