JMP Wish List

The "Fit Curve" platform in JMP does not support quantal (e.g. dead/alive) dose-response analysis, which is essential for bioassays with arthropods for example. Instead, users must resort to the "Fit Model" platform. While "Fit Model" can conduct the analysis using a Generalized Linear Model with binomial distribution and Logit or Probit link functions, it requires a cumbersome, manual multi-step process for essential tasks such as testing for parallelism, fitting parallel lines, and estimating potencies and relative potencies. This manual process is not only time-consuming but also susceptible to errors. In contrast, the "Fit Curve" platform offers automated procedures for similar analyses with continuous data, highlighting a gap in JMP's capabilities for quantal data. Enhancing the "Fit Curve" platform to handle quantal data would significantly improve efficiency, accuracy, and overall user experience.  Below, you will find the detailed manual steps required in Fit Model platform to analyse the results of an experiment involving three strains of insects (i.e., lab, field 1, and field 2), each subjected to five doses of an insecticide across three replicates with 20 insects per replicate.       ... View more

What inspired this wish list request? I am trying compare the Within Sigma estimate of variation between groups, and I am unable to do so since I cannot generate confidence intervals for those estimates.   What is the improvement you would like to see?  The Capability platform now helpfully includes 95% Confidence Intervals for the various Cpx and Ppx estimates, but I can’t get the same type of information for the Within Sigma estimate.  Ultimately, I would like to be able to easily obtain confidence intervals for the Overall and Within Sigma estimates in Process Capability in all platforms where that is used.  (Distribution, Control Chart Builder, Process Capability, etc.)  It would also be beneficial to generate CIs for the Stability Index to provide a quick assessment of how this ratio compares to 1.   As an editorial comment, it is harder than I would like it to be to generate the confidence interval information for the Overall Sigma Std Deviation, but I can do it in the Distribution Platform using the Confidence Intervals option.  (Would like it to be an option for the summary statistics as well).  I can also get there in Fit Y by X under the Means and Std Deviations option in JMP 17, but you have to right click the table and add the columns to the report – and not a lot of people know you can even do that.   Why is this idea important? Confidence intervals are important so that we can understand the uncertainty associated with any statistical estimate.  Without this information readily available, people will often make incorrect assumptions - especially when sample sizes are small.     ... View more

What inspired this wish list request?    Sometimes, one doesn't have access to the raw data, but rather a summary of it, commonly provided as mean and standard deviation numbers - it would be great to be able to visualise such data in graph builder, but currently the only way to plot ranges associated with an average value is to have the raw data (individual data points) so that JMP can do the stdev calculation (among others).   What is the improvement you would like to see?    Functionality in graph builder to accept a column with average values and a column with range (eg, std deviation) associated with each value.   Why is this idea important?    There must be many users who don't always have access to source/raw data? ... View more

Hello,   I would like to have the ability to set the Lilliefors curves in the normal quantile plots of Distribution to user-defined confidence intervals. Ideally, they should match the confidence interval selected by the user but at a minimum, there should be a way to change the setting independently.   Thanks and regards Mehul Shroff     ... View more

What inspired this wish list request? While using the Power Explorer platform, I find myself having to jump back and forth between different input boxes as I try and examine different operation conditions due to the fact that few of the boxes can be locked.  This makes for a frustrating and ineffective user experience.  Also, there are some one and two sample test I'd like to do power analysis for an equivalence test but there is currently no option.     What is the improvement you would like to see? Add Power to the "Solve for" drop down options Add Margin of Error to the "Solve for" drop down options Only allow what has been selected in the "Solve for" drop down  to change as the other input boxes are updated Add the ability to lock the ratio between G1 and G2 sample sizes For Sample Counts per Unit, change the "Assumed Ratio of Group Counts per Unit" inputs to a single input of the ratio of group 1 to group 2 defect counts per unit. Add in one and two sample Equivalence test for Proportions and Counts     Why is this idea important? The Power Explorer platform is a key platform but is hard to use and less intuitive than the Minitab equivalent(though it does have more and better capability!).   Thanks for considering this! Steve   ... View more

What inspired this wish list request?  Preview for functions under the Tables menu is very useful to check the correct manipulations have been performed.  However, the generation of the preview table can take considerable time if the data tables involved are large.   What is the improvement you would like to see?  Preference setting to allow for the table preview and table preview auto refresh to be disabled by default.   Why is this idea important?  Saves processing time for the user.   ... View more

