JMP Academic Series: Extending JMP with R and Python

Описание: 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