In our department and various places on the Intertubes, SAS programmers set the HTML title tag (which sets the title in web browsers and on search engines) in ODS using the headtext option: ods html headtext="<title>My great report</title>" /* wrong! */ file="foo.html"; This may work in some situations, but it’s ugly and wrong. To see 
Coming from a background writing SQL code directly for “real” RDBMS (Microsoft SQL Server, MySQL, and SQLite), I was initially confused when SAS would give me the following ‘note’ for a simple summary PROC SQL query: 429 proc sql; 430 create table undel_monthly as 431 select 432 year(date) as year, 433 month(date) as month, 434 
The plot in section 7.3 has some problems. At the very least, the jittered values ought to be between 0 and 1, so the smoothed lines fit better with them. Once again we use the data generated in section 7.2 as an example. For both SAS and R, we use conditioning (section 1.11.2) to make the jitter happen...
Another "proof" that R definitely is one of mainstream statistical packages is the news that SAS will provide an interface to R via SAS/IML Studio (today known as SAS Stat Studio).
Working on top of someone else's code at work a couple of weeks ago I stumbled upon a piece of SAS code that went like this: length check 3; ... check = Name = 'Netter' Being raised in the land of open-source and having programmed in R since I was in ...
RKN over at Epidemiology blog had a small problem he solved using simulation:I have been interested in the following question: if there are, let's say, 5 genes involved in the liability of fx risk, and each gene has two alleles with one of them conferr...
From time to time, I'll complain about the weirdness of SAS, the statistical analysis program of choice for much of the pharmaceutical industry. This post is one such complaint.Why, oh why, does SAS not directly give us the asymptotic variance of the M...
The situation: you have two datasets with a common variable, and you want to incorporate both into one large dataset containing all of the variables. This is called merging data, and it’s easy to do in any standard statistical package. In these examples, I assume that there is only one variable between any datasets to 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
