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| Some [additional research][1] and some inspired guessing has led to progress. Here is a generalization of the code to the case of multiple vectors. If the vectors in v are perfectly orthogonal, then the code appears to generate a vector that has... |
| This problem is a problem about FeatureExtraction that arose in the course of training a neural network where the data contains a mixture of nominal and numeric variables. The problem in a nutshell is trying to find a map between the parts of the... |
| It's extremely easy. The term "moderator variable" so far as I can determine simply means that the basis functions of the regression should not simply be the variables themselves. Suppose, for example that the effect of the x dependent variable on... |
| Anyone have ideas on the fastest way of getting the dimensions (number of coordinates) out of any Wolfram Language distribution. For some types (CategoricalDistributions) it is easy. And if a RandomVariate can be generated, it is easy too. But for... |
| If you'd like any guidance, let me know. Although I am not at Jan Mangaldan level, I've done a bunch of these. There's a very useful "Check" button at the top of the template notebook that will make sure you comply with the style guidelines. I also... |
| Thank you very much, Jim. I had tried similar methods but had never been able to reproduce the Wolfram computation. Wolfram Statistics folks: I am insufficiently expert in statistics to judge whether the Wolfram method or the R/SAS method is... |
| If you are willing to wrap your matrix in Grid, you can do something like this: Grid[RandomInteger[{1, 8}, {11, 11}], Background -> {None, None, {{{4, 7}, {6, 9}} -> LightRed}}] |
| Here's a file. I believe it is close to correct, but I am still trying to figure out why the answer differs from that using Fit with Regularization, so it is quite possible I am doing something wrong. I have not had time to work through the issues,... |
| I agree. Yes you can reconstruct it, but why should you have to? Perhaps an ANOVAAssociation property could be added that included this information. Also, in general the various "...Table" properties of the FittedModel and related objects should be... |
| Thanks. I am aware of the upgrade to Fit to permit regularization. It works just fine. Two wishes: (a) regularization would also be added to the more modern LinearModelFit, LogitModelFit, etc so I could take advantage of their greater capabilities... |