JMP Support

Latest Notes

• SMQ Analyses ERROR in algorithm to determine scope

  A bug was identified in the algorithm for determining SMQ analyses for a NARROW scope. This has been fixed in the Hot Fix found here. 
      [Previously JMP Note 61780]

  laura_archer

  JMP Knowledge Base |

  Nov 30, 2022 1:36 PM

  166 views | 0 replies

• SAS® data set created by submitting SAS code from JMP® leads to an invalid SAS variable name

  When JMP^® connects to SAS^®, the SAS VALIDVARNAME system option is set to ANY because JMP is more permissive with respect to column names. This can cause an error similar to the one below if the SAS code submitted from inside JMP creates a variable with a name that does not follow the default SAS variable name rules. ERROR: The value <variable name> is not a valid SAS name. To ensure that the SAS...

  Wendy_Murphrey

  JMP Knowledge Base |

  Nov 30, 2022 1:36 PM

  484 views | 0 replies

• How to add a Graphics Script using a variable within a For() loop

  Overview The following example demonstrates how you can use a variable in a Graphics Script whose value changes over iterations of a For() loop. To make this work as desired, you must replace the variable with its value during each iteration. You can accomplish this using Substitute() or Eval Expr(), as demonstrated in the below example. The Eval Expr() function evaluates and replaces any variable...

  Wendy_Murphrey

  JMP Knowledge Base |

  Nov 30, 2022 1:36 PM

  727 views | 0 replies

• How to dynamically populate a ComboBox based upon user selection

  Overview This example demonstrates how you can dynamically populate a ComboBox with options that are relevant to a user selection made in a previous ListBox.   Instructions In a JMP® session, click the File menu and select New ► Script. Copy the below script and paste it into the script window. To run the sample script, click the Edit menu and select Run Script. /* Open a sample data table */ dt ...

  Wendy_Murphrey

  JMP Knowledge Base |

  Nov 30, 2022 1:36 PM

  584 views | 0 replies

• Corrupt Java Runtime Environment error when connecting to a remote SAS® Server

  Java Runtime Environment (JRE) is not included as part of the installation of SAS^® Visual Data Discovery for Desktop, JMP^® Genomics, nor JMP^® Clinical. Each of these solutions include a local installation of SAS^® which does not require Java in order to connect from JMP. When a user with one of these solutions attempts to connect to a remote SAS Server, the following error appears: JMP Alert: Y...

  Wendy_Murphrey

  JMP Knowledge Base |

  Nov 30, 2022 1:36 PM

  843 views | 0 replies

• Missing values in SAS® datasets might be imported incorrectly

  When connecting to local SAS^® using a 64-bit version of JMP^®, the 64-bit SAS 9.4 IOM OLE DB provider used to import SAS datasets will import missing data with incorrect values. This problem is limited to importing data from local SAS using a 64-bit version of JMP where the 64-bit SAS 9.4 TS1M0 version of the SAS IOM OLE DB provider is installed. The recommended workaround for this issue is to inst...

  Wendy_Murphrey

  JMP Knowledge Base |

  Nov 30, 2022 1:36 PM

  485 views | 0 replies

• How to select rows based upon multiple conditions using a JMP® script

  Overview The following examples demonstrate how you can use the logical AND (&) and OR (|) operators with the Select Where message to select rows that meet multiple conditions. Instructions In a JMP® session, click the File menu and select New ► Script. Copy the below script and paste it into the script window. To run the sample script, click the Edit menu and select Run Script.   /* Open a sample...

  Wendy_Murphrey

  JMP Knowledge Base |

  Nov 30, 2022 1:36 PM

  1459 views | 0 replies

• What is the difference between a response surface design generated using the Custom Design platform as compared to the Response Surface platform?

  The Custom Design platform generates D-Optimal and I-Optimal designs. While the Response Surface platform generates the Classical Response Surface Designs. Response Surface designs such as Box-Behnken, CCD are not generally optimal. By default in the Custom Design platform if you create a Response Surface design it is referred to as an I-Optimal Response Surface Design.   [Previously JMP Note 4896...

  sseligman

  JMP Knowledge Base |

  Nov 30, 2022 1:36 PM

  308 views | 0 replies

• What is the difference between Minimum and Default Number of Runs in the Custom Design Platform in JMP®?

