cancel
Turn on suggestions
Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.
Showing results for 
Show  only  | Search instead for 
Did you mean: 
  • Register to attend Discovery Summit 2025 Online: Early Users Edition, Sept. 24-25.
  • New JMP features coming to desktops everywhere this September. Sign up to learn more at jmp.com/launch.

Learning Library

Choose Language Hide Translation Bar

Latest Posts

  • Mapping in Graph Builder

    Use the Graph Builder to create interactive maps of U.S. states, U.S. counties, and worldwide countries and provinces. JMP® ships with these shape files. Other shape files (e.g., ESRI) can be used or you create your own custom maps. Basic Mapping From an open JMP data table, select Graph > Graph Builder.Drag a shape variable from the Variables list (for example, State) to main drop zone.Drag vari...

    gail_massari gail_massari
    Learning Library |
    Aug 25, 2025 7:09 AM
    46 views | 0 replies

  • Summarizing Data Using Tabulate

    The Tabulate platform provides a tool to interactively construct tables of descriptive statistics.    Drag and Drop to Summarize Data From an open JMP® data table select Analyze > Tabulate.Drag and drop variables from the column list to the drop zone for rows and columns.  Country (below, left) is in the rows drop zone – the number of observations per country is displayed.Horsepower (middle) is i...

    gail_massari gail_massari
    Learning Library |
    Aug 25, 2025 7:04 AM
    36 views | 0 replies

  • Bubble Plot

    Use a Bubble Plot to explore the relationship between two continuous variables and how the values change over time. Bubble color and size can be used to incorporate additional variables.  Bubble Plot From an open JMP® data table select Graph > Bubble Plot.Drag a continuous variable into the Y and X roles.Place one or more variables into the ID role so that labels can be added to the bubbles (opti...

    gail_massari gail_massari
    Learning Library |
    Aug 25, 2025 6:59 AM
    59 views | 0 replies

  • Interactive Graphing with Graph Builder

    Use Graph Builder to interactively create graphs for one or more variables, including line plots, splines, box plots, bar charts, histograms, mosaic plots, maps and more.  Drag and Drop to Visualize Data From an open JMP® data table select Graph > Graph Builder.Drag a variable from the Variables list and drop it in the desired drop zone. In the examples (right), Weight is in the X zone and Height...

    gail_massari gail_massari
    Learning Library |
    Aug 25, 2025 6:51 AM
    90 views | 0 replies

  • Run Charts (Line Graphs)

    Use to display continuous data in time sequence. Run Charts are very useful to discover trends and patterns over time and to make comparisons to other variables or groups. Run Charts (Graph Builder) From an open JMP® data table, select Graph > Graph Builder.Drag a variable (or multiple variables at once) from the Variables list and drop in the Y zone. (e.g., ‘gross private domestic investment’ an...

    gail_massari gail_massari
    Learning Library |
    Aug 25, 2025 6:47 AM
    37 views | 0 replies

  • Box Plots

    Use to display the distribution of continuous variables. Boxplots are based upon a set of summary statistics that describe the center and spread of data. Boxplots are a very useful way for comparing data bewteen groups. Box Plots – One Variable From an open JMP® data table, select Analyze > Distribution.Click on one or more continuous variables from Select Columns, and Click Y, Columns (continuou...

    gail_massari gail_massari
    Learning Library |
    Aug 25, 2025 6:40 AM
    37 views | 0 replies

  • Scatterplots

    Use to display the relationship between two continuous variables. Multiple scatterplots can be displayed together in a matrix plot. Scatterplots – Two Variables From an open JMP® data table, select Analyze > Fit Y by X.Click on a continuous response (or dependent) variable in Select Columns, and Click Y, Columns.Click on a continuous predictor (or independent) variable, and click X, Factor. Click...

    gail_massari gail_massari
    Learning Library |
    Aug 25, 2025 6:39 AM
    34 views | 0 replies

  • Monte Carlo Simulation

    The JMP Profiler, with the Monte Carlo Simulator, can be used to optimize process performance in the presence of random variation. This enables you to estimate response distributions as a function of real-world random variation. Monte Carlo simulation is available from JMP Prediction Profilers using the Simulate red triangle option. Example Setup                                                   ...

    gail_massari gail_massari
    Learning Library |
    Aug 22, 2025 1:01 PM
    37 views | 0 replies

