JMP Wish List

What inspired this wish list request?  I often run contrasts for many measured variables and have to reenter the contrast coefficients for each variable. This is extremely time consuming. It would be nice to be able to recall coefficients previously entered from a drop down menu or red triangle   What is the improvement you would like to see?  ability to save contrast coefficients to reuse with other variables   Why is this idea important?  Saves time and prevents mistakes   ... View more

What inspired this wish list request?  In order to get support from the community with JMP problems it's useful to upload the file you are working on. Using JMP in the workplace means that the data / scripts you are working on often contain proprietary information which warrants files to be masked before they are shared with the community for trouble shooting.   The exact data within the file is not important, it's the nature and function of the data / scripts being used are important.   What is the improvement you would like to see?  A mode which automatically masks certain text, column names, inputs dummy data for each row etc. I.e. all proprietary information would be protected / masked, information required for troubleshooting purposes would be retained (e.g. information relating to characteristics & function).     Why is this idea important?  As a time saver. It would remove the need to prepare files containing proprietary information manually prior to being shared with the JMP community.     ... View more

  What inspired this wish list request? JMP does not seem to have a built-in support for zero-inflated models?    What is the improvement you would like to see? Possibility to fit zero-inflated model in JMP   Why is this idea important? It occurs quite often that the response is zero-inflated. Zero-inflated models are used when the response variable has a large number of zero values and a continuous, non-negative distribution for the non-zero values. Zero-inflated models combine two separate models: one for predicting the probability of a zero outcome, and another for predicting the non-zero values.     ... View more

Now I have to calculate measures of association when fitting a Nominal Logistic Model by hand(Fit Model, module). But they are in the Fit Y by X model. Fit Model allows more flexibility and more independent variables.   Would it be possible to have these measures of associations that are now in the Fit Y by X routine for nominal data, also included as far as possible in the Fit Model Routine if you run a Nominal Logistic Fit on Nominal data.   That would be very helpful and insightful.  If possible also add the Contingency coefficient and Cohen’s omega. ... View more

I post my question here  https://community.jmp.com/t5/Discussions/Filtered-data-function-didn-t-work-for-JMP-14-dashboard/m-p/64082#M34213 and attached video shows that filter is not interactive at all when I saved as interative html (although it is working in dashboard environment).  hope this could be solved. thanks! ... View more

What inspired this wish list request? I analyzed the data in a split-plot design and in the post-hoc test (LSMeans Differences Student's t) the levels by default were arranged according to the least Sq mean. I tried to sort them based on levels and for individual tables; I got success. But I want to know how we can change these settings (sort by levels) by default for all analyses.      What is the improvement you would like to see? Here is an example of how to do the sorting using JSL Names Default To Here( 1 ); dt = Open( "$SAMPLE_DATA/Drug.jmp" ); obj = Fit Model( Y( :y ), Effects( :Drug, :x ), Personality( Standard Least Squares ), Emphasis( Effect Leverage ) ); myobj = obj << Run( :Drug << {LSMeans Student's t( .05, Connecting Letters Report( 1 ) )} ); objr = obj << report; Report(myobj)["Response y","Drug","LSMeans Differences Student's t",TableBox(1)] << sort by column( "Level", ascending = 1); this is a possible solution with JSL but again this is time consuming. therefore preferences setting to have the table sorted by level automatically after the post-hoc analysis   Why is this idea important?            ... View more

I think it would be useful to have a Find/Replace function to operate on output window chart names. For example: Chart Name = "Variability Chart for <Column Name>" Find: "Variability Chart for" & Replace with ""   It would save us from having to script variability charts.   Cheers, Gareth ... View more

What inspired this wish list request?  If a user selects rows in a data table, the corresponding entries in a Tabulate platform are highlighted. This interactivity is very useful - it's similar to the highlighting of data points in a plot when points in another plot are selected. Unfortunately, in an exported HTML file, the entries are not highlighted.   What is the improvement you would like to see?  Please implement the row highlighting for Tabulate also for interactive HTML files.   Why is this idea important?  Competitor Software provides interactive highlighting for tables - not just for Plots. ... View more

I am using the workflow builder to automate a data visualization. In this process, I am importing a long list of spec. limits through the Manage Limits platform, but the "Save to Column Properties" option is not captured by the Enhanced Log and thus not recorded by the workflow builder either.   Is it possible to make the Enhanced Log record the steps "Load from Limits Table" and "Save to Column Properties" in the manage spec. limits platform? ... View more

I am building a dashboard and recording the steps with the workflow builder. I would love to have the possibility to save the script for creating the dashboard to the workflow. Since the creation of a Dashboard is not captured in the Enhanced Log, I suspect this is why there is no option in the Dashboard window to export a dashboard as a Workflow?          ... View more

What inspired this wish list request?    I have some data that i'm trying to fit a non-linear formula to (in this case a power law), but i have variants generated at different process conditions, so there are multiple variables (in this case 2). Ideally i'd like to be able to generate an equation capable of predicting the outcome (y variable) as a function of the x variable and another 'process setting' variable. The graphs look like this when performing the non-linear regression, using the 'grouping' function:   I'd love if the software were capable of 'parameterising' the 'legend' variable - ie to be able to predict the y-value based on the current x-value and the current legend value. At the moment it just groups them, but this isn't as useful as it could be...   What is the improvement you would like to see?    I'd love if the software were capable of 'parameterising' the 'legend' variable - ie to be able to predict the y-value based on the current x-value and the current legend value. At the moment it just groups them, but this isn't as useful as it could be...   Why is this idea important?    In engineering where i work there are numerous times where i'm faced with non-linear trends and data, where i don't know the underlying physics or the equations of the curves. It would be a huge advantage to be able to perform a 'multiple non-linear regression' on such data to be able to extract a predictive or descriptive capability.    ... View more