  When using the Custom Design platform in JMP, after you define the factors in your design, you may specify the model terms of interest (for example main effects, interactions or power effects). Then, in the Design Generation dialog, the number of runs is suggested and calculated according to the specified model. The minimum number of runs corresponds to a saturated design, which means there are as...

  sseligman

  JMP Knowledge Base |

  Nov 30, 2022 1:36 PM

  525 views | 0 replies

• How to use a variable value in a formula

  If you use a global variable in your column formula, the formula might function normally in your current session of JMP^®, but when re-opening the application, the global variable will be nonexistent thus the formula will not evaluate properly. Instead of using the variable directly in the formula, you should substitute the variable value in its place. The function, Eval Expr() can be used for this...

  Wendy_Murphrey

  JMP Knowledge Base |

  Nov 30, 2022 1:35 PM

  754 views | 0 replies

• When fitting a model with random effects, are the effects tested correctly?

  When fitting a model with random effects using the expected mean squares method, JMP^® tests the effects correctly. The "Test Denominator Synthesis" output may be different than what you think it should be. However, JMP follows the references of Hocking and Hartley and Searle (listed below) to determine the appropriate error terms in models with random effects. This issue is an item of controversy ...

  sseligman

  JMP Knowledge Base |

  Nov 30, 2022 1:35 PM

  395 views | 0 replies

• Why does JMP® center polynomials in models by default?

  Centering polynomials helps to reduce the collinearity in a model that has interaction and higher order terms. If you do not use centered polynomials, the parameters on lower–order terms are less meaningful. The benefit of centered polynomials is that they make the test for the main effect independent of the test for the squared term. If you use the center polynomials option, the parameter estimat...

  sseligman

  JMP Knowledge Base |

  Nov 30, 2022 1:35 PM

  1013 views | 0 replies

• Why are the parameter estimates I see in JMP® different from the GLM procedure in SAS®?

  Differences between SAS^® and JMP^® are due to different parameterizations and algorithms used to calculate the statistics. The JMP algorithm is computationally more efficient, but PROC GLM is more general. Both are correct, just different. To answer any comparison questions, refer to the Nominal Factors section in the JMP Fitting Linear Models documentation and help.   [Previously JMP Note 37920]

  sseligman

  JMP Knowledge Base |

  Nov 30, 2022 1:35 PM

  477 views | 0 replies

• How does JMP® pick the initial cluster seeds in K-Means Clustering?

  JMP^® uses the same seed selection method as the SAS^® FASTCLUS procedure, with METHOD=FULL on the initial seeding. Generally, this method starts at observation one then chooses observations within the data set that are far apart. Please see the Background section for the FASTCLUS procedure in the SAS/STAT User's Guide for a detailed explanation.   [Previously JMP Note 37931]

  sseligman

  JMP Knowledge Base |

  Nov 30, 2022 1:35 PM

  435 views | 0 replies

• What is the Specified Sigma option in capability analysis, and how is the default value calculated?

  Specified sigma allows the user to enter a specific, known sigma used for computing capability analyses. Sigma is user–specified and is not computed. When accessing the capability dialog from the Distribution platform, the default value for Specified Sigma on the dialog is the same as the overall standard deviation. When accessing the capability dialog from the Control Chart platform, the default ...

  sseligman

  JMP Knowledge Base |

  Nov 30, 2022 1:35 PM

  436 views | 0 replies

• My Nonlinear model is not converging. Why?

  Convergence might not be attained under certain conditions. These may include the following: incorrect specification of the modelpoor initial starting valuesan over-defined modelinsufficient data Nonlinear models are very sensitive to initial estimates. If these values are not good, the model might not converge. Also, your data might not support the number of parameters you are trying to estimate....

  sseligman

  JMP Knowledge Base |

  Nov 30, 2022 1:35 PM

  690 views | 0 replies

• When I run my model through the Fit Model platform, I see "LostDFs" in the Effect Test report and "Biased" and "Zeroed" parameter estimates. Why?

