JMP User Community

Latest Discussions

Sidak correction for t test

Dear fellows of the community, I would like to ask you if anyone knows of a way to produce multiple t tests corrected by the Sidak correction? https://en.wikipedia.org/wiki/%C5%A0id%C3%A1k_correction_for_t-test In particular, I would like to use it in a context of multiple regression for comparison between categories. For example, using the big class data table and running the following model: hei...
ron_horne

Discussions |
Oct 26, 2020 2:11 PM

2862 views | 2 replies
Process Screening on I-MR, control limits from within stdev?

Simple question. Just curious if the within stdev on the IMR version is used for limits (in the absence of a specified sigma). I'm 99% sure they are, just wanted to confirm, and didn't see this in the process screening report notes.
Evan_Morris

Discussions |
Oct 23, 2020 11:22 AM

3986 views | 5 replies
Need Slides/ recording link for "Advanced Use Cases of the Bootstrap Feature in JMP Pro"

Hi there, Need slides/ recording link for "Advanced Use Cases of the Bootstrap Feature in JMP Pro" presented by Michael Crotty, Research Statistician at JMP. Please share if you can..
nil

Discussions |
Sep 25, 2020 10:16 AM

1863 views | 2 replies
Interpretation of leverage plot axes

Hello,
I am trying to understand how to interpret the leverage plot axes-- specifically why negative x and y values are plotted when my data have none of these. I understand, I supposed, that negative y values could be the result of model uncertainty, but why the x values? For sake of discussion, if it matters, I am running a multiple regression of rainfall amount (cm), development level of watersh...
atwee

Discussions |
Sep 22, 2020 12:11 PM

2866 views | 3 replies
How to Interpret: Generalized Regression Model with Binary (Categorical) Variables

We’re fitting a model that tests the efficacy of a treatment (e.g., a pharmaceutical product). The DV is Recovered, a binary variable (0/1), defined as numeric nominal. The research question is whether the treatment affects the expression of a precondition and thus improves recovery. We expect that people with certain level of the precondition will react differently to the treatment, i.e., an inte...
Juter

Discussions |
Sep 17, 2020 2:51 PM

5077 views | 7 replies

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Latest Discussions

Sidak correction for t test

Dear fellows of the community, I would like to ask you if anyone knows of a way to produce multiple t tests corrected by the Sidak correction? https://en.wikipedia.org/wiki/%C5%A0id%C3%A1k_correction_for_t-test In particular, I would like to use it in a context of multiple regression for comparison between categories. For example, using the big class data table and running the following model: hei...
ron_horne

Discussions |
Oct 26, 2020 2:11 PM

2862 views | 2 replies
Interpretation of leverage plot axes

Hello,
I am trying to understand how to interpret the leverage plot axes-- specifically why negative x and y values are plotted when my data have none of these. I understand, I supposed, that negative y values could be the result of model uncertainty, but why the x values? For sake of discussion, if it matters, I am running a multiple regression of rainfall amount (cm), development level of watersh...
atwee

Discussions |
Sep 22, 2020 12:11 PM

2866 views | 3 replies
Partition Modelling: What dictates Minimum Size Split?

I am not a de facto statistician but have gained much experience in biostatistics over many years, thanks largely to using the standard version of JMP (currently v13). I certainly cannot imagine using anything else and regularly promote it.I am presently progressively defining partitions in a variety of continuous variables to optimise outcome in a binomial categorical variable (fail versus pass)....
34South

Discussions |
Aug 30, 2020 2:02 PM

4642 views | 4 replies
confusion matrix and performance meassures

At present in JMPpro, the only performance meassure automatic calculated from the confusion matrix from a model is the misclassification rate and eventually the AUC of the ROC. Other meassures such as Fase positive and False negative rates, sensitivity , specificity, negative and positive predictive value, precision/recall (= F1-score) and MCC are commonly described in ML literature and are very ...
Lu

Discussions |
Aug 22, 2020 9:55 AM

3547 views | 1 replies
Models with weight

Hi I'm trying to find a correlation between some X predictors and a continuous response variable strongly skewed on the right. The database contains 140 instances only. First of all I transformed the response variable by using the function lnx+1. Then I normalized all the x in the range 0 and 1, reduced the dimensionality with the screening option and then removed the correlated predictors X. At t...
FR60

Discussions |
Aug 9, 2020 2:10 PM

2737 views | 3 replies