What inspired this wish list request?  See the attached screenshot No. 1. The table has two Nominal Columns, "Passenger Class" and "Sex", as Grouping Columns. I may feel like seeing the total number of rows across "Passenger Class" groups, and check "Add Aggregate Statistics." Then I will have "All" both in "Passenger Class" and "Sex", and the table looks miserably cluttered.   What is the improvement you would like to see?  In this case, I would like to have summary statistics only for "Passenger Class", but not for "Sex". In general terms, I would like to have "Aggregate Statistics" for specific Grouping Columns.   Why is this idea important?  Sometimes we need some summary statistics while keeping the table simple and clean.   ... View more

According to Ph. Eur. 5.3 (Statistical analysis), confidence intervals for the relative potencies (REP) may be estimated for parallel line (paragraph 3.2.5), slope-ratio (paragraph 3.3.5) and sigmoid curves. For the parallel line model, a standard error (SE) value can be obtained for the REP values, but not a 95% confidence limit. Would it be possible to also obtain those values? Additionally, how can REP along with their SE or Confidence limits be calculated using the slope-ratio model?     ... View more

Hello,   Can Nonlinear be enhanced to provide confidence intervals around the parameter values and a measure such as sigma (as is provided for Fit Parametric Survival) and R^2 (I know R^2 may have limited / restricted applicability so sigma might be better). This is available in competitor tools. Regards Mehul Shroff ... View more

Hello,   In Association Analysis, lift (S[Rule]/S[Consequent]) is a measure of statistical significance. This depends on the size of the dataset. Instead of, or as an alternative to, requiring a fixed min. value of lift in the AA dialog, it would be helpful to allow the user to set the alpha value and calculate the statistically significant value of lift based on the size of the dataset.   Regards Mehul Shroff ... View more

このウィッシュリストリクエストのきっかけは何ですか?  意味が付けられたデータであるイベントフレームを直接取得可能となることで、製造工程特有のドメイン知識を持って作成された特徴量を使ったデータセット作成が容易になり、JMPの分析機能により高速な予測モデル作成等を実現することが出来る。   改善して欲しいことは何ですか?  現状、JMPをPIサーバーへ接続して取得可能であるのは生データと指定間隔のデータであるが、イベントフレームの取得機能を実現して欲しい。   この考え方がなぜ重要なのでしょうか?  PISystemはEXCELAdinによりデータを抽出することが可能であるため、EXCELによってデータ抽出してからJMPで分析することも可能であるが、現場でのデータ分析ツールの使用を推進するためには分析にJMPからPIサーバーへ接続し、直接イベントフレームが取得できると、JMP内のみで分析作業をライブさせることができる。   ... View more

What inspired this wish list request?  I frequently right click the gray triangle > Edit > Copy picture to export report images. When I use a local data filter, I need to use a screenshot to capture the LDF.   What is the improvement you would like to see?  When adding a LDF, nest it under a new outline box with the original report.   Why is this idea important?  Easier to export graphics without screenshots and ensure that the filtering options are recorded as well.   ... View more

What inspired this wish list request?    In my company, it is common to present data or distributions by box plots, across many different requirements (often > 100 features on a part).   Often, the design team will want to set specs more like control limits, and base a spec on demonstrated capability, usually to 4 or 5 sigma.   It is helpful to be able to present in graph builder, on box plots, or on histograms with error bars set to 3 4 5 or 6 sigma.   This feature is available in process capability platform, but you cannot plot multiple categories, or multiple FAI, on the same plot.       What is the improvement you would like to see?    For Box plot or histogram, please add options to show error bars with more modifications. It would be helpful to add error bars at various sigma (i.e. 3 sigma 1 cpk, 4 sigma 1.33 cpk etc.). At the moment, the only option is to add 1 sigma.   Why is this idea important?    This is very common in apple. ... View more

What inspired this wish list request?  When building complex models based on large number of collinear/correlated variables, there are several possibilities available. One of them is transforming the variables into principal components, and then create a model based on these principal components to avoid collinearity issues, reduce dimensionality and keep a large part of the initial information. The problem that could happen in predictive modeling is data leakage : information from the validation set and/or test set is used in the pre-processing and/or model building. This can happen in PCA platform if validation/test rows are not hidden and excluded : if the PCA is done on the whole dataset and after models are built on the training principal components data, the model still contains a part of the information from the validation and test sets. Model evaluation can become biased as the performances would be assessed too "optimistically".   What is the improvement you would like to see?  As for other platforms (see Fit Model below), I would like a validation role when launching the PCA platform dialog, so that the PCA is created with the training rows, and applied on validation and test rows :      Why is this idea important?  The validation role for PCA would enable user to be more aware of this data leakage situation when they are building predictive models. It's also part of the best practices to split the dataset first into train/valid/test sets before doing any transformation/model, so adding this validation role would enforce a reliable best practice for users. Finally, it would be also easier to use PCA in a more reliable way as a pre-processing step for predictive models with this feature, instead of manually or scripting excluding rows.   ... View more