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JMP Wish List
We want to hear your ideas for improving JMP. Share them here.We want to hear your ideas for improving JMP software
We know that you have many valuable ideas on potential new features, or enhancements to existing features. You can use this Wish List to share your ideas, and discuss how to improve JMP, with other users across the globe.
Here's how to participate:
- Search: Please search for an existing idea first before submitting a new idea.
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- Submit: Post your new idea using the Suggest an Idea button. Please submit one actionable idea per post rather than a single post with multiple ideas.
We can’t implement everything, so please include the following to help JMP Product Management evaluate your ideas for consideration:
- 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.
- 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.
- 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,…).
would like to have added to an additional life distribution to show up along with standard list of Weibull, Exponential, Lognormal, DS Weibull, etc
the Cumulative Distribution Function for this life distribution is given by
F(t|p,a,y) = 1 - exp(p*exp(-t/a) - y t -p)
or expressed equivalently
F(t|a,y,x) = 1 - exp(ax*exp(-t/a) - y t - a x)
and corresponds to a hazard function starting at failure rate (y+x) which decays exponentially with time constant a to constant failure rate y .... here, the equivalent Defective Sub-population proportion p=ax in the limit that y is zero
have found that for some datasets, the BIC figure of merit for this life distribution is lower than that of other early/mid bathtub curve options
would like to have life distribution platform compute the standard set of estimates, covariance matrix etc for this three-parameter life distribution
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Can you please add platform preference on what distributions to use when you select fit all? Often times I only want to try and fit without distributions such as the SHASH and Johnson options. Thanks! Steve
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The ability to visualize lags would be appreciated. Assume there are two y variables plotted over time. Then a slider or maybe just a discrete lag option to visualize what lag provides a best visual alignment. This is an alternative to using the cross-product correlations in time series. And then to be able to automatically generate lagged variables of chosen lag.
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I noticed the "Simulator" option under the Prediction Profiler isn't available in JMP when I am trying to model a dichotomous Y ("Pass" or "Fail") as my response on one or more continuous (or categorical) predictors. Would it be possible to develop a model simulation platform option analogous to the one currently developed/deployed for a continuous Y but instead for a categorical (e.g. Pass/Fail) response? It turns out that in many cases without having an accurate means of measuring a "failure" response, we (in certain applications in industry) are left with nothing more informative than a Pass/Fail result, and being able to explore the predictor space on that Pass/Fail rate in a simulation framework in tandem with the Prediction Profiler would be quite useful! I discussed this topic with @philramsey today and he also sees the utility for this application. Thank you!
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Hello:
Can future releases of JMP include a confidence interval for reliability estimates (like McDonald’s Omega) that is being reported in the SEM platform? This will be useful to know besides just a point estimate.
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Hi to all of you. I just saw in the presentation from Ross Metusalem in his tal on Discovery Summit that his laserpointer within JMP was accurately rectangular and/ or a wonderful arrow. He told me that this is due to a separate app on his Mac. From my oppinion it would be realy cool having this incorporated into JMP itself. What do you think about it? Kind Greetings an stray healthy Egon
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Add graph(s) to Text Explorer to help user decide on optimal number of topics to select. Some possible methods are: Randomized SVD (RSVD), Parallel Analysis (PA), Bi-Cross Validation, Perplexity scores (see attachment). A scree type plot vs number of topics would be helpful where an inflection point would signify the chosen number of topics.
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Sometimes I just dont want to see a point and/or exclude it from the calculations without data table rows/columns actions. The option of "Exclude/Hide data point" localy as Local data filter does will be great.
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I am using data from an industrial facility that uses Adroit for logging instrumentation and other control data and the file postfix is: .LGD and the indexing file is .LGI; Is there currently a shortcut to importing this data into JMP. The SQL server which was utilized to store the data crashed and is in the process of being restored. This would restore the ODBC format access sometime in the future, but, for now, I have a challenge. Any help or suggestions would be welcomed.
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Can we have the option for specifying a range (e.g., 2-6) for the number of factors in exploratory factor analysis? It is trivial if you are using syntax but would be a good option for users not writing JMP script.
