SAS® Structural Equation Modeling for JMP® is a new application that enables researchers to use SAS and JMP to draw models by using an interface that is built on the SAS/STAT® CALIS procedure. To create models in SAS Structural Equation Modeling for JMP, you simply drag variables into the diagram
JMP 9 introduced an add-in architecture that makes creating and distributing extensions to JMP easy. This makes JMP a platform for creating new analytic tools. It also makes it easy to add new functionality. Creating a JMP add-in is pretty simple. All you need to know is JMP Scripting Language
Last week, SAS and JMP hosted Interface 2011: Statistical, Machine Learning, and Visualization Algorithms, 42nd Symposium on the Interface. The deep statistical issues were mostly over my head, but I found enough discussion of visualizations to keep me interested. Leland Wilkinson shared his recent research on Venn diagrams, which may
JMP Product Manager Jeff Perkinson presented the April 14 Mastering JMP session, Using Geographic and Custom Maps. I divided his demo into three parts for you to watch at your leisure. By default, JMP installs map files in a Maps directory. Each map consists of two JMP data files with
Basic statistics webcasts always draw a large crowd, new questions and interesting tips. Sam Gardner’s April 7 webcast was no exception. Sam started with distributions. He mentioned the CTRL broadcast command, where for certain reports, holding the CTRL key, clicking the red triangle and then selecting the command applies the
In 1962, a psychological experiment was performed on 30 students. Thankfully, no one was delivering or receiving electric shocks (as in the famous Milgram experiment that was carried out in 1961). Instead, each student was asked to look at pictures of a woman making faces and rate the facial expression
On March 10 in her Mastering JMP live webcast, Dara Hammond demonstrated techniques for visualizing data using dynamic graphics. She shared ways to modify, customize, export and animate graphs; manipulate graph axis settings, points and display characteristics; and use the shape and geographic mapping functions to plot results. As promised,
In regression problems, we are often faced with choosing a set of predictor variables from what may be a very large set of candidate predictors. When building our model, we want to find a meaningful set of predictors that yields accurate predictions. Classical methods like forward selection and all-subsets regression
Everyone who works with multivariate data has dealt with the problem of how to show more than two dimensions at a time on a typical computer display. JMP has many options available for visualizing and analyzing multivariate data, including Scatterplot Matrix, Parallel Coordinates, Clustering and more. Another graphical technique from
Interested in JMP Pro predictive analytics software? Here are links to items that Solution Manager Ian Cox covered in his Feb. 17 live predictive modeling webcast. To access some of the items, you will need to complete a registration form or use your SAS profile to log into the site.