JMP Wish List

ttreynor · ‎08-07-2018

I use the "Name Selection in Column..." feature all the time... I also delete the value of 0 in the "Unselected" field all the time so that any pre-existing values in my "Label" column will not be overwritten by that 0. When I first started using this fantastic feature I frequently made the mistake of hitting the Enter/Return key as soon as I finished typing a string into the "Selected" field... and each time I would lose all the data I had previously written to the "Label" column. I don't make this mistake anymore, but I'm sure many new JMP users do. I'd like to suggest that the default value for that "Unselected" field should be no value at all, consdering how relatively easy it would be to type "0" when that's actually (but rarely) the desired behavior, and how relatively dire the consequences can be when that is (almost always) not the desired behavior. This is currently what users see when they open this modal:

ttreynor · ‎08-07-2018

JMP for PC allows users to create new toolbar buttons, but JMP for Mac does not. It would be great to enable the PC feature set for Mac in a way that one Mac user's custom toolbars can be ported to both PC and Mac users in his org.

msharp · ‎08-01-2018

With the latest JMP 14 JSON Features: Parse JSON(); JSON To Data Table(); and JSON To List(); it would be really great if we could reverse this process. I would like to turn a JSL Associative Array into a JSON string. I realize there's a work around to turn a Data Table into a JSON string, but the most important of these features would be turning an AA into a JSON string.

kinsmen · ‎07-31-2018

JMP genomics and JMP clinical versions for MAC and Linux would be welcomed.

lucy_luo_conoco · ‎07-30-2018

I post my question here https://community.jmp.com/t5/Discussions/Filtered-data-function-didn-t-work-for-JMP-14-dashboard/m-p/64082#M34213 and attached video shows that filter is not interactive at all when I saved as interative html (although it is working in dashboard environment). hope this could be solved. thanks!

msharp · ‎07-30-2018

This would just be a bit of syntactic sugar that hopefully would provide a performance improvement over a JSL for loop. Currently there is only the ability to change one column name at a time. With the latest changes to JMP 14 I find myself hitting APIs more often. Unlike SQL I can't easily change the column name in the data pull. It would be nice to just change all the column names at once after pulling my data. I think this would improve user friendliness as well since most of the << Get statements have a corresponding << Set statement.

Gareeeesh · ‎07-30-2018

I think it would be useful to have a Find/Replace function to operate on output window chart names. For example: Chart Name = "Variability Chart for <Column Name>" Find: "Variability Chart for" & Replace with "" It would save us from having to script variability charts. Cheers, Gareth

statpharmer · ‎07-25-2018

It would be great to be able to identify baseline (time zero) results independently from the Label, System ID groups when setting up a stability study through Analyze>Reliability and Survival>Degredation>Stability Test. We run many stability studies for developmental pharmaceutical products. We often have several packaging configurations involved in the study. The initial (time zero) data is typically completed on bulk tablets at the time of manufacturing as part of the analytical testing of the tablet batch(es) used for packaging. The stability data comes from a different source and starts with the first pull from the stability chamber , which is usually at 3 or 6 months. It is very cumbersome to combine the data and replicate the baseline results to label for each packaging configuration. I beleive that this would be a great feature to add value for many customers interested in the platform. Please feel free to request sample data if needed to better understand the issue we regularly face. Thanks!

PatrickGiuliano · ‎07-22-2018

I think JMP does an excellent job in the case of the t-tests showing the sampling distribution of the mean difference under the null (for the case of the 2-sample t) and the observed mean difference relative to it; but why the scaling and horizontal axis orientation on these graphs graph? Why not set the scale values to be oriented vertically by default on all of these graphs? (and on the histograms for that matter in Analyze>Distribution)? I find myself always clicking in and modifying these axes manually; Can the development team please add this as an adjustable setting in File>Preferences in the next version of JMP? Default Axis (t-test) Modified axis (t-test) Default axis (histogram) Modified axis (histogram) The modified cases (vertically oriented values) are much easier to read and interpret don't you think? I ran this idea by Julian Parris at JMP and he confirmed for me that there is no way to do this in the current version of JMP 14. Thanks!

