JMP Wish List

I have a few data tables used for analysis of data that have embedded scripts. These scripts perform analyses that spawn new tables (summaries, model fits from which I create combined data tables, then perform splits, joins, etc.). In these scripts, I often move/rename columns and remove rows/columns, and these scripts are impossible to work on with the debugger. I need to be able to see how these new tables and reports evolve when trying to debug. With the recent update to JMP16, there was an analysis that yielded a table with columns in a different order than JMP15. I resorted to inserting Throw(); at different points in the script to make ad hoc breakpoints. An ideal solution would be a debugger that is built into the script editor with breakpoints, like most programming IDEs. The spawning of a separate JMP process for debugging is clunky and prevents straightforward debugging of UI-based analyses. ... View more

It would be helpful if the Model Comparison table was not built based on which distribution buttons were selected.  Instead, automatically show a comparison table with AICc values for each of the compared groups.     Thanks for considering.   ... View more

The Overlay drop zone in Graph Builder is my favorites -- in my mind, it means "make a new line with a new color for each different value of this variable".   I would love to see it broken into two boxes -- "Overlay-Color" and "Overlay-Style".   GB would change the color for the variable dropped onto Overlay-Color, and the line style for the variable dropped onto Overlay-Style.  This would allow the user to easily create solid, dashed, etc., lines in different colors.   ... View more

Hello JMP team, I'd like to suggest the ability for the capability analysis that you can run through control chart builder 1. Respect the distribution that is assigned to a column property and 2. have the ability to select a different distribution type (like you can in the regular Process capability platform and Process capability in the distribution platform)   Thanks  Steve ... View more

The addition of quantile regression to the generalized regression platform was/is very welcome. It would also be nice if pseudo rsquare and other goodness of fit measures for quantile regression could be provided in the results. Thanks. ... View more

Pop quiz! Question 1 Suppose you have a function GetCurrentValue which gets the current value of user certain interface objects, and returns missing (.) for others.  Suppose you have a list of interface objects (AllInterfaceObjects).   Will this work? UserValues = Transform Each({object}, AllInterfaceObjects, GetCurrentValue(object)); FilteredValues = Filter Each({value}, UserValues, !Is Missing(value)); Answer: Depends on what kind of values GetCurrentValue returns.  Suppose GetCurrentValue returns (checkbox << Get Selected Indices()) for checkbox items.  If you apply IsMissing to the list of indices you do not get a boolean literal, you get a  list of booleans. !IsMissing({1,2,3}) = {1,1,1} Because a list of booleans is not True, Filter Each will remove it!  That means FilteredValue will not contain your list, even though your list was not missing. Question 2 As you may or may not know, Create Database Connection is a function for creating database connections.  It returns a database connection on success, and missing on failure. Does this work? connection = Create Database Connection(magicString); if( !Is Missing(connection), RunSomeQuery(connection), Print("I have failed to connect") ); Answer: Nope.  Is Missing returns an error, complaining that it expects numeric values. My Proposal Make the use of missing (.) and Is Missing more disciplined.  Do not magically thread the function through lists, tell me if the variable holding the list is missing or not.   If Is Missing cannot handle your success, do not use missing to signal failure.     ... View more

As JMP progresses through different versions we have to keep on having seperate license keys ( the jmp.per file) for them when our users don't upgrade all at once. This can make maintenace and upgrading tricky to do when we either renew our licenses or the JMP version changes. I'm not sure why the version number is important in the license as we only get it once we have paid.   So my wish is to only have 1 license key for all different versions of JMP? ( remove the SID_header=JMP 16.1, SID_header=JMP 15.2 bits from the key). David ... View more

Missing data is a common problem with data analysis.  I would like JMP to include the option to perform multiple imputation on data with missing values.  Currently I am sure many of us are restricted to options like R when it comes to performing such functiions on data and this option in JMP would only serve to make JMP the all-in-one data analysis solution which it is gaining a growing reputation for. ... View more

