JMP Library

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• Creating 2k-r Fractional Factorial Designs

  Learn more in our free online course:
  Statistical Thinking for Industrial Problem Solving
  
  (view in My Videos)   In this video, you learn how to create 2^k-r fractional factorial designs in JMP. We’ll create a fractional design to study five 2-level continuous factors.   To create a fractional factorial design, we select DOE, then Classical, and then Screening Design.   We’ll use Y as the response n...

  jules

  Dec 3, 2021 1:02 PM

  5876 views | 0 replies

• Creating Screening Designs in the Custom Designer

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  Statistical Thinking for Industrial Problem Solving
  
  (view in My Videos)   In this video, we show how to generate a screening design using the Custom Designer in JMP. We’ll create an optimal screening design for the Heck reaction scenario, with five factors.   First, we select Custom Design from the DOE menu.   We change the response to Yield.   There are five ...

  jules

  Dec 3, 2021 1:02 PM

  2224 views | 0 replies

• Designing a Central Composite Design

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  Statistical Thinking for Industrial Problem Solving
  
  (view in My Videos)   In this video, we show you two ways to create central composite designs in JMP. First, we use the classical Response Surface Design platform, and then we create the same design using the Custom Designer.   To start, we select DOE, then Classical, and then Response Surface Design.   In th...

  jules

  Dec 3, 2021 1:02 PM

  10622 views | 0 replies

• Optimizing Multiple Responses

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  Statistical Thinking for Industrial Problem Solving
  
  (view in My Videos)   In this video, we show how to analyze an experiment with multiple responses, and how to optimize multiple responses, using the file Anodize.jmp.   In this example, a 12-run custom design with five factors was conducted. The experimental objective is to find settings of the factors to opt...

  jules

  Dec 3, 2021 1:02 PM

  7166 views | 1 replies

• Simulating Data Using the Prediction Profiler

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  Statistical Thinking for Industrial Problem Solving
  
  (view in My Videos)   In this video, we show how to do a Monte Carlo simulation in JMP using the Prediction Profiler.   We use the file Anodize.jmp. This file contains the results of a 12-run custom design with five factors and four continuous responses. The experimental objective was to find settings of the ...

  jules

  Dec 3, 2021 1:02 PM

  6759 views | 0 replies

• Creating a Validation Column (JMP Pro)

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  Statistical Thinking for Industrial Problem Solving
  
  (view in My Videos)   In this video, we show how to create a validation column in JMP Pro using the Make Validation Column utility.   We'll use the Impurity example and create a new column, Validation. We'll randomly assign 60% of the observations to the training set and the remaining 40% to the validation se...

  jules

  Dec 3, 2021 1:02 PM

  10603 views | 0 replies

• Fitting a Multiple Linear Regression Model with Validation

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  Statistical Thinking for Industrial Problem Solving
  
  (view in My Videos)   In this example, we fit a predictive model for Impurity using Fit Model with all main effects and two-way interaction terms.   The data have been partitioned into training and validation data. 60% of the observations have been randomly assigned to the training set, and 40% of the observa...

  jules

  Dec 3, 2021 1:02 PM

  7253 views | 0 replies

• Fitting a Logistic Model with Validation

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  Statistical Thinking for Industrial Problem Solving
  
  (view in My Videos)   In this video, we use the Impurity example and fit a model for the categorical response, Outcome, with the three continuous main effects, Temp, Catalyst Conc, and Reaction Time.   The data have been partitioned into training and validation data. 60% of the observations have been randomly...

  jules

  Dec 3, 2021 1:02 PM

  4444 views | 0 replies

• Changing the Cutoff for Classification

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  Statistical Thinking for Industrial Problem Solving
  
  (view in My Videos) When you fit a classification model in JMP, the probability cutoff for classification is 0.50. In this video, we see how to change the cutoff for classification using a formula column in the data table.   To apply a different cutoff, you can save the probability formula to the data table a...

  jules

  Dec 3, 2021 1:01 PM

  5326 views | 0 replies

• Creating a Classification Tree

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  Statistical Thinking for Industrial Problem Solving
  
  (view in My Videos)   In this video, we use the Chemical Manufacturing example and fit a classification tree for the categorical response, Performance.   To do this, we select Predictive Modeling from the Analyze menu, and then select Partition.   We select Performance as the Y, Response variable.   Then we s...

  jules

  Dec 3, 2021 1:01 PM

  5658 views | 0 replies

• Fitting a Regression Tree

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  Statistical Thinking for Industrial Problem Solving
  
  (view in My Videos)   In this video, we use the Chemical Manufacturing example and fit a regression tree for the continuous response, Yield.   To do this, we select Predictive Modeling from the Analyze menu, and then Partition.   We select Yield as the Y, Response variable. Then we select the two groups of pr...

  jules

  Dec 3, 2021 1:01 PM

  3008 views | 0 replies

• Fitting a Decision Tree with Validation

  Learn more in our free online course:
  Statistical Thinking for Industrial Problem Solving
  
  (view in My Videos)   In this video, we use the Chemical Manufacturing example and fit a regression tree for the continuous response, Yield. We use JMP Pro for this demo.   The acceptable yield for this process is 80%.   The data have been partitioned into training and validation data. 60% of the observations...

  jules

  Dec 3, 2021 1:01 PM

  6637 views | 0 replies

• Variable Selection with a Bootstrap Forest

  Learn more in our free online course:
  Statistical Thinking for Industrial Problem Solving
  
