JMP selection shape -- Want a circle/oval instead of rectangle
This seems like a simple but important feature -- how can I change my select shape to an oval instead of rectangle? I know there is the lasso tool, but i want it restricted to an oval.
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view all learning resourcesThis seems like a simple but important feature -- how can I change my select shape to an oval instead of rectangle? I know there is the lasso tool, but i want it restricted to an oval.
In JMP 14, you could right click on the values in the output to obtain bootstrap confidence intervals. However, in JMP 15, this no longer appears to be an option. Does anyone know if JMP removed the bootstrap option completely or if they moved it to some other location?
Is there a way to train a random forest in JMP?or can we only do decision trees, boosted trees or boostrap forests?thanks!Sabrina
Scenario: I use validation data to tune my lasso penalty and now I want to refit to all of my data (training + validation) specifying that optimized penalty term. I can't see anyway to do that within the generalized regression platform. What is recommended here?
Hi All, l have a mixed model script with a fixed effect of fold dilution, at the moment in the output for Indicator Function Parameterization the baseline comparison is fold dilution 1, l would like this changed to fold dilution 256, does anyone have a snip-it code code so l can achieve this?? Thanks and Merry Christmas
This seems like a simple but important feature -- how can I change my select shape to an oval instead of rectangle? I know there is the lasso tool, but i want it restricted to an oval.
In JMP 14, you could right click on the values in the output to obtain bootstrap confidence intervals. However, in JMP 15, this no longer appears to be an option. Does anyone know if JMP removed the bootstrap option completely or if they moved it to some other location?
Scenario: I use validation data to tune my lasso penalty and now I want to refit to all of my data (training + validation) specifying that optimized penalty term. I can't see anyway to do that within the generalized regression platform. What is recommended here?
Hi All, l have a mixed model script with a fixed effect of fold dilution, at the moment in the output for Indicator Function Parameterization the baseline comparison is fold dilution 1, l would like this changed to fold dilution 256, does anyone have a snip-it code code so l can achieve this?? Thanks and Merry Christmas
Above is the model output. I'm not sure how I got the germination rate information to add to the regression plot.
The Predictive Modeling Using JMP Pro course is scheduled in the Live Web classroom 1:00 pm to 4:30 pm EDT, Monday-Thursday, 11-14APR2022. Learn how to build and understand predictive models such as generalized regression models, support vector machines, naive Bayes, decision trees, and neural networks. We'll also compare complex models and score new data in JMP. Click here for the course page and...
Dear JMP Community, (W10, 64-bit, JMP Pro 15.2.1) I am running a model to assess the active predictors. I am doing this by using the Autovalidation add-in to generate a Null Factor for my data. I then use the GenReg platform to find estimates for each possible X-factor and then Bootstrap those estimates to get a better assessment of the contributions to the response. I came across a very stran...
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