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The response screening platform, for example, produces plots where each point effectively represents summary characteristics of an x-y plot. It would be nice to see those x-y plots as a hover graphlet when users hover over each point. This could be on by default in the platform or could be a platform-specific graphlet option. https://community.jmp.com/t5/Discussions/Fit-Y-by-X-graphlet-in-response-screening-platform/m-p/363968/highlight/false#M61363 Thanks to @nascif_jmp for providing the solution.
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There are at least 9 different ways to calculate quantiles. JMP only supports one of them (Weibull estimate). Requesting that other options be supported and user choice allowed for selecting which option is to be invoked. Other SAS tools appear to support multiple options. Based on a 1996 paper (Hyndman and Fan, "Sample Quantiles in Statistical Packages", The American Statistician, Nov. 1996), the Unbiased Median approach is considered to be the most robust. Here are some relevant links that provide further details.
https://mathworld.wolfram.com/Quantile.html
https://en.wikipedia.org/wiki/Quantile_function
https://analyse-it.com/blog/2013/2/quantiles-percentiles-why-so-many-ways-to-calculate-them
Thanks and regards
Mehul Shroff
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0
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The options given by the hover label editor are very interesting. I think it's great that the information displayed can be customised. However, it would be useful for the hover label editor to be more intuitive. In particular I found difficult to navigate through the Gridtlet section. Maybe something that would allow to select the information so it can be added or removed rather than having to input manually?
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- JMP 16
Text explorer is a very exciting platform, however it doesn't seem to have the same interactivity than other JMP tools and I really missed it when creating dashboards. It would be great if the word cloud would react and change depending on the selection on the other graphs. At the moment you can only right click on a word and select rows. This allows you to see the selected rows in the other graphs, but it doesn't work the other way round. On top of that, this possibility disappears when converting the dashboard into an interactive HTML.
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Status:
Delivered
Submitted on
02-04-2021
01:47 PM
Submitted by
danielrbiber
on
02-04-2021
01:47 PM
My department recently purchased JMP Live and we were hoping to have the ability to add a report to an existing report folder. Currently the "replace" button only allows for exchanging reports present in the folder and not simply adding them. To append in a new report, the user must rerun all existing reports and then "replace" with all the previous reports as well as the additional report. The solution should allow users run a new report and while publishing, select an existing folder or report to add the current new report to.
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- JMP 16
When clustering geocoded data, heading (i.e. the angle of travel relative to 0º North) is often a relevant variable. However, this being a circular metric, where the scale's extreme values of 0 and 360 degrees are actually the exact same direction, problems for classical clustering algorithms are created around this scale break point. Algorithms will wrongly interpret adjacent headings on either side of the 0/360 degree mark as maximally distant, when in fact they are minimally distant. The way I get around this is to decompose heading angles into a sine and a cosine, whose combined outputs ensure measuring continuity for a complete cycle. But this has drawbacks that I'd rather avoid: It adds one more variable in need of clustering, plus my math knowledge doesn't go far enough to allow me to ensurethat the phased senoidal outputs of sine and cosine are clustered at constant rates for all angles (as opposed to, say, spiking around diagonals where sines and cosines vary at similar rates). So here's my ask: how about having JMP appropriately cluster angular data without the need for intermediary transformations? Thanks!
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I would like to be able to check how much longer I have on my license before it expires and if that reaches a certain treshold I want to be able to load a new license file. By making this JSL scriptable we allow more options such as webservers (github for example), or even license files embedded within scripts and not just the file share option that is within the preferences right now.
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It would be helpful to be able to change the default # of levels for the group X binning as well as be able to save out the current binning from the graph to a new column (similar to the name selection in column).
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I'd like to have the ability for the minimum split size for tree models to be based upon a % of the training sample size vs a integer number. So for example I could ask that the minimum split size would be 10% of the training samples size, rounded up.
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I'd like to see the process screening platform be able to recognize columns assigned as non-normal and be to use these columns in the analysis. Right now only normal data columns can be used.
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Data Exploration and Visualization
549 -
Automation and Scripting
440 -
Mass Customization
325 -
Data Access
236 -
Basic Data Analysis and Modeling
229 -
Data Blending and Cleanup
221 -
Content Organization
176 -
Sharing and Communicating Results
164 -
Advanced Statistical Modeling
141 -
Quality and Process Engineering
117 -
Predictive Modeling and Machine Learning
105 -
Design of Experiments
89 -
Reliability Analysis
59 -
Consumer and Market Research
41
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