Publications by Jonathan Callahan
Learning R — Documentation
We use R a lot. R takes care of many our basic data management needs. R is an awesome statistical analysis package. R allows you to produce exceptional data graphics. The only problem is … R has a wicked learning … read more … Related To leave a comment for the author, please follow the link and comment on their b...
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Learning R — Installing Packages
One of the reasons to use R for analysis and visualization is the rich ecosystem of ‘packages’ contributed by others. In most cases, just as with smartphones, “There’s a package for that.” If you want to be efficient you need … read more … Related To leave a comment for the author, please follow the link and comme...
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Using R — Standalone Scripts & Error Messages
Open-source R is an amazing tool for statistical analysis and data visualization. Serious R gurus have found ways to do just about anything entirely within the R environment. Nevertheless, there are many of us who wish to plug R into … read more … Related To leave a comment for the author, please follow the link and comment...
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Using R — Basic error Handing with tryCatch()
The R language definition section on Exception Handling describes a very few basics about exceptions in R but is of little use to anyone trying to write robust code that can recover gracefully in the face of errors. In fact, … read more … Related To leave a comment for the author, please follow the link and comment on their...
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Using R — Easier Error Handling with try()
In a previous post we looked at error handling in R with the tryCatch() function and how this could be used to write Java style try-catch-finally blocks. This time we’ll look at what can be done with the try() function … read more … Related To leave a comment for the author, please follow the link and comment on their blo...
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Using R — A Script Introduction to R
To many people, R is like the Everglades. They’ve heard of it, they know it’s big and has amazing treasures deep inside. Articles in the media can make it look irresistible. But after a personal or even second hand experience … read more … Related To leave a comment for the author, please follow the link and comment on ...
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Using R — Calling C Code ‘Hello World!’
This entry is part 6 of 11 in the series Using ROne of the reasons that R has so much functionality is that people have incorporated a lot of academic code written in C, C++, Fortran and Java into various packages. Libraries written in these languages are often both robust and fast. If you are using R to support people in a particular field, ...
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Using R — .Call(“hello”)
This entry is part 10 of 12 in the series Using RIn an introductory post on R APIs to C code, Calling C Code ‘Hello World!’, we explored the .C() function with some ‘Hello World!’ baby steps. In this post we will make a leap forward by implementing the same functionality using the .Call() function. Is .Call() better than .C()? A heated ...
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Using R — Callling C code with Rcpp
This entry is part 12 of 12 in the series Using RIn two previous posts we described how R can call C code with .C() and the more complex yet more robust option of calling C code with .Call(). Here we will describe how the Rcpp package can be used to greatly simplify your C code without forcing you to become expert in C++. First off, kudos to Di...
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Using R — Packaging a C library in 15 minutes
This entry is part 14 of 12 in the series Using RYes, this post condenses 50+ hours of learning into a 15 minute tutorial. Read ‘em and weep. (That is, you read while I weep.) OK. For the last week I’ve been learning how to call C code as documented in previous posts: Calling C code “Hello World!”, .Call(“hello”) and Calling C...
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