Add annotation to window list to windows which have been modified or not saved, (prefix or suffix * or (*) for example). It would help user to know if there are modifications done to currently open windows.   I would prefer it to be in Preferences, so I could choose which types of windows to apply annotation to (projects, journals, reports, datatables, script windows...).  ... View more

I would like to have an interface which I could use to check different relations between different datatables and reports generated from them. This would help user to track how different data tables and visualisations might be related and possibly also help to visualise the flow needed to reach the end. Of course it would be nice to able to also something from this interface (bring table / table to top for example). This would require JMP to save the relations somewhere, so this should maybe be an option in Preferences.   Some example ideas (most likely there are way better visualizations for this): Parallel plot:   Using ishikawa:   Obsidian notes - graph view graph view: Folder structure:   Lazyu example script for parallel and ishikawa. Using something like this would work, but you would have to have your own functions/class to handle subsetting and so on, to get all references. You can also parse some names and link them back (subset and summary). Names Default To Here(1); demoList = New Table("datatablecollection", New Column("Parent", Character, Nominal), New Column("Child", Character, Nominal)); addToDemoList = Function({_parent, _child, dt = demoList}, {Default Local}, parentName = _parent << get name; childName = _child << get name; demoList << Add Row({Parent = parentName, Child = childName}); ); dt = Open("$SAMPLE_DATA/Big Class.jmp", invisible); dt_subset = dt << Subset(all rows, invisible); addToDemoList(dt, dt_subset); dt_subset_subset = dt_subset << Subset(all rows, invisible); addToDemoList(dt_subset, dt_subset_subset); dt_subset_summary = dt_subset << Summary(Group(:name, :sex), Freq("None"), Weight("None"), invisible); addToDemoList(dt_subset, dt_subset_summary); dt_subset_subset_summary = dt_subset_subset << Summary(Group(:name, :sex), Freq("None"), Weight("None"), invisible); addToDemoList(dt_subset_subset, dt_subset_subset_summary); dt_summary = dt << Summary(Group(:name, :sex), Freq("None"), Weight("None"), invisible); addToDemoList(dt, dt_summary); obj = demoList << Diagram(Y(:Child), X(:Parent)); Close(dt, no save); Close(dt_subset, no save); Close(dt_subset_subset, no save); Close(dt_summary, no save); Close(dt_subset_summary, no save); Close(dt_subset_subset_summary, no save); _dt = New Table("Untitled 37", Add Rows(3), Compress File When Saved(1), New Column("Column 1", Character, "Nominal", Set Values({"Big Class", "Big Class", "Big Class"})), New Column("Column 2", Character, "Nominal", Set Values({"Subset of Big Class", "Big Class By (name, sex)", "Subset of Big Class"}) ), New Column("Column 3", Character, "Nominal", Set Values({"Subset of Subset of Big Class", "", "Subset of Big Class By (name, sex)"}) ), New Column("Column 4", Character, "Nominal", Set Values({"Subset of Subset of Big Class", "", ""})) ); parallelPlot = _dt << Graph Builder( Size(495, 450), Show Control Panel(0), Variables(X(:Column 1), X(:Column 2, Position(1)), X(:Column 3, Position(1)), X(:Column 4, Position(1)), Color(:Column 1)), Elements(Parallel(X(1), X(2), X(3), X(4), Legend(3))) );   ... View more

Please can you make it possible to set the preferences for standard deviation decimal places in the Categorical Report? There is an option for means, but not st dev. ... View more

The problem statement is I want to be able to compare 2 populations' survival and give a confidence interval around the point estimate. JMP can plot a simultaneous or pairwise confidence interval around any given population, but cannot give a confidence interval around the difference. Therefore, I suggest to everyone in my company to use R or python to do survival analysis, because the point of comparing survival is to quantify the difference, and the uncertainty in the difference.   RMST is one way to compare survival across 2 populations and derive confidence intervals. https://cran.r-project.org/web/packages/survRM2/vignettes/survRM2-vignette3-2.html I suggest JMP impelement RMST. ... View more

