Category: R

Why the ban on P-Values? Understanding sampling error is key to improving the quality of research.

The weight placed on p-values and significance testing has come under increasing criticism, with one social psychology journal banning their use entirely. Nicole Radziwill argues that many of the issues come down to sampling errors. Inferential statistics is good because it lets us make decisions about a whole population based on one sample. But inferential statistics is bad if your sample size is too […]

Abandon all hope, ye who enter dates in Excel

Big thanks to Kara Woo of Washington State University for this guest blog post! Update: The XLConnect package has been updated to fix the problem described below; however, other R packages for interfacing with Excel may import dates incorrectly. One should still use caution when storing data in Excel. Like anyone who works with a lot of […]

The future of statistical analysis is in open-source programming, not domain-specific proprietary software.

There is a rising demand for inference from data coupled with the arrival of new software and hardware technologies. Seth Brown evaluates the current availability of tools across different statistical languages, both domain-specific varieties such as R and Stata, and general … Continue reading