SAS Users
Providing technical tips and support information, written for and by SAS users.
Summarizing numeric data is an important step in analyzing your data. CASL provides multiple actions that generate summary statistics. This blog provides a quick overview of three of those actions: SIMPLE.SUMMARY, AGGREGATION.AGGREGATE, and DATAPREPROCESS.RUSTATS.
As a company, SAS consistently supports #data4good initiatives designed to help those less fortunate around the world. SAS Press team members recently took some time to reflect on the SAS initiatives that inspired them. We thought this would be a good opportunity to introduce some of the team who work
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In a previous post, Zero to SAS in 60 Seconds- SAS Machine Learning on SAS Cloud, I documented my experience with a SAS free trial on the SAS Cloud. Well, the engineers at SAS have been busy and created another free trial. The new trial covers SAS Event Stream Processing
Years ago I saw a line of SAS code that was really puzzling. It was a statement that started with: if 0 then … ; What? This was a statement that would always be evaluated as false. Why would anyone write such a statement? Recently, I was discussing with a
The RANK procedure (PROC RANK) is useful for ranking numeric variables in a data set across observations. You often see PROC RANK used to rank data into quartiles, deciles, or percentiles. This action requires that you use the GROUPS= option in the PROC RANK statement. This blog answers three questions