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• Simulating Data Using the Prediction Profiler

  Learn more in our free online course:
  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

  Learning Library |

  Dec 3, 2021 1:02 PM

  6179 views | 0 replies

• Creating a Validation Column (JMP Pro)

  Learn more in our free online course:
  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

  Learning Library |

  Dec 3, 2021 1:02 PM

  10124 views | 0 replies

• Fitting a Multiple Linear Regression Model with Validation

  Learn more in our free online course:
  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

  Learning Library |

  Dec 3, 2021 1:02 PM

  6920 views | 0 replies

• Fitting a Logistic Model 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 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

  Learning Library |

  Dec 3, 2021 1:02 PM

  4166 views | 0 replies

• Changing the Cutoff for Classification

  Learn more in our free online course:
  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

  Learning Library |

  Dec 3, 2021 1:01 PM

  5055 views | 0 replies

• Creating a Classification Tree

  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 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

  Learning Library |

  Dec 3, 2021 1:01 PM

  5375 views | 0 replies

• Fitting a Regression Tree

  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.   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

  Learning Library |

  Dec 3, 2021 1:01 PM

  2797 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

  Learning Library |

  Dec 3, 2021 1:01 PM

  6309 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

  Learning Library |

  Dec 3, 2021 1:01 PM

  4201 views | 0 replies

• Fitting a Neural Network

  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 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

  Learning Library |

  Dec 3, 2021 1:01 PM

  4681 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

  Learning Library |

  Dec 3, 2021 1:01 PM

  2615 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

  Learning Library |

  Dec 3, 2021 1:01 PM

  4125 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

  Learning Library |

  Dec 3, 2021 1:01 PM

  3061 views | 0 replies

• Fitting a Penalized Regression (Lasso) Model

  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 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

  Learning Library |

  Dec 3, 2021 1:01 PM

  8934 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

  Learning Library |

  Dec 3, 2021 1:01 PM

  3200 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

  Learning Library |

  Dec 3, 2021 1:01 PM

  6555 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

  Learning Library |

  Dec 3, 2021 1:01 PM

  6492 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

  Learning Library |

  Dec 3, 2021 1:01 PM

  8215 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

  Learning Library |

  Dec 3, 2021 1:01 PM

  3953 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

  Learning Library |

  Dec 3, 2021 1:01 PM

  5699 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

  Learning Library |

  Dec 3, 2021 1:01 PM

  3098 views | 0 replies

• Definitive Screening Design

  (view in My Videos)   Investigators use screening designs when they want to identify the factors that have the most substantial effects on a response.
  
  A screening design enables you to study a large number of factors in a fairly small experiment.
  ​
  [On Screen]
  Many standard screening designs focus on estimating main effects.
  ​
  Definitive Screening Designs can avoid model ambiguity, enabling you to id...

  ryandewitt

  Learning Library |

  Dec 3, 2021 1:01 PM

  4719 views | 2 replies

• Using the Excel Import Wizard

  (view in My Videos)   Using the JMP Excel Import Wizard   In JMP 12 for Mac and earlier versions of JMP for Windows, opening a Microsoft Excel file launches the Excel Import Wizard.   The Wizard is especially helpful when the structure of Excel data is irregular.   For example, you might want to exclude columns or convert the text in the third row to JMP column headings.   To open a Microsoft E...

  ryandewitt

  Learning Library |

  Dec 3, 2021 1:00 PM

  8209 views | 1 replies

• Creating Dashboards

  (view in My Videos)       In this short video I’ll walk you through the process of combining multiple reports with the JMP Dashboard Builder available in the most recent versions of JMP.   Here in JMP, I have some freely available web Football data that has been joined together in a single data table.  Look for the links below if you’re interested in creating the same dashboard.    JMP 13 introd...

  ryandewitt

  Learning Library |

  Dec 3, 2021 1:00 PM

  6718 views | 0 replies

• Multiple Regression, Multicollinearity, and Model Building - Housing Prices

  Produced by: Marlene Smith University of Colorado Denver Business School Background A real estate company that manages properties around a ski resort in the United States wishes to improve its methods for pricing homes.  Data is readily available on a number of measures, including size of the home and property, location, age of the house, and a strength-of-market indicator.  The Task             ...

  jules

  Learning Library |

  Nov 29, 2021 10:40 AM

  12394 views | 0 replies