JMP Wish List

https://community.jmp.com/t5/Discussions/linked-data-table-how-to-cut-the-quot-link-quot/m-p/573180#M78213   Summary Tables and Subsets have an option to "link" the new table to the original data table. "Data views" have such a link enabled by default.   Cool: Row Selections and changes to the values are automatically linked between the tables.   But sometimes one needs to remove such a link  - to add additional rows to the main table - edit entries in the columns which were used for summary grouping - to rename columns of the linked table ...   my wish:  remove the link via right click on  and click on a command like "cut the link".   workarounds: - generate a (100%) subset of the linked table and delete the linked table itself - a Links cannot be saved, so, one can save the tables, close both tables and open the "linked" table again - without the link.   more wishes submitted by   ... View more

☑ cool new feature ☑ could help many users! ☐ removes a „bug“ ☐ nice to have ☐ nobody needs it   #myTop10_2022   If a user changes the name of a column, references to the column in table scrips are (sometimes) automatically corrected, references in user scrips unfortunately not: Column() vs As Column() vs datable:column vs dt:As name("column")    So, column name changes are very dangerous: there is always the risk that a jsl code doesn't work anymore after the change - like illustrated in the example below. JMP detects that a noc-existing column is requested and throws an error:   My wish: Instead of throwing an error, JMP could open a window and provide a list of column names. Then the user can select a replacement column. There should also be a toggle box, allowing the user to decide if the JSL code should be automatically adjusted wit the new column name. The new behaviour could be enabled/disabled in the preferences menu such that users which got used to error message still have the choice to get it.     NamesDefaultToHere(1); dt = Open("$SAMPLE_DATA/Big Class.JMP"); Data Table( "Big Class" ):age << Set Name( "age_" ); s = dt << runScript("Distribution"); // column names automatcally adjusted wait(2); s = dt << runScript("Set Age Value Labels"); // this script throws an error   more wishes submitted by   ... View more

What inspired this wish list request? Having to perform a task of "make combined data table" and re-creating a complex function multiple times to get the desired values.  Also, is difficult to coach scientist on how to do this with their data and there is opportunity for the formula to be modified or entered incorrectly by mistake.   What is the improvement you would like to see? Custom formulas for summary statistics that can be created then used in Tabulate, Distribution, Summary, Graph Builder etc. It would be great if you could also use any of these formulas as column formulas with the option of By Variables.(ex. Col GCV(:Column 1, :By Variable Column))     Why is this idea important?  Increase efficiency; Avoid errors when re-entering formulas; Allow flexibility to add to the COTS based on need.       ... View more

What inspired this wish list request?  When working with hundreds of different measurements on different scales, comparing them quickly can be difficult. Capability Box Plot is one excellent tool to perform this type of comparison, but extending it beyond that Process Capability does take quite a lot of work. I have written my own add-ins to perform this type of comparison, but I feel like it could be also helpful to have it directly in JMP.   What is the improvement you would like to see?  New column property "Normalization" which would scale the column based on set limits (or maybe this could be added to Spec Limits column property?).   New property could look something like this   Why is this idea important?  Makes comparing different measurements easier with different platforms. For example I could "quickly" perform this type of comparison in graph builder   Process Capability   ... View more

