JMP Wish List

TomH · ‎01-23-2024

What inspired this wish list request? Plots look better if we right click > Customize... and order Grid Lines so they are drawn first. What is the improvement you would like to see? Change so that grid lines are drawn first (in background) automatically. Why is this idea important? Not critical, just helpful to make plots look better without extra manual steps.

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!

StarfruitBob · ‎03-31-2023

What inspired this wish list request? I've generated a map of a product I help to analyze in the graph builder platform. This map has local data filters and column switcher enabled. To see the entire area of the product map, I've set the x & y axis to the appropriate range, then used lock scale(1) in the script to make sure they don't change between filter selections. Lock scale also locks the scale of the legend, which is unfortunate when different metrics need to be looked at, and different areas of the product. What is the improvement you would like to see? Implementation of different locks for axis and legends. Why is this idea important? The purpose of legends is to add further information to a visualization. When it's locked into a range, the purpose becomes defeated because it cannot be fulfilled.

MShroff · ‎12-14-2022

Hello, Currently, the plot for Life Distribution (without Compare Groups) shows censored points in a plot that's offset above the main plot. However, the same feature does not appear to be supported for Life Distribution (with Compare Groups) and Fit Life by X. Can this be added to these two types of plots as well? Regards Mehul Shroff

MShroff · ‎12-14-2022

Hello, I'd like to request an option to plot all datapoints when using Life Distribution or Fit Life by X. Currently, it seems that if the total number of datapoints is greater than some value (1000?), the only one point is plotted per X-value. This can remain a default option but it would be helpful to be able to plot all points. With the current approach, it is difficult to gauge the number of points at each value. Regards Mehul Shroff

MShroff · ‎11-22-2022

Hello, I would like to request an enhancement of the Life Distribution dialog. Similar to what's available in Fit Life b X, can the Life Distribution dialog offer the user a choice of what fit / scale they want to start with? Currently, it defaults to non-parametric and requires additional steps to change to something else. This can take up a lot of time if the dataset is large. Thanks and regards Mehul Shroff

MShroff · ‎11-22-2022

Hello, I would like to request that the Fix Mixture command in Life Distribution be enhanced to enable JMP to fit the data with the best mixture possible as an initial / default option. The user can then choose to do something different if they prefer. Thanks and regards Mehul Shroff

Aziza · ‎11-17-2022

There is a degradation platform, but if we want to write a report, we need all the details for each step which is provided in ICH Guideline (Poolability, Model, Model Selection, ...). It would be great if we had such a platform.

axelrod1 · ‎02-04-2021

How do survival analysis with time-varying covariates in JMP 15?

ptolomey · ‎04-08-2020

In many cases accelerated reliability test conducted under more than one accelerated condition simultaneously: temperature, voltage, humidity and etc. Currently it is possible to use only one accelerated condition in Fit Life by X platform in JMP, used for assessment of accelerated reliability test parameters. Please consider to add more than one X variable to Fit Life by X platform. Such option is already implemented in Minitab software, see below screenshot of Fit Life by X platform in JMP and Accelerated Life Testing platform in Minitab side by side.

pmroz · ‎02-06-2019

In the Text Explorer platform there is an ID role, but it appears to be unused. I have large blocks of patient narrative text that are identified by case numbers. When I click on Show Text in the text explorer window the only way to know which narrative is shown is by the row number. It would be great if the variable selected by the ID role was shown above the block of text with the chosen word/phrase in it. Here's an example using the Aircraft Incidents sample dataset:

CKII

What inspired this wish list request? Please describe the current issue that needs improvement or the problem to be solved that is not easy or possible right now, with an example use case. The column switcher isn't always available and when it is available (specifically when using a "by" variable it does not update the spec limits when switching between stability parameters What is the improvement you would like to see? Please describe the idea for improving JMP. Please include mock-ups, wireframes, screenshots, scripts, other documents or examples from other software that help describe the change you would like to see. It would be great to use the column switcher when running stability with or without a by variable and have it rerun the analysis based on the correct specs in the column properties. Why is this idea important? Please describe the value to you and/or other users if the idea is implemented (for example, ease of use, must have,…). Currently have to create a script for every parameter of the stability program (14+ parameters) for each product in our pipeline it also makes it difficult to easily bulk export the information into a single document. it would be a huge timesaver to utilize a column switcher and add a journaling script to automate this process as can be done for other platforms.

wgardnerQS · ‎11-18-2024

What inspired this wish list request? Using the Life Distribution with process data that is randomly censored (left, right, or interval) and typically, but not always, well-represented by a Weibull distribution. The Life Distribution platform offers no means by which to objectively assess whether the data is in fact well-represented by the selected fit distribution(s). It provides AICC, BIC, and loglikelihood values by which to judge the relative merit of selected models on the dataset, but no test value that could be used, for example, to assess whether the fit is "good enough" to draw meaningful conclusions from the fitted parameters. The Distribution platform provides calculation of Anderson Darling statistic and p-value as well as plotting Lilliefors confidence intervals on a Q-Q plot for visual assessment. However, Distribution is not compatible with censored data. What is the improvement you would like to see? Provide an option to calculated Anderson Darling statistic and p-value for censored data in the Life Distribution platform as well as option to add prediction confidence interval to the main graph output by Life Distribution. Why is this idea important? The requested improvements would provide objective means by which to assess how well the selected model(s) fit the data and would be consistent with the assessment methods included in Distribution.