  These notes usually indicate one or more linear dependencies in the design. That is, a linear combination of one or more factors can exactly duplicate another factor's values. Singularity Details are shown at the top of the results window. Examining these details should assist in determining which factors are involved in the linear dependencies. You can then adjust the model by removing factors to...

  sseligman

  JMP Knowledge Base |

  Nov 30, 2022 1:35 PM

  440 views | 0 replies

• If I change my columns from ordinal to nominal or vice versa, my parameter estimates do not match. Why?

  This is due to the different parameterizations JMP^® uses for the two column types. See the discussion of Nominal Factors and Ordinal Factors in the JMP Online Help for more information on the exact parameterizations. The parameter estimates differ, but the predicted values from the two models are consistent.   [Previously JMP Note 36638]

  sseligman

  JMP Knowledge Base |

  Nov 30, 2022 1:35 PM

  365 views | 0 replies

• How are control limits calculated for the different moving average control charts?

  EWMA Charts: The following notation is used for the formulas:
  
  You can compute the limits in the following ways: as a specified multiple (k) of the standard error of E_i above and below the central line. The default limits are computed with k=3 (these are referred to as 3σ limits).as probability limits defined in terms of α, a specified probability that E_i exceeds the limits.   The following table ...

  sseligman

  JMP Knowledge Base |

  Nov 30, 2022 1:35 PM

  980 views | 0 replies

• I have categorical effects in my Stepwise Regression model, and I don't understand how JMP® is performing the analysis. Is there any information on this?

  Information on Stepwise Regression models containing nominal and/or ordinal effects can be found in the JMP^® Fitting Linear Models documentation. In the Stepwise Regression Models chapter, see the section titled Models with Nominal and Ordinal Effects.   [Previously JMP Note 36624]

  sseligman

  JMP Knowledge Base |

  Nov 30, 2022 1:35 PM

  252 views | 0 replies

• When I run nominal or ordinal logistic regression in JMP®, some parameter estimates are labeled "Unstable." Why?

  This is a common issue caused by some parameters in the model becoming theoretically infinite. It can happen when the model perfectly predicts the response, or if there are more parameters in the model than can be estimated by the data (that is, with sparse data, where "sparse" means that there are few or no repeats of each setting of the covariates). One solution is to reduce the number of variab...

  sseligman

  JMP Knowledge Base |

  Nov 30, 2022 1:35 PM

  973 views | 0 replies

• How are the crossvalidation statistics defined in Partition?

  The k-fold crossvalidation method randomly divides all of the (non-excluded) rows in the datatable, D, into k subsets: D₁, D₂, . . . , D_k. Each row is randomly assigned to one of the k groups. First, a model is fit using all of the data. Then, K different models are fit, using the same splits, with data from D - D_i, where D_i is the holdout fold. For continuous responses, the error for each observa...

  sseligman

  JMP Knowledge Base |

  Nov 30, 2022 1:35 PM

  305 views | 0 replies

• How do I generate Multivariate Normal data within JMP®?

  The script entitled MVN.jsl attached can generate multivariate normal data. Simply supply the variance covariance matrix, a vector of means, and the desired sample size, and the script generates the data.   Also, if you are fitting a model with the Fit Model platform and want to generate factor values coming from a defined multivariate normal distribution, the Simulator in the Prediction Profiler ...

  sseligman

  JMP Knowledge Base |

  Nov 30, 2022 1:35 PM

  858 views | 0 replies

• How are the confidence limits calculated for the linearity study in JMP®?

   
  where:   = the critical value of T     = the number of levels for the Standard variable   = the sum of the number of levels for the standard divided by the number of levels for the factor      = the degrees fo freedom for the term(s) in the model       [Previously JMP Note 36125]

  sseligman

  JMP Knowledge Base |

  Nov 30, 2022 1:35 PM

  301 views | 0 replies

• Execution of an analytical process in JMP Genomics may generate error regarding script

  When executing analytical processes in a new installation of JMP Genomics, an error similar to this may occur: Script does not exist: /C:/Documents and Settings/userid/Local Settings/Application Data/JMPG/ProcessLibrary/IlluminaImportEngine.jsl This may result from the current user not being the administrator on the host machine, thus a process to generate dialogs was not executed automatically....

  Wendy_Murphrey

  JMP Knowledge Base |

  Nov 30, 2022 1:34 PM

  89 views | 0 replies