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Category Archives: R statistics
In a program I am writing I want the same utility file to be run on different datasets and certain variables in the dataset. But the datasets have different sets of variables. So a nice Stata tip, adapted for my … Continue reading
The ideal job for every Econ major! You can follow Levin on Twitter here. Matt Levin is the data dude for CALmatters. His work entails distilling complex policy topics into easily digestible charts and graphs, finding and writing original stories … Continue reading
The folks at stackoverflow just dismissed this question. But is an honest and useful question to have answered, for some applications. And here is a good ttip from fentonsrule: This is something I learned on my own. If you create … Continue reading
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
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
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
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
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
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.
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
For some reason I spent a lot of time yesterday doing this: turn a list of variables into a list with doublequotes for each variable, then separated by commas. I confess I still do not really understand the logic of … Continue reading