Pearson’s product-moment correlation, \(r\), is an incredibly useful tool for getting some idea about how two variables are (linearly) related. But there are times when using Pearson’s \(r\) is not appropriate and, even if linearity and all other assumptions hold, … Continue reading →
By default when you start R, T and F are defined as TRUE and FALSE. When I review other people’s code, I often see functions defined with arguments set to these values by default. This is a very bad idea. … Continue reading →
People who have been using R for any length of time have probably become accustomed to passing functions as arguments to other functions. From my experience, however, people are much less likely to return functions from their own custom code. … Continue reading →
Last week markbulling over at Drunks & Lampposts posted a method of using sapply to filter a list by a predicate. Today the @RLangTip tip of the day was to use sapply similarly. This made makes me wonder if R‘s … Continue reading →
After entirely too long, I am happy to announce the beta release of boolean3, an R package for modeling causal complexity. The package can be downloaded at the following links: Unix/Linux: boolean3_3.0.20.tar.gz Windows: boolean3_3.0.20.zip (Please let me know if you have any … Continue reading →
I have been working on a new package makeR to help manage Sweave projects where you wish to create multiple versions of documents that are based on a single source. For example, I create lots of monthly and quarterly reports using Sweave and the only differences between versions are a few variables. I have used GNU
I have become quite a big fan of graphics that combine the features of traditional figures (e.g. bar charts, histograms, etc.) with tables. That is, the combination of numerical results with a visual representation has been quite useful for exploring descriptive statistics. I have wrapped two of my favorites (build around ggplot2) and included them as part
I will be teaching a workshop on R and LaTeX at NEAIR in just under a month. One of the issues I will encounter is a lack of Internet access. I also work with restricted data from NCES which requires the computer to be secured including no network access. As such, I need to manage software from removable
Like many users and producers of R packages, I have never had any formal training in computer science. I’ve come to to the conclusion that this is a serious omission in a professional researcher’s training. Computer scientists and professional hackers … Continue reading →
I’ve recently been spending a lot of time running various simulations in R. Because I often use snow to perform simulations across several computers/cores, results typically come back in the form of a list object. Summarizing the results from a list … Continue reading →
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