  (view in My Videos)   In this video, we use the Chemical Manufacturing example and fit a bootstrap forest for the continuous response, Yield. We use JMP Pro for this demo.   The acceptable yield for this process is 80%. There are 17 potential predictors, and only 90 observations. We'll use a bootstrap forest ...

  jules

  Dec 3, 2021 1:01 PM

  4549 views | 0 replies

• Fitting a Neural Network

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  Statistical Thinking for Industrial Problem Solving
  
  (view in My Videos)   In this video, we use the Chemical Manufacturing 2 data. We fit a neural network model for Yield using the options available in the standard version of JMP for this demo.   First, we select Analyze, then Predictive Modeling, and then Neural.   We start by adding Yield as the Y, Response ...

  jules

  Dec 3, 2021 1:01 PM

  5041 views | 0 replies

• Fitting a Neural Model with Two Layers

  Learn more in our free online course:
  Statistical Thinking for Industrial Problem Solving
  
  (view in My Videos)   In this example, we use the Chemical Manufacturing 2 data. We fit a neural network model for the categorical response, Performance, using all of the available predictors and the validation column. We use the options available in JMP Pro for this demo.   First, we select Analyze, then Pre...

  jules

  Dec 3, 2021 1:01 PM

  2871 views | 0 replies

• Fitting a Linear Model in Generalized Regression

  Learn more in our free online course:
  Statistical Thinking for Industrial Problem Solving
  
  (view in My Videos) In this video, we show how to fit linear models using generalized regression. We use the Chemical Manufacturing data and fit a least squares model for the continuous response, Yield. Then we fit a logistic regression model for the categorical response, Performance.   First, we fit a linear...

  jules

  Dec 3, 2021 1:01 PM

  4691 views | 0 replies

• Variable Selection in Generalized Regression

  Learn more in our free online course:
  Statistical Thinking for Industrial Problem Solving
  
  (view in My Videos) In this video, we use the Chemical Manufacturing data. We fit a logistic regression model for the categorical response, Performance, using generalized regression. Then we show how to do variable selection to reduce this model.   First, we select Fit Model from the Analyze menu. We select P...

  jules

  Dec 3, 2021 1:01 PM

  3377 views | 0 replies

• Fitting a Penalized Regression (Lasso) Model

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  Statistical Thinking for Industrial Problem Solving
  
  (view in My Videos) In this video, we show how to fit a penalized regression model using generalized regression in JMP Pro. We use the file Bodyfat 07.jmp and fit a model for %Fat using the Lasso with validation.   First, we fit a linear regression model for %Fat.   To do this, we select Fit Model from the An...

  jules

  Dec 3, 2021 1:01 PM

  9702 views | 1 replies

• Processing Unstructured Text Data

  In this article, you learn how to process unstructured text data using the file Pet Owner.jmp. This example is based on the file Pet Survey.jmp, in the JMP sample data library.

  jules

  Dec 3, 2021 1:01 PM

  3414 views | 0 replies

• Comparing and Selecting Predictive Models

  Learn more in our free online course:
  Statistical Thinking for Industrial Problem Solving
  
  (view in My Videos) In this video, we show how to compare and select predictive models in JMP Pro. We use the data set Bodyfat 07 to fit predictive models for continuous %Fat using all of the available predictors.   The column Validation 2 partitions the data into training, validation, and test sets.   We hav...

  jules

  Dec 3, 2021 1:01 PM

  6924 views | 0 replies

• Visualizing and Exploring Text Data

  Learn more in our free online course:
  Statistical Thinking for Industrial Problem Solving
  
  (view in My Videos) In this video, you learn how to visualize and explore unstructured text data using the file Pet Owner.jmp.   To analyze these data, we select Text Explorer from the Analyze menu in JMP.   We select Survey Response as the text column, and click OK to run the analysis using the default token...

  jules

  Dec 3, 2021 1:01 PM

  6895 views | 0 replies

• Add-In Builder

  (view in My Videos)   Use a JMP® Add-In to create custom menus and easily distribute JMP scripts, applications, data tables and more.  Create an Add-In with the Add-In Builder Choose File > New > Add-In (or File > New > New Add-In on the Mac).In the General Information tab, provide an Add-in Name and an Add-in ID.  In the Menu Items tab, for each menu item: Click Add Command to add the menu item...

  jules

  Dec 3, 2021 1:01 PM

  9460 views | 2 replies

• Importing PDFs - PDF Import Wizard

  (view in My Videos)     The PDF Import Wizard enables you to preview a PDF file, adjust the import settings, and view the results in the data table preview before you import the data. And to ease this process, JMP will attempt to auto-detect the data structure in the PDF file, or you can customize the structure.   Let me quickly demonstrate this by importing a PDF and Concatenating a table with t...

  ryandewitt

  Dec 3, 2021 1:01 PM

  4214 views | 0 replies

• Control Chart Builder

  (view in My Videos)   A control chart is a graphical and analytic tool for monitoring process variation. We can use Control Chart Builder to create control charts of your process data.   Here, I have the Socket Thickness sample data table, which includes measurements for the thickness of sockets. There has been an increase in the number of defects during production, and we need to investigate why...

  ryandewitt

  Dec 3, 2021 1:01 PM

  6378 views | 0 replies

• Creating Pareto Plots in JMP

  (view in My Videos) Pareto charts or Pareto plots are basically a ranked order histogram that will most likely include cumulative percentage line.  I’ll demo this in JMP using the Failure sample data set.   Pareto plots are extremely useful for analyzing what problems need attention first because the taller bars on the chart, which represent frequency, clearly illustrate which variables have the ...

  ryandewitt

  Dec 3, 2021 1:01 PM

  3607 views | 0 replies