What inspired this wish list request?  In my research I often have to compare different experimental conditions for their proportions (mortality for instance). I can perform a chi square test with the Y by X plateform with the Treatments in the X, the parameter in the Y (living vs dead) and the count as Freq. I obtain a global p-value but then I can't discriminate treatments.   What is the improvement you would like to see?  I would like to have a post hoc procedure to hava a multiple two-samples proportions test in order to test all pairs along with a connecting letters report. Ideally a correction for multiplicity (as Tukey) would be needed. I've been using another stat tool with the Marascuilo procedure.   Why is this idea important?  It will be important for all situations where there are more than two groups to compare for their proportions   ... View more

What inspired this wish list request? I would like using the label orientation "Automatic" consistently but currently I must define it at each individual axis in graphs.     What is the improvement you would like to see? I would like to have it as a preference so that it is applied automatically to all my graphs.     Why is this idea important?  The proposal is important because it saves us a öot of clicks.     ... View more

Qu'est-ce qui a inspiré cette demande de liste de souhaits ?   La possibilité de le faire sur Minitab / Excel Le fait qu'un biais n'est pas forcément centré sur 0 exemple : [-1 ; +2 ] Que le calcul de l'intervalle de confiance du biais fait intervenir aussi bien l'Upper Limit que la Lower Limit du biais et pas forcément le delta calculé.   Quelle est l’amélioration que vous souhaiteriez voir ?   Pouvoir avoir la possibilité de saisir les deux limites et non que le delta comme c'est le cas actuellement.   Pourquoi cette idée est-elle importante ?   Indispensable pour la gestion des tests d'équivalence dont le biais n'est pas centré sur 0, aujourd'hui nous devons utiliser Excel pour mitiger cet écart (JMP pas utilisable donc).     ... View more

What inspired this wish list request? I love the Difference vs Mean plot in this platform, but many times the difference may be a function of the mean. What next?     What is the improvement you would like to see?  I would like to be able to fit a line of Difference vs mean and see if it is significant, better yet, have JMP do it and suggest a different analysis like % Difference vs Mean (Available in JMP 18), and see if this one has a trend also. If it does, suggest another approach. At a minimum provide a way to output the data used in the plots to a data table so I can check myself. I think the Galton.jmp sample data file is a good example where people will get the incorrect conclusions. The Matched pairs analyses leads one to believe the difference is not significant, when in fact some assumptions of the paired t-test are violated, and this is not the correct conclusion. The assumption that the difference is random about an average difference is not true in this case.      Why is this idea important?  This will lead JMP users to the correct analysis in cases where the paired t-test assumptions are violated.     ... View more

What inspired this wish list request?    Whenever i move/organise my files and folders, all of the JMP analysis links break if the graph has used a reference to the data table rather than embedding - this is most annoying/inconvenient, and means that i have to perform the analysis all over again. I believe this is caused because the link between the analysis file and the data table file is an absolute reference (ie, starting at C:/)   What is the improvement you would like to see?    It would be SOOO helpful, if those 'absolute' references could be replaced by relative references - since quite often, my analysis files are stored in the same folder as the data table that they reference. Doing this would mean i could then put the files wherever i like and they would still work and be useful.    Why is this idea important?    This would make it much easier for your users to organise their work after performing the analysis of data, rather than having to think completely proactively about how many files you might generate, and whether it might be better for them to have their own folder/location on a drive.    ... View more

Hello,   I often generate multiple Bivariate plots from a dataset using a By variable. If I change the axis type (e.g., from Linear to Log) on one plot, I can then broadcast it to the other plots. However, when I do this, the scale range for the first plot also gets broadcast. I also don't want to set a one-size-fits-all scale. Can this platform be enhanced to allow interactively changing the axis type while still auto-scaling each plot based on its data? I know there are ways to do this with JSL but the specific request is to be able to do this interactively.   Thanks and regards Mehul Shroff ... View more