uday_guntupalli · ‎07-19-2018

All, I am learning SAS and I am geeked and super excited to leverage the interface that JMP has to SAS. As I was getting to set up some testing using JMP, I realised the following: Currently JMP allows the passing of a single variable from JMP into SAS as a macro using the SAS Submit function. However, I believe there will be a lot of benefit to allow passing of multiple variables or data objects like associative arrays into SAS. // Works ex = 1; SAS Submit( " %put &ex; ", DeclareMacros(ex), GetSASLog( True ) ); // Fails ex = Associative Array( {"red", "blue"}, {1, 2} ); SAS Submit( " %put &ex; ", DeclareMacros(ex), GetSASLog( True ) );

anne_sa · ‎07-19-2018

Hello, When we run the Fit Model platform with both random and fixed effect we have the possibility thanks to the Save Columns menu, to save residuals, predicted values... but also the conditional residuals and conditional predicted values (which take into account fixed and random effects). It would be great if we could also save the conditional version of the other columns such as the Studentized Residuals or the StdErr Pred Formula.

uday_guntupalli · ‎07-12-2018

I am hoping this feature exists, if not would be a great addition. I am looking for the ability to perform matrix operations using by variable. Currently this feature exists only in data tables as far as I am aware. Having this featute will enable sorting matrixes possible without using loops. A = Random Index(10^4,10^2); B = Shape(A,10,10); C = Sort Descending(B); // Fails since function only supports vector or list D = Rank(B);// Fails since function only supports vector or list

JohnTM · ‎07-12-2018

Within Graph Builder and axis settings, while having a nested x axis, the "Tick Mark Style" can be selected to various types, but the weight of the tick mark line can not be increased. If your boss is like mine, they want this line thickness increased for when the image is shrunk down, so as to remain visible, most notibly when using the 'interval tray' tick mark style.

shoffmeister · ‎07-11-2018

I'm currently working on some larger JMP-scripting projects where version control is a must. With JMP14 I started to work with projects. Committing & pushing my code to github manually is a bit of a pain. It would be great to have some very basic functionality like commit/push/pull integrated in JMP projects.

vince_faller · ‎07-10-2018

I want to add menu items to native JMP platforms without having to encasing it in a outline box or something like that. Like below Names default to here(1); dt = open("$SAMPLE_DATA\Big Class.jmp"); biv = dt << Bivariate(Y(:height), X(:weight)); bivr = report(biv); bivr << Set Menu Script({"something", print("something")}); //doesn't work unless I do this and then it gets rid of all of the native platform scripts bivr << Set Scriptable Object(Empty()); //I want to be able to do something like bivr << Add Menu Script(index, "name", script);

jszarka · ‎07-05-2018

The Variability Chart platform is the only one that provides the option to get Bayesian variance components. It feels misaligned to not have the Bayesian option available in Fit Model as well. I do get questions from users at my company around getting different output for the same analysis, but using a different platform because any negative variance component may switch from REML to Bayesian without them realizing it when using the Variability Chart platform (even though there is some text with an explanation, they don't know what it means and/or don't pay attention). My default is to use the Fit Model platform with bounded variance components for random effects models (there is a 'soft' recommendation from JMP to do this on the last section of Mixed Models and Random Effect Models. If the Bayesian option is available in Variability Chart, I'd like the flexibility to leverage it with a more flexible model structure in Fit Model as well. There has been some good work done by the JMP folks to investigate the utility of the Bayesian option (mostly because negative variance components are really confusing to, well, everyone). Here is one link, which looks at a Measurement Systems Analysis application. My assumption is that these principles can apply to all random effects models in general. Strictly Positive Estimates of Variance Components for Measurement Systems Analysis Models

