Improve the interpretation of your frequentist analysis output's strength of evidence by incorporating Bayes factor bounds using SAS.
CSV2DS is a new program I wrote in Go to help me create minimum working examples for SAS that can be shared as a single SAS script.
Zillow is a well-known website widely used by those searching for a home or curious to find out the value of their current home. What you may not know is that Zillow has a dedicated research page.
I frequently find myself needing to concatenate data sets but also wanting to be able to distinguish which row came from which data set originally. Introductory SAS courses tend to teach the in keyword, for a workflow similar to this:
I’ve recently needed to append several lines of data to a SAS data step that I collected and built via a shell script. For search-and-replace in bash I typically use sed, but this time I ran into a problem - sed does not like multiline shell variables.
Sometimes we have to deal with manually entered data, which means there is a good chance that the data needs to be cleaned for consistency due to the inevitable errors that creep in when typing in data, not to speak of any inconsistencies between individuals entering data.
I find myself needing to import CSV files with a relatively large number of columns. In many cases, proc import works surprisingly well in giving me what I want. But sometimes, I need to do some work while reading in the file and it would be nice to just use a data step to do so, but I don’t want to type it in by hand.