On a recent visit to an In-House Users Group meeting at a Pharmaceutical company, I presented a 1/2 day seminar on creating Clinical Graphs using SG Procedures. Polling the audience for their experience with these procedures indicated that many SAS users are not familiar with these new ways to create graphs. So,
This is the 7th installment of the Getting Started series. The audience is the user who is new to the SG Procedures. Experienced users may also find some useful nuggets of information here. Starting with SAS 9.3 which was released 6 years ago, the SGPLOT procedure supports many new plot types including
SG Procedures and GTL provide you with a large set of plot statements, such as BarChart, ScatterPlot, BoxPlot and more. You can use them for the intended purpose, and all is well and good. However, the real fun starts when you leverage a plot to do something that was not
How long do dogs live? ... That's a good/tough question. Some live longer than others, but what are the determining factors? Let's throw some data to this problem, and see if we can fetch some answers! But before we get started, how about a random picture to get you into
The Rise of Skywalker, the final movie in the third set of the three Star Wars trilogies, will finally be released tomorrow (December 20, 2019). That's 9 movies, in about 42 years. And, if the first movies aren't still fresh in your mind (or perhaps you weren't even born when
The ODS Graphics software, first released with SAS 9.2, supported creating graphs directly from statistical procedures. Prior to this, very few statistical procedures created graphs on their own, and in most cases creating graphs was a post process or creating the graphs from the saved data using SAS/GRAPH procedures. With
When a plot is classified by one or more variables, the different classes values are displayed in the graph either by position or by using different plot attributes such as color, marker shape or line pattern. For plots that display the visual by a filled area (bar, bin, band, bubble,
Plot statements included in the graph definition can contribute to the legend(s). This can happen automatically, or can be customized using the KEYLEGEND statement. For plot statements that are classified by a group variable, all of the unique group values are displayed in the legend, along with their graphical representation
This post provides a general macro that enables you to easily display special characters (Unicode) in axis table columns.
In PROC GLM and most other procedures that compute LS-means, mean comparisons are now displayed graphically. This makes comparisons between a large number of groups easier to interpret.