jszarka · ‎07-05-2018

We teach many of our engineers about paired t-tests and use the Fit Y by X platform (rather than Matched Pairs) when the format of their data set is more suitable for Fit Y by X. There are 2 frustrating aspects: There is still an option for 't test' in the analysis, which does an ordinary two-sample t-test, which ignores the Block that you incorporated. Most engineers/scientists don't realize this. If the data is unbalanced by even 1 data point (e.g. I have 20 pairs, but there is 1 missing data point or outlier that was discarded), you get an error message saying the Blocking is going to be ignored. It's a somewhat confusing message for them, and I feel that most engineers/scientists just blindly keep following the platform output. If I had fit the same model using Fit Model, this slight unbalance in the data can easily be utilized to give the correct hypothesis testing output. I'd like to see the Fit Y by X output handle the unbalanced data when the correct model is rather straightforward.

abmayfield · ‎06-29-2018

I posted this to the community, but I think what I would like to do is not yet possible: in Graph Builder, you can "append" a URL to your graph. However, this hyperlink goes to the bottom left corner. I would actually like to place it WITHIN the graph (such as, over a certain icon), so that the reader/user can click on the icon, and it takes them to a webpage with more information about that sample. In other words, I would like the capacity to drag the hyperlink from its pre-designated position to somewhere else. Adobe Illustrator can do this once I have exported the JMP plot, but, if you want to then convert your image/plot to interactive HTML (which I do), it takes a lonnnnng time and requires slices and scripting.

abmayfield · ‎06-29-2018

Being an ecologist, I routinely switch back and forth between JMP and PRIMER, but, with each update of JMP, I can do more in JMP (and therefore less need for PRIMER). However, PRIMER has a multivariate, distance matrix-based algorithm called "distance-based linear modeling" (DistLM) that essentially works like stepwise regression (model selection by minimizing BIC/AICc) though with a distance matrix as the input. It is great for those looking to find the best model to explain similarity and differences between samples in a multivariate framework. I feel like JMP already has distance matrix capacity AND stepwise regression, and, although I know this is much more complicated than univariate stepwise regression, I think it should be possible to develop this technique in JMP (as well as the more commonly used PERMANOVA). Actually, it doesn't need to be DistLM, just any multivariate incarnation of stepwise regression. Pleassssssseeeeee.

Paul_J · ‎06-28-2018

The graph builder currently includes options to plot standard deviation (SD) or standard error (SE) intervals around group means. I'd like an option to plot "Least Significant Difference (LSD) " intervals around the group means. These intervals are approximately 1.4*SE, and non-overlapping intervals show means that are (approximately) significantly different. Many users interpret the current SD and SE limit to show statistical significance when they overlap; having an LSD options would provide better guidance. These intervals are currently available in several other statistical software packages. They can be generated in the Fit Model platform (Means Plot), but many users only use Graph Builder as it's faster for them. PS., Would also recommend using the pooled within-group SD for the LSD intervals.

JMP Wish List

Update "Name Selection in Column" modal so there is no default value for "Unselected" field

enhance JMP for Mac with PC like Toolbar Customization

JSL to JSON

JMP genomics versions for MAC, Linux

from dashboard to interactive html report, wish filtered function is working interactively.

<< Set Column Names() operation

Find/Replace Chart Name within Report/Output Window

Efficient Inclusion of Stability Study Baseline Results

Vertical X-axis Label Orientation [Change Default] on t-distributions and Histograms in JMP!

Allow passing data objects from JMP to SAS

Add Conditional Studentized residuals

Matrix Operations with By variables

Graph Builder: allow setting the tick mark line weight

Git(hub) Support for JMP scripting projects

Add Menu script along side native jmp platform menu items

Bayesian Variance Components in Fit Model

Paired t-test in Fit Y by X Platform with Unbalanced Data

mobile hyperlinks in Graph Builder

Distance-based linear modeling

Least Significant Difference Interval for Graph Builder Means