Category Archives: R statistics

The perfect graph for every undergraduate statistics class, from Financial Times

I object to usage of “trend” to indicate “relationship” (for me “trend” implies over time) but that is just a quibble.  Perfect illustration of importance of visualizing data. PS. Doug Campbell reminded me of importance of a title for the … Continue reading

Posted in Development thinking, R statistics

Reading in PDF files into R to do text analysis

Turns out Clay Ford at the University of Virginia wrote a nice tutorial for this, and a package does the trick very nicely.  I tested the “update” at the bottom of the post which shows how to use the pdftools … Continue reading

Posted in R statistics

Stata gets a markdown package… will try this in coming weeks

Rigorous documentation of the analysis plan, procedure, and computer codes enhances the comprehensibility and transparency of data analysis. Documentation is particularly critical when the codes and data are meant to be publicly shared and examined by the scientific community to … Continue reading

Posted in R statistics

Non-citizens voting? Wonderful straightforward analysis from Ansolabehere, Luks, and Schaffner

Stepping back from the immediate question of whether the CCES in fact shows a low rate of voting among non-citizens, our analysis carries a much broader lesson and caution about the analysis of big databases to study low frequency characteristics … Continue reading

Posted in R statistics

Why use R instead of Excel or SPSS, for quantitative archaeology or any social science for that matter!

For a long time archaeologists had few options to deal with these problems because there were few alternative programs. The general alternative to using a point-and-click program is writing scripts to program algorithms for statistical analysis and visualisations. Writing scripts … Continue reading

Posted in R statistics

Something I need to remember…

reading a 100M csv file into R, read.csv takes 61s, and with read_csv in readr just 3s. That’s amazing. #rstats @hadleywickham a great job via Hadley Wickham (@hadleywickham) | Twitter.

Posted in R statistics

Microsoft to acquire Revolution Analytics

I’m very pleased to announce that Microsoft has reached an agreement to acquire Revolution Analytics. Revolution Analytics is the leading commercial provider of software and services for R, the world’s most widely used programming language for statistical computing and predictive … Continue reading

Posted in R statistics