Blog Archives

RStudio Server: accessing the RStudio R IDE through your browser

I like having all my important documents and scripts in one single place. This saves me from having to synchronize them between the different workplaces I have, and makes backupping much less of a pain. One way of achieving this

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Converting grads files to NetCDF from within R using CDO

A while back I wrote a blog post on the R package I wrote for reading and manipulating grads data. The library is quite basic, and does not support a number of grads data file options: Using one ctl file,

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RStudio does not start when using a R version built from source

Because I do not have root privileges on some of the machines I use, I build part of my software from source and install it into my own homedirectory. Doing that requires one to download R from CRAN, e.g. R

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Comparing StackOverflow and the R-help mailing list

Only recently I discovered StackOverflow. I know, as a nerd already programming for many years that is quite late. For those who are not familiar with StackOverflow (aka SO), it is a Question and Answer site for programmers. It is

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Parallelization using plyr: loading objects and packages into worker nodes

I really love the plyr package. Apart from having a progress bar and plyr handeling a lot of the overhead, a very interesting feature is being able to run plyr in parallel mode. Essentially, setting .parallel = TRUE runs any

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RStudio: a cross-platform IDE for R

Which text editor do you use? Once in a while this question pops up on the R-help mailing list. Up until recently I used the KDE text editor Kate under Linux. Recently, I came across a new text editor for

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readGrads – An R package to read and manipulate grads data

I created an R package to read grads data. As far as I know, there is no dedicated package to read grads data. The package is still quite new, any remarks on the documentation or code are more than welcome.

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Drawing polar centered spatial maps using ggplot2

Drawing maps of the polar regions can be done using square spatial maps. A small example says more than a thousand words:

The final call to ggplot results in the following picture: A much more natural way of plotting

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Etiquette on the mailing list, to RTFM or not to RTFM

Sometimes people ask very basic questions on the R-help mailing list, which could have easily been answered by reading some R manual or doing a quick Google search. Responses on the mailing range from people answering the question to “Please

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Comparison of ave, ddply and data.table

This is a copy of a post by me on the R-statistics blog. Fortran and C programmers often say that interpreted languages like R are nice and all, but lack in terms of speed. How fast something works in R

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