In addition to First n, Last n, and Random n rows, let the user enter a list or matrix of rows to preview in the column formula dialog.  This would be helpful when trying to write a formula that needs to work for conditions in different parts of the table.  Right now, for example, I would like to see the preview for rows 2, 462, and 3232 as each represent different conditions in the table, so I would really like to enter something like this:       ... View more

I'd like the crosshair tool to offer its coordinates in its right-click menu: Add(Remove) Href(Vref) Line and  Copy X(Y) value. Especially in a scatter plot matrix.   simulating with annotate lines ... View more

In making JMP Clinical Reports, currently for Oncology: Tumor Response, the only variables to display are LDIAM and LPERP. These options don't allow us to account for multiple tumors/lesions, as outlined in the RECIST guidelines (https://ctep.cancer.gov/protocolDevelopment/docs/Recist_Guideline.pdf). It would be helpful if more options (SUMPPD, PROD PPD, etc.) were included as options for Tumor Results Test for Analysis to accurately display this information for cancers involving multiple tumors.   Similarly, for cancers with multiple tumors, it would be helpful if there was a way to indicate which tumor is being represented in the figure, as well as to potentially look at multiple tumors/lesions, or select specific tumors/lesions to look at. This could apply for both the Oncology - Tumor Response Report as well as Tumor Results Waterfall Plots.   Thanks, Samantha  ... View more

I would like the ability to record and save an animated gif when using the local data filter and column switcher on mac similar to what you can do on Windows in JMP 16. ... View more

Dear all, we use Box Plots a lot, and the new features in JMP 16 (notched ...) are great, but it would be quite helpful to be able to control these features already in preference settings.   So I would vote for including features like  Box Style( "Solid" ), Notched( 1 ), Fences( 1 ), Name( "5 Number Summary" )(1) in preferences to not need to specify them in each plot again.   See script and screenshot for illustration. Thanks,     Names Default To Here( 1 ); // styled Box Plot with notch and colos dt = Open( "$SAMPLE_DATA/Big Class.jmp" ); dlg = Column Dialog( xCols = Col List( "X, Factors", Min Col( 1 ), Max Col( 1 ), Modeling Type( "Categorical" ) ), yCols = Col List( "Y, Response", Min Col( 1 ), Max Col( 1 ), Modeling Type( "Continuous" ) ) ); gb = Graph Builder( Show Control Panel( 0 ), Variables( X( dlg["xCols"][1] ), Y( dlg["yCols"][1] ), Color( dlg["xCols"][1] ) ), Elements( Box Plot( X, Y, Legend( 3 ), Box Style( "Solid" ), Notched( 1 ), Fences( 1 ), Name( "5 Number Summary" )(1) ) ) ); ... View more

I have over 100 graphs that generated from graph builder, I need to export them to ppt and 10 graphs per slide. Now export only can do one graph per slide, and I have to manually copy paste to make 10 graphs per slide. I am sure, I am not the only one have this pain, and it will make sense to have this option in exporting in the future.   ... View more

Add a test to produce p values of superiority tests at a range of distances and output those to a table or graph as shown below.   Consider a trial where a process change is made.  Results are compared with current performance and a t test determines that the process was improved (the mean shifted) with a p-value of 0.05 and a superiority test in JMP 17 indicates that the mean shifted by at least 0.01 with a p value of 0.12, but neither tells a whole story.  To make an informed decision, we would want to know information like: 5% chance the process stayed the same or got worse 90% chance the process improved by at least 0.01 50% chance the process improved by at least 0.006 5% change the process improved by at least 0.011 Here is a post with two potential methods of calculating these values: Compare means test: graph probability by difference in means  ... View more