In my previous post, I described a new options to control the widths of the caps for Whiskers, Error and Limit bars. This topic could have been titled "Little things go a long way", as such details really make for a good graph. In a similar manner, another detail issue
The series plot is a popular way to visualize response data over a continuous axis like date with a group variable like treatment. Here is some data I made up of a response value by date, treatment, classification and company that makes the drug. The data is simulated as shown in the attached program
Recently we discussed the features of the Shiller Graph, showing long term housing values in the USA. To understand the features necesary in the SGPLOT procedure to create such graph easily, it was useful to see how far we can go using GTL as released with SAS 9.2(M3). I got the data Shiller Housing index data