Highly regulated fields such as medical devices or pharmaceutical require that a statistical rationale for any design verification and validation activity is used. If a variable is continuous, the sample size for tolerance interval is a calculation based on the type of interval (1 vs. 2 tails), confidence, population coverage and margin of error. If a variable is an attribute, typically a count of conforming items, the calculation's output is an acceptance number (maximum number of non-conforming items that can be accepted in the experiment) and a sample size, based on confidence and population coverage.   Sometimes even the conformity of a product is defined on a such statistical basis, sometimes with numbers which are impossible to find in tables: Les contrôles des leucocytes résiduels dans les PSL sont effectués dans un délai maximal de 24 heures après la déleucocytation. De plus, les contrôles de chaque type de PSL, dans chaque établissement de transfusion sanguine (ETS), doivent montrer que, pour un calcul fait avec un degré de confiance de 95 % et en utilisant un plan d'échantillonnage adapté, les contenus ci-dessus doivent être respectés au minimum dans : 97 % de la production des PSL cellulaires déleucocytés ; 95 % de la production des plasmas à usage thérapeutique déleucocytés. (e.g. allowed white blood cells post filtration in France, 97% conformity with 95% confidence see link https://www.legifrance.gouv.fr/affichTexte.do?cidTexte=JORFTEXT000023140529 ) So these tools are common also in PCMF (post market clinical follow-up) activities or market monitoring.   It would be nice to see this topic covered in JMP.   Some links: http://reliabilityanalyticstoolkit.appspot.com/sample_size https://support.minitab.com/en-us/minitab/18/help-and-how-to/statistics/power-and-sample-size/how-to/sample-size/sample-size-for-tolerance-intervals/before-you-start/example/ https://www.qualitymag.com/articles/91991-sample-sizes-how-many-do-i-need http://www.cbinet.com/sites/default/files/files/Session12_Golden_Alan_pres.pdf https://www.mddionline.com/sample-size-selection-using-margin-error-approach   ... View more

Hi everyone,   I'm using the functional DoE Platform and have to admit that it works really great. However, I miss the possibility to visualize the uncertainty of my models in the profiler. I think a lot of people could benefit from a feature which allows to add confidence intervals or CI's based on a bootstrapping approach. I would really apricate some upvotes for my idea ;)   All the best! /Marco ... View more

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.   ... View more

What inspired this wish list request?  JMP17 Fit Y by X, "Means and Std Dev" output report changed the standard columns output. Columns can be changed manually by right-clicking on the table and choosing the Columns I want to see. Preferences to make these Column selections does not exist.  We do not want to create a script or distribute an Add-In.  We would prefer to easily update the Preferences.   What is the improvement you would like to see? Column selection from this output table should be available in the Platform Preferences pick-list.     Why is this idea important? We have several engineers in our company who use the "Means and Std Dev" report in their standard reporting for their important parameters.  They do not want the additional columns in the new standard report.  They want the ability to customize their own preferences for this platform.     ... View more

What inspired this wish list request?  While crosshair tool is useful to read the approximate values around the curves it would be good to snap on a smoother-ed curve that is closest to the crosshair.   What is the improvement you would like to see?  Snap feature on the graph.   Why is this idea important?  This will enable quicker and more accurate look at the curve values compared to going into the table.   ... View more

What inspired this wish list request?  I analyze a lot of data that is a deviation from nominal and thus has values at zero or negative values.  If the data is skewed there are much more limited Distibution fitting options in both the Distribution platform and the Capability platform (and no options in Process screener!).     What is the improvement you would like to see? I would like to see additional distributions such as largest and smallest extreme values, 3 parameter Weibull/Gamma/Exponential/Lognormal, and zero inflated distributions as asked for here: Add Zero Inflated distributions to Distribution Platform - JMP User Community in the Distribution Platform, Capability Platform, and the Process Screening Platform.   Why is this idea important? Since a proper capability analysis requires the need for a well fitting distribution, having a large number of options is key for user success.  As such, currently any skewed data set that includes values at 0 or less can lead to poor capability analysis due to more limited fitting options that >0 data sets.   ... View more

☐ cool new feature ☑ could help many users! ☑ removes a „bug“ ☐ nice to have ☐ nobody needs it   #myTop10_2022     Get rows where is extremely slow if the column is referenced with a varible (here i=5 ) dt = Open( "$SAMPLE_DATA/Wafer Stacked.jmp" ); t0=hptime(); i = 5; dt << get rows where( As Column( dt, i ) == 10 ); (hptime()-t0)/1000000; instead of a direct reference like in dt << get rows where( As Column( dt, 5 ) == 10 ); My wishes: Is it possible to "fix this issue in the background"? e.g. by a setting in the preferences: "hereby I confirm that JMP is allows to pre-evaluate variables to speed up code execution - accepting that this could lead to unintended/unusual behavior" (I am not good enough in JSL programming to predict all the collateral effects - would such a mode make sense?) If fixing the issue in the background is not possible, could you please implement a warning function in JSL such that the user gets informed about the bad performance due to non-pre-evaluated variables. Then he can adjust the code, with substitute Should you Loop through a data table or use Recode, or use Get Rows Where to change values in a data table  or Eval: https://community.jmp.com/t5/Discussions/Should-you-Loop-through-a-data-table-or-use-Recode-or-use-Get/m-p/580751/highlight/true#M78769        more wishes submitted by   ... View more

