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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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- Subscribe: Follow the status of ideas you like. Refer to status definitions to understand where an idea is in its lifecycle. (You are automatically subscribed to ideas you've submitted or commented on.)
- 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,…).
When I run the Life Distribution platform and create a model, there is an option to do a custom estimation. It would be good to have an opportunity to do a conditional probability calculation, in that the item has already run to time X and what is the likelihood of surviving to time Y? This would require one more input, maybe called "starting point" or something along those lines.
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Would like a new column property (analagous to Range Check and List Check) for character columns. It would (interactively) validate column input against a pattern specified as a regex or as a search string, and reject input that failed to match the desired pattern.
My purpose is to make it less error-prone when manually filling out tables with data like id's, names, etc. that are supposed to conform to a know pattern.
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In a large table with hundreds of columns, I need to have more flexibility in grouping columns. I'd like to be able to have column subgroups (group hierarchies). (Would also be nice to have table script group hierarchies.)
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I tried the demo and this is what I really missed in the software - k - fold cross validation and LOO cross validations in Discriminant analysis. - Display RMSE value and other indicators (AICc BIC) to assess the model would be nice. - Give the possibility to randomly select training versus test dataset (not only in JMP Pro but also in standard soft). - Also, I noticed we can't change the color of the ellipse (confidence ellispe) of each group, which is an anoying issue when you use custom colors for each group as they don't fit with the ellipse color. (but I loved the options for markers' shape/color). - Last, please make the graph menu bar (to save / export your canonical plot and other graph) appears by default. Took me hours to find how to do it and export a graph. Thanks!
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When you change something on preferences-->platforms and hit apply, it should be possible to see what the changes are without closing the preferences!
This way it would be possible to see what each setting is doing to the evaluation. this future is blocked at the moment, as soon jmp preferences are open, you can not work on JMP anymore until you close the window (to reopen it again, ....)
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In Fit Model reports, show next to each LS Mean, the actual number of observations used to calculate it (as the "Number" next to each mean in "Fit y by X"). This information is especially important when the model is re-analyzed (often several times) after suspected outlier data point(s) is/are excluded or un-excluded.
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Batch processes have different phases (e.g. loading, waiting, pre-heating, reaction, cooling, curing, unloading).
Dynamic time warping can be very tricky if you try to align all those phases at once. The alternative is not pleasant, as you have to create a model per phase.
As a record of these phases is available (in a separate column), it should be easier to pass this information to the FDE platform so the dynamic time warping algorithm knows what pieces need to be aligned.
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For character columns, the Distribution Platform has an option to Test Probabilities. The Hypoth Prob column that is displayed and manually entered, needs to have an option to split the Probabilities equally among the categories displayed. This option is a very common selection and would make the usage of this analysis a much friendlier tool.
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It'd be great if there was a simple checkbox option to prevent a script from being accidentally deleted from a data table. I've had Operators unintentionally delete scripts in the past, and this option would have saved a little time/heartache.
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Don't make me get SPSS - include an ANOVA with a correction for unequal variances (not to test IF there are unequal variances but to actually run the ANOVA when they ARE unequal variances)
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The idea is to add an option to allow users to display a multivariate correlation factor directly in Graph Builder, as can be done for RMSE or Rsquare with Line Of Fit for instance. This would help in instances where one wants to show that some linear correlation exist in some sampling locations while it is not the case in others. An anonymised example has been attached for more clarity. It is of course possible to make a dashboard with the multivariate results and Graph Builder but I don't find this ideal for Power Point presentations. I appreciate that the correlation factor can also be added manually on the Graph Builder but this can be time consuming when there are numerous plots.
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Under Tables > Stack, the option for "multiple series stack" is very helpful in some data situations. Would it be possible when "multiple series stack" is selected to have a preview box to show where the columns would go for the two options: (1) every nth column vs (2) n columns in a row (contiguous)? If Number of Series is used, preview panel box would show which columns would go in 2, 3, ... n groups, or highlight the first of the series in the upper column dialog. So if 3 was entered, the 1st, 4th, 7th, etc column selected would be highlighted above to safe space. If Contiguous is checked, would show which columns in how many groups of contiguous columns are being stacked. From the JMP on Air topic: https://community.jmp.com/t5/JMP-On-Air/The-Tables-Menu/m-p/261014#U261014
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I wish JMP has "Econometrics and Time Series Analysis" capability/functionality. This is quite basic, even SPSS has it. Or, maybe I am missing something?
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Just watched the JMP on Air segment on Statistics Index, The Statistics Index. I like to tell new JMP users about it in JMP classes.
Would like to suggest adding a filter like in the Scripting Index or Preferences. Right now in the Statistics Index you can start typing in the menu to find something, but it is a first character look-up. I search for Steel-Dwass and find it, but if I only remembered something like "Dwass", then it will not show. Or say you want to find any topic on "design", it is scattered throughout the index like "experimental design", "factorial design", "fractional factorial...", etc.
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Status:
Not Planned For Now
Submitted on
04-08-2020
08:53 AM
Submitted by
US
on
04-08-2020
08:53 AM
Dear members of the JMP Team,
May I suggest to implement the QUADE test in the portfolio of the statsitical tests offered by JMP:
This test is especially heading at low or very low sample sizes (down to n = 5).
Many thanks for condering my suggestion.
Happy Easter,
Ulrich Schiefer
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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.
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Could you please support opening Excel password-protected files? Thanks!
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The Summary function is not flexible enough for users to be able to calculate various statistics (for e.g. Mode) using the group-by method, making it a pain in the neck to use. Other software packages like R and Python can easily allow the function to be performed on group-by data.
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It would be helpful to be able to identify column types (numeric, character) or column format when importing Excel files. There can be some columns where you want to force them to character (i.e. serial numbers that begin with a 0) or a column which is a date time, and you want it to appear only as a date. These features are available for CSV files, but not Excel files, so it seems like something that could easily be applied.
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I want tableboxes that use ColSpanBox to name the columns better when interacting with `<<make into data table`. Currently it just takes the lowest column name.
dt = Open("$SAMPLE_DATA\Big Class.jmp");
new window("Row Borders",
tblbox = tablebox(
ColSpanBox("1",
NumberColBox("age", dt:age << Get Values),
StringColbox("Sex", dt:sex << Get Values),
),
NumberColBox("Height", dt:height << Get Values)
)
);
tblbox << Make into data table();
The behavior that tabulate does would be fine by me.
(dt << Tabulate(
Add Table( Column Table( Grouping Columns( :sex, :age ) ) )
)) << Make Into Data Table
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Data Exploration and Visualization
553 -
Automation and Scripting
443 -
Mass Customization
326 -
Data Access
236 -
Basic Data Analysis and Modeling
234 -
Data Blending and Cleanup
224 -
Content Organization
179 -
Sharing and Communicating Results
167 -
Advanced Statistical Modeling
141 -
Quality and Process Engineering
117 -
Predictive Modeling and Machine Learning
105 -
Design of Experiments
90 -
Reliability Analysis
60 -
Consumer and Market Research
43
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