  • Evaluate and Compare Designs

    Use the Evaluate Design platform to assess the properties of an experimental design. To compare alternative designs, use the platform Compare Designs. Evaluate Design Most DOE platforms in JMP provide an Evaluate Design outline to assess a design before making the design table to run the experiment. The platform Evaluate Design shows the same diagnostics for any existing design, and can also be u...

    gail_massari gail_massari
    Learning Library |
    Aug 22, 2025 12:57 PM
    48 views | 0 replies

  • DOE - Custom Designs

    This guide provides instructions on designing optimal experiments using the flexible Custom Design platform. The Custom Designer can be used for almost any experimental situation, including factor screening, optimization, and mixture problems, and can accommodate designs with hard-to-change factors and other constraints. DOE: Generating A Custom Design Select DOE > Custom Design.Under Responses, ...

    gail_massari gail_massari
    Learning Library |
    Aug 22, 2025 12:50 PM
    64 views | 0 replies

  • DOE Screening Experiment Analysis

    This guide provides instructions on analyzing screening experiments (e.g., fractional factorial) using the Fit Two Level Screening platform. Though the Fit Model platform can also be used, the Fit Two Level Screening platform produces graphs and analysis results designed for identifying the important effects in a fully saturated experiment. This example is a 20 run 2^5 screening experiment generat...

    gail_massari gail_massari
    Learning Library |
    Aug 22, 2025 12:48 PM
    53 views | 0 replies

  • DOE Fractional Factorial Analysis

    This guide provides instructions on analyzing fractional factorial experiments (experiments where not every possible treatment combination in a full factorial design is run) using the Fit Model platform.
    Specify the Model and Analyze Experiments designed in JMP® will have a Model script saved to the data table. The model specification window will be populated with this model. To generate the model...

    gail_massari gail_massari
    Learning Library |
    Aug 22, 2025 12:43 PM
    29 views | 0 replies

  • DOE Fractional Factorial Design

    This guide provides instructions on designing a fractional factorial experiment using the Screening Design platform. Fractional factorial experiments are used when it's more efficient to not perform an experimental run for every possible treatment combination as is done in a full factorial design.   Create the Design (Screening Design) Open the platform under DOE > Classical > Two Level Screening...

    gail_massari gail_massari
    Learning Library |
    Aug 22, 2025 12:37 PM
    46 views | 0 replies

  • DOE Full Factorial Analysis

    This guide provides information on analyzing a full factorial experiment (experiments where every possible treatment combination is run). For instructions on designing of full factorial experiments, see the DOE Full Factorial Design guide. Specify the Model and Analyze From an open JMP® table (for a completed full factorial experiment) select Analyze > Fit Model.
    Note: The Fit Model platform can a...

    gail_massari gail_massari
    Learning Library |
    Aug 22, 2025 12:31 PM
    29 views | 0 replies

  • DOE Full Factorial Design

    This guide provides instructions on designing a full factorial experiment. A full factorial experiment in where every possible treatment combination will be studied. For analysis of full factorial experiments, see the DOE Full Factorial Analysis guide. Create the Design (Full Factorial Design) Open the platform under DOE > Classical > Full Factorial Design.Specify the Response(s): Double-click on...

    gail_massari gail_massari
    Learning Library |
    Aug 22, 2025 12:27 PM
    37 views | 0 replies

  • Accelerated Life Testing (Fit Life by X)

    Use to model the relationship a factor has on the time-to-event. It is often used to model a factor that accelerates the event as a means to predict the time-to-event for normal operating conditions where failures do not frequently occur. This platform is able to analyze data that is censored (incomplete).  Accelerated Testing (Fit Life by X) From an open JMP® data table, select Analyze > Reliabi...

    gail_massari gail_massari
    Learning Library |
    Aug 22, 2025 12:21 PM
    35 views | 0 replies

  • Survival Analysis (Kaplan-Meier Estimation)

    Use to estimate survival (or failure) rates. Kaplan-Meier estimation methods (also known as  product limit estimation) is a non-parametric method and thus does not require many assumptions typically required in parametric methods (e.g., not needing to assume a specific probabiliy distribution to model the data). The method can be used with censored (incomplete) data. Note: Though frequently used ...

    gail_massari gail_massari
    Learning Library |
    Aug 22, 2025 12:16 PM
    32 views | 0 replies

  • Distribution Fitting (Life Distribution)

    Use to model a single continuous variable with a probability distribution and estimate a variety of parameters (e.g., mean, percentiles, probabilities). This platform is designed to fit and compare many different