What inspired this wish list request?  JMP version 17.1 PRO I have a problem with the scale of the prediction profiler. The scale of "H" should be between 0.3 and 0.7. Suddenly it moves its target to 1.5 when I remove "h". The problem happens when I remove "h". Before "h" was removed, the profiler was "normal". The profiler seems to get confused by "h" and "H".     What is the improvement you would like to see?  I would like some warning when two columns names are simuilar like "H" and "h" there could be problems when using them as a factor in a model. Or better the problem fixed.   Why is this idea important?  I used a lot of time testing what is problem was.   ... View more

It would be helpful if there was a shortcut in Graph builder where you can import pairwise comparisons to be displayed on the graph. Currently we have to export the JMP bar graph to PowerPoint and manually add the lines that indicate significance between groups. We do use JMPs Fit Y by X tool to do the stat comparisons and JMP graph builder to create the "base" graph. We would just appreciate if these capabilities were linked     ... View more

What inspired this wish list request? In comparing models there are some more statistics and graphs that may help with this comparison.     What is the improvement you would like to see? Statistics to consider adding are R-squared adjusted and R-squared predicted, AICc and BIC. Would like to see a table listing all of these beside one another along with the coefficients and p-values for each term in the models. Potential graphs that may be helpful are Absolute value of the residual vs run for each model and Absolute value of the residual vs model (like like A, B, C) to show how the average Absolute error compares and the variation.     Why is this idea important?  This will strengthen the ability to compare the models quickly and better enable the more correct model to be chosen.     ... View more

I don't have a lot of faith in the 'plot residuals by normal quantiles' for doing model diagnostics. I have typically saved the residuals from the model to a new column, then used the Distribution platform to create a normal quantile plot there.   The fit of the solid red line does not seem to match up well with where the residuals fall using Fit Least Squares. The slope of the solid red line is not a good fit. I looked at a few sample data sets and saw issues with the default model scripts in these data sets:   2x3x4 factorial Bounce data Wine data Below is a plot of the 2x3x4 factorial Residual Normal Quantile Plot. I've been told that the slope of the solid red line is based on the RMSE of 2.02.     If I save the residuals to a new column and regenerate the Normal Quantile Plot from the Distribution plot, the line is based on the standard deviation of the Residual Y column of 1.03. It looks like a much more sensible fit from a model diagnostics perspective.   Is this something that can be updated in future versions of JMP? Note that when you use Fit Mixed, the results in the Residual Plots there match my desired result from manually saving the residuals to a new column. ... View more

What inspired this wish list request?  I saw that in JMP 17 we can now change the value order of a variable in Graph Builder, and it will save that property back to the column.   What is the improvement you would like to see?  I would like to see this same feature applied to the Tabulate platform.  I often build summary tables and this is where I frequently become aware that I need to fix the values in a particular order other than their occurrence or alphabetically.  Being able to do this right from the Tabulate page would be great.   Why is this idea important?  It's efficient and consistent with other platforms.   ... View more

Please add option for mediation analysis in JMP. It can be done in SAS using PROC CAUSALMED. ... View more

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. ... View more

I will occasionally have a distribution with zero's in there and when I try using the Distribution platform, I get a much smaller list of possible distributions to fit than normally.  I then can go into Life Distribution and look at a ZI Lognormal or ZI Weibull, but why not offer these in the Distribution platform? ... View more