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Learning Resources

Latest Discussions

  • Variance Components & Spec Setting

    Hello all, I am trying to set a bias specification for samples run on an ELISA test involving calibrations. I know I get calibration to calibration and run to run (within calibration) variation in the observed bias when I run, say, 20 samples.   I want to explore both cal to cal and run to run variation and use the info to set an appropriate spec. I am having trouble finding a resource to read up ...

    BigJasonB BigJasonB
    Discussions |
    Apr 12, 2019 9:46 AM
    3291 views | 2 replies
  • How does JMP Pro compute the RSquare for neural networks and bootstrap forests?

    Dear all, I am wondering how does JMP compute the RSquare for neural nets and bootstrap forest? What are the formulas? For example, I know the calculation of RSquare for least square regression: "RSquare: Estimates the proportion of variation in the response that can be attributed to the model rather than to random error. Using quantities from the corresponding Analysis of Variance table, RSquare ...

    S_Xue S_Xue
    Discussions |
    Apr 12, 2019 7:47 AM
    12931 views | 3 replies
  • To label outliers and export to Excel spreadsheet

    Good day, can you help with a question in exporting/labeling ourliers? As the screenshot, the Outliers were identified by using Analyze > Screening > Explore Outliers. They are excluded in the table. How can I export the data into an Excel spreadsheet with these Outliers identified, (for example in a new column) Thank you.   

    JohnP JohnP
    Discussions |
    Apr 12, 2019 1:56 AM
    10576 views | 7 replies
  • Difference Between Stepwise | All Possible Models and Generalized Regression | Best Subset

    Hello, I just wanted to know what the difference was between using Stepwise - All Possible Models estimation and the Generalized Regression - Best Subset estimation method.  It seems to me that they should produce equal results if there response is normally distributed.  I have JMP 14 32-bit and found that I can run larger max effects using Best Subset, than I can with All Possible Models due to m...

    texas_stats texas_stats
    Discussions |
    Apr 11, 2019 5:55 PM
    6021 views | 4 replies
  • Control charts Alarm Script: identify rows into data table

    I would identify the rows associated with the triggered alarms. The handler that is called when alarms are triggered receive the information about the points, in particular qc_sample (and qc_firstRow qc_lastRow). This should be perfect if there is just one chart. The sample identify the row of the table if we have individual measurements. Unfortunately, I have a BY column that splits into many cha...

    antonio-domenic antonio-domenic
    Discussions |
    Apr 11, 2019 7:13 AM
    4774 views | 1 replies

Latest Discussions

  • Variance Components & Spec Setting

    Hello all, I am trying to set a bias specification for samples run on an ELISA test involving calibrations. I know I get calibration to calibration and run to run (within calibration) variation in the observed bias when I run, say, 20 samples.   I want to explore both cal to cal and run to run variation and use the info to set an appropriate spec. I am having trouble finding a resource to read up ...

    BigJasonB BigJasonB
    Discussions |
    Apr 12, 2019 9:46 AM
    3291 views | 2 replies
  • Difference Between Stepwise | All Possible Models and Generalized Regression | Best Subset

    Hello, I just wanted to know what the difference was between using Stepwise - All Possible Models estimation and the Generalized Regression - Best Subset estimation method.  It seems to me that they should produce equal results if there response is normally distributed.  I have JMP 14 32-bit and found that I can run larger max effects using Best Subset, than I can with All Possible Models due to m...

    texas_stats texas_stats
    Discussions |
    Apr 11, 2019 5:55 PM
    6021 views | 4 replies
  • Plot conventional and reverse CDF on same plot by grouping variable

    Hello,Have a question on CDF plots on the distribution platformI would like to plot the CDF of two variables say Y1 and Y2 which are on the same numerical scale but differ by the range/. For example Y1 from 0-100 and Y2 from 0 to 1000. I want to plot Y1like a regular CDF plot with the CumProb going from 0 to 1 and X1 values increasing from 0 to 100.For Y2, I want the X2 to be in decreasing order f...

    theseventhhill theseventhhill
    Discussions |
    Apr 11, 2019 3:14 AM
    5490 views | 2 replies
  • Add Pin Annotation

    Hello JMP community,having to solve an issue whit adding Add Pin Annotation.how to add a pin annotation to a script for graph builder?X is working week. The pin should only be visible on latest week dataY is 4 parameters but I only want the PIN annotation for 1 of themI found following script in the help section bit it doesn't help meNames Default To Here( 1 );//This message applies to all display...

    KinKame KinKame
    Discussions |
    Apr 9, 2019 9:57 AM
    4951 views | 1 replies
  • Animated Forward Curve Graph

    May I ask whether JMP allows me to build an animated forward curve graph as attached.   https://timera-energy.com/the-dangers-of-mixing-forecasts-and-forward-curves/  

    yongthanyee yongthanyee
    Discussions |
    Apr 9, 2019 9:22 AM
    5668 views | 3 replies

Latest Discussions

  • Selecting Number of Clusters in Hierarchical Clustering

    One way to select possible number of clusters in hierarchical methods is to identify the relatively large changes in distance as number of clusters change (see table below). When I look at the actual distance measure from the table (clustering history below dendogram), there is a bigger jump from 3 clusters to 4 than from 4 to 5 (smaller), suggesting 4 may be the right decision. However, when you ...

    pratyushdash pratyushdash
    Discussions |
    Feb 23, 2019 5:51 PM
    2541 views | 0 replies
  • Beta Generalized Regression and adjusted chi-square values

    I have a data set from a two-choice rodent feeding trial. We were testing the effectiveness of 10 deterrents by coating them on seeds and offering them to rodents alongside control seeds that were uncoated. The explanatory variable is which of the 10 deterrents the treatment seed was coated with, and the response variable is the proportion of control seed and treatment seed consumed.  The question...

    Mananahi Mananahi
    Discussions |
    Feb 13, 2019 9:58 AM
    1988 views | 0 replies
  • DF Dens for repeated measures ANOVAs

    Dear JMP Community, When I run repeated measures ANOVAs with JMP (RMS, with Subject as a random factor), I have noticed that when a certain factor is crossed with Subject, the corresponding DF Den stays independent while the DF Dens for the other factors are put together as “Residual”.  Please see Images 1-3 of the attached file on how “DF Den” under “Test Denominator Synthesis” change across imag...

    mu mu
    Discussions |
    Feb 6, 2019 8:10 AM
    3304 views | 0 replies
  • Partition and Pruning

    I'm working with a dataset of about 27,000 rows and am trying to use 9 factors to predict a response using the partition function and a decision tree.  I'm using both k-means and validation.  When I tell JMP to Go, it will split 100-200 times, however the Split History shows me very little improvement after about 20 splits. For what I'm trying to do, I want to back up to the 20th split, but I don'...

    NG NG
    Discussions |
    Jan 30, 2019 8:25 AM
    2953 views | 0 replies
  • I want to use LASSO and Group LASSO in JMP

    I'm involved in a project where we are applying lasso to build a logistic regression model from a "black box" set of predictors.  I need to get JMP Pro before trying out JMP's implementation.  I'm doing all the analysis in R at present.  Does JMP Pro also include group lasso?  I've found through using JMP Cluster Variables (CLUSVAR) that I can naturally group my predictors prior to group lasso.  F...

    gene gene
    Discussions |
    Nov 2, 2018 7:43 AM
    2234 views | 0 replies
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