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
Following Sanjay's cue (see “R U Graphing with SAS”), I tried creating data driven multi-cell graphs using R. I played with the lattice and ggplot2 packages. I found ggplot2 simpler to understand and use than lattice, but there are probably some trades offs. Data-driven layouts are referred to as 'faceting'
Recently a user chimed in on the SAS Communities page, requesting a way to add some observation level annotation to a box plot. Wendy was delighted to see a graph created by the UNIVARIATE procedure called "Schematic Plot". In this graph, the box plot of the analysis variable is shown with
A common request we have been often hearing is for display of the distribution of data as a box plot, along with some detailed information overlaid. For example, one may have ratings data of all the hospitals in a region by different specialty, and you want to view this distribution
Last week I was out to the 2nd Conference on Statistical Practice in New Orleans. It was a great opportunity to meet many users of SAS, R and other software and hear about their projects in applied statistics. I will write up my feedback on this conference soon. In the
In the previous post on Violin Plots, we discussed the process to create custom density plots. This work was done in collaboration with SAS user James Marcus. This is the second installment on the same topic - Creating Density Strip Plots. We will use the same data and process to compute
In the previous post, “Roses are red, violets are blue…”, I discussed the general problem of getting style attributes to line up with specific group values and some ways to overcome the problem. In this installment, I want to elaborate on the attribute map functionality in the Graph Template Language
The graph showing the distribution of the maximum liver function test values by treatment for all participants in a study is commonly used for the analysis of safety data in clinical trials. The data is often structured in multiple columns (one per treatment) as below on the left, or grouped by
