JMP Academic Series: Extending JMP with R and Python

In this webinar we explore the many ways to extend core JMP functionality through its integration with R and Python. • Who should watch? JMP users who need an analysis available only in R or Python, or users of R and Python who also want to make use of time-saving, interactive, and powerful features in JMP. Also JMP users who want to package a JMP GUI front-end for an R or Python routine, to allow other JMP users to “use” R and Python in a JMP point-and-click interface. • What can I expect to get out of the webinar? After watching this webinar you will understand how to connect JMP to R and Python, you will be able to create your own add-ins for JMP that take advantage of these connections, and you will know where to search for more examples and help on this topic. • How much JMP experience should I have? Intermediate knowledge of JMP recommended but not required. Generating Python Code — 3:32 Simple Python example — 9:07 Simple R example — 19:49 Add-In Example: T-SNE and UMAP — 25:00 JMP-to-R Add-In Builder — 32:45 Help and Resources — 40:36 Q&A — 44:55 Q#1 Which versions do I need for R and Python connection with JMP? — 45:02 Q#2 Can I connect JMP with SAS (and CAS and Matlab)? — 45:38 Q#3 Where can I download examples like the ones shown today? — 47:07 Q#4 Where can I learn R, Python, and JSL programming? — 48:15