What inspired this wish list request?  Need manually or automate it by writing code in JSL I have many charts in a grape and need update SPEC lines for every chart for changing colors, line type and line width to stands out the spec limits. Current preferences option only applies to graphic fit line, font size, etc. but not Spec Limit Lines, which is equally important if it is not more important can others. So we do not need to manually update limit lines for each every time and each every chart.     What is the improvement you would like to see?  It is equally importance as grid lines, graph lines width, Box Plot Line Width and so on.   Why is this idea important? Not everyone can see full spectrum color. Even though I am not color blinded but need to make limit lines stand out in the grape so other people can see clearly. The current limit lines could be covered by grid lines also or make not clear to see.      ... View more

In many case, there is the needs to generate random data with different shape (Normal, Weibull, Lognormal,...) and parameters. For example: one dataset (1000 data)  normal distribution (Average = 10 and Standard Deviation = 1.1) and one data set (2500 data) Weibull distribution (Shape Paremeter = 1, Scale Parameter = 0.1, Threshold = 0.1). This need is linked to some simulations (capability, ppm, correlation,...)  we need to do with not real/concrete/process data in our hands.      What is the improvement you would like to see?  I would like to have a button in some menu (Table or Analysis) -> push the button -> open the menu where I can select the type of Random data Distribution and set number of data to be generated and the parameter (see the attched file)   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,…). - Have the possibility to do some analysis and evaluation without real/concrete data; - Easy menu for data generation; - Flexibility on different data distribution needs;     ... View more

What inspired this wish list request? It is cumbersome to add the confidence limits to the parameter estimate table each time I use this.     What is the improvement you would like to see? Make it possible to add these and other columns to the Preference list.     Why is this idea important?  Will make the users more efficient.     ... 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?  Currently, when I trying to chose some samples from a plot of graph, it can only select by drawing a rectangular.  However, a lot of times, I need to select samples by a circular or oval shape, it's very hard to cherry pick each sample by using current method.    What is the improvement you would like to see?  Add a shape chose for select arrow, so we can chose if we want to select samples by drawing a circle or rectangular.    Why is this idea important?  Many company working on wafer like products, it's naturally a circle shape.  In this case, a lot of times, there are circular or oval shape defects, uniformity issue that need to be selected.  The user group is huge, since most semiconductor or other circular products company or manufacture need such tool to help.  It will be greatly saving time to have such selection shape.     ... View more

What inspired this wish list request? I was at the Greater Philadelphia Area Pharma JMP Users Group Meeting today and learned about the existence of the wish list from the JMP staff. I had requested this to a JMP representative at a different event a few years ago who told me to call JMP Tech support to make the request, but I never did.   I have "Box Plots" and "Plot Actual by Quantile" on by default due to my Platform Preferences for Fit Y by X with a continuous Y and nominal X. (This side-by-side plot is my favorite graph in JMP.) The red default is confusing because it does not match the legend color.   So, I usually change it by right clicking, selecting Customize...Customize Graph... then repeating Box Plot, Box Plot Line Color, and changing the color for each level of X.   Default red boxes misaligned with the legend   Color scheme aligned with the legend that comes with the Q-Q plot.     To make things worse there is a bug in JMP that I have not reported before, which I will report separately to JMP Technical Support. After I change all the boxes to black and save the graph to a script Window or a script in the data table my color customization does not stick. So, I have to redo my customization every time I make the graph. I am using v17.0 now, but I think this has happened as long as I can remember (>15 years). Today is the first day I figured out that changing the color to anything but black sticks in the script because I generally use black. (I know I could add the command lines to the script manually and resave it.)   All black boxes (not saved properly in a script):   What is the improvement you would like to see?  In Fit Y by X...Oneway, Box Plot, the box color should have an option to be other than red in the Platform Preferences. One choice could be black. Another could be the same color scheme used by "Plot Actual by Quantile".   Why is this idea important? Red is confusing for side-by-side box plots when the legend for the normal quantile plot has red to indicated the group with the first level of X. Red is confusing when the dot plots under the box plots have different colored symbols, and one of them is red. Black would work because other elements of the graph are in black.  The same color scheme used by "Plot Actual by Quantile" would work, especially when the Q-Q plot is part of the same graph to the right of the box plots and using the same Y-axis as the box plots.   ... View more

Many people are in need of testing the consistency (homogeneity) of a finite data set. Wheeler proposed the method called ANOX for individual measurement values (see https://www.qualitydigest.com/inside/statistics-column/anox-analysis-individual-values-090517.html#) Could this be considered for incorporation into a future JMP version? ... View more