Matheus_Plana · ‎10-25-2024

As a JMP Partner in Brazil, I teach people how to use JMP to solve problems using data, and I’ve received some feedback on the language options available within JMP. While multiple languages are supported, Portuguese is not yet one of them. Including Portuguese would be a significant step toward expanding the JMP community in Latin America. Brazil is a huge market with tremendous potential! Although there are thousands of JMP users here, not all are fluent in English or Spanish. Our competitors’ software includes Portuguese support, which often makes it the preferred choice for some users. Adding a Portuguese option would greatly benefit the JMP community and increase adoption across Brazil. Thanks!

r40135 · ‎06-20-2024

What inspired this wish list request? Unlike other statistical software (Minitab), it seems that JMP doesn't provide detailed formulas for analyses. This lack of details and transparency can make it difficult for users to understand the underlying calculations. What is the improvement you would like to see? Provide more formulas for analyses where it makes sense to include them in the support documentation and in cases where formulas are quite complex, simplified formulas for simplified examples so the user can understand the concept. Why is this idea important? understand the underlying calculations, it is quite often to get request to explain the analysis, how do you derive this conclusion and what kind of analysis and fundamental concept formulas are being used in the analysis.

ConfidenceBee27 · ‎06-19-2024

What inspired this wish list request? When comparing designs/improvements during accelerated testing, the goal is to compress timing (hence accelerate) but not change the failure mode. Taking Weibull statistics, one aims to shorten the 'time' or eta while maintaining the 'slope' or beta. Weibull ++ software did this chart by showing a confidence region (say 95%) or map in a eta vs. beta plot. What is the improvement you would like to see? Enable ability to plot eta vs. beta in the reliability platform. Why is this idea important? This is the most visual way to see the effect of accelerated testing and avoid pitfalls.

MShroff · ‎04-16-2024

Hello, This is a request to enable support for a Validation column for Fit Parametric Survival / Fit Model (Personality: Parametric Survival). Other Fit Model personalities (e.g., Standard Least Squares, Generalized Regression) have this option but Parametric Survival does not. There is a workaround to support this through Generalized Regression using the Maximum Likelihood estimation method but supporting this in Parametric Survival would be more efficient. Thanks and regards Mehul Shroff

swami · ‎04-02-2024

What inspired this wish list request? Recurrence analysis platform can perform MCF difference between groups but the confidence interval is set at 95% and cannot be changed. @PatrickGiuliano suggested I add it to the wish list What is the improvement you would like to see? Provide the ability to change the confidence interval for MCF difference between groups. Even a script option in the recurrence platform like instead of just Plot MCF Differences( 1 ), if we can do Plot MCF Differences (1, Confidence Interval = 0.9) that would be great. Why is this idea important? It is awesome that we can do MCF differences between groups in JMP but setting the confidence at 95% seems needlessly restrictive.

tharsongoh · ‎02-06-2024

The idea came from 2024 RAM Conference, when one of the papers talked about fractional number used in reliability. So it looks like the fractional number is already supported for some of the reliability analysis tools. However when I tried running it by using fractional number on cost column of recurrence analysis input, the recurrence analysis tool did not like it (had error). We have been ignoring the fail denies (those failures with no faults found), but we know that there are some failures that had missing diagnostics to be able to catch them, and we would like to include those instead of just ignoring them completely. I am running jmp version 16.

vheber · ‎10-23-2023

Would like to be able to generate random values from a Weibull distribution where the threshold parameter is not 0.

JMP Wish List

Life Distribution plots - grid lines in background

Efficient Inclusion of Stability Study Baseline Results

Axis vs legend lock scale()

Life Distribution / Fit Life by X - Censored Points

Life Distribution / Fit Life by X - Plotting Large Datasets

Life Distribution

Life Distribution -> Fit Mixtures

Create a platform for detailed and structured analysis (based on ICH Guidline) for pharmaceutical stability analysis

Survival analysis with time-varying covariates JMP 15

addition of more than one X variable to "Fit Life by X" platform (Accelerated Reliability test)

Use the ID role in Text Explorer to identify blocks of text when Show Text is clicked

Degradation >> Stability Analysis Column Switcher

Life Distribution - goodness of fit

JMP in Portuguese!

provide detailed formulas for analyses

beta vs. eta chart

Validation column for Fit Parametric Survival

Allow changing confidence for MCF difference between groups

Add fractional number support for recurrence analysis cost column

Random Threshold Weibull