Finlay Wilkinson Analysis
I am totally new to JMP and statistics. Can anyone share a learning material about Finlay-Wilkinson Regression and how to execute it in JMP15. We are going to use this in our field crop experiments. Thank you in advance!!
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view all learning resourcesI am totally new to JMP and statistics. Can anyone share a learning material about Finlay-Wilkinson Regression and how to execute it in JMP15. We are going to use this in our field crop experiments. Thank you in advance!!
Fit a KNN model to the Titanic Passengers dataset where "Survived" is the response and all other variables (except Name) are the predictor (X) variables. Set the validation to the validation column. Set the K to 15, and the random seed to 125. Based on the results, what is the optimal K (enter the numerical answer, e.g., 3) Titanic Passengers" JMP dataset
Hi folks, Longtime JMP Pro user here but fairly new to working with the k-Nearest Neighbors classification module. I'm working with a visible reflectance spectroscopy data set for a geological material classification (two-class) problem. I have a fairly well-optimized k-NN model at this point with a low misclassification rate on my test set. So far, so good. However, I am looking for a way to ...
I realize that this is a little bit off-topic, but still relevant with respect to JMP's degradation/stability platform. I was wondering how to estimate shelf-life from microbiological tests (aerobic plate count for example). Literature and ICH only tell me that "Qualitative attributes and microbiological attributes are not amenable to this kind of statistical analysis" (read " not amenable to line...
I have used the alternative cut-off probability confusion matrix add-in many times. Suddenly it is producing nonsensical results on some data sets. I verified that it still works as expected on an old data set. Attached is one of the recent data sets in which it does not appear to be working. The target variable is Stroke and I have a Validation column and a number of prediction model probabil...
dale_lehman
I am totally new to JMP and statistics. Can anyone share a learning material about Finlay-Wilkinson Regression and how to execute it in JMP15. We are going to use this in our field crop experiments. Thank you in advance!!
Hi folks, Longtime JMP Pro user here but fairly new to working with the k-Nearest Neighbors classification module. I'm working with a visible reflectance spectroscopy data set for a geological material classification (two-class) problem. I have a fairly well-optimized k-NN model at this point with a low misclassification rate on my test set. So far, so good. However, I am looking for a way to ...
I have used the alternative cut-off probability confusion matrix add-in many times. Suddenly it is producing nonsensical results on some data sets. I verified that it still works as expected on an old data set. Attached is one of the recent data sets in which it does not appear to be working. The target variable is Stroke and I have a Validation column and a number of prediction model probabil...
dale_lehman
https://www.jmp.com/support/help/en/15.2/index.shtml#page/jmp/example-of-ordinal-logistic-regression.shtmlHere, what do the beta and the significant p-value indicate? For every unit increase in duration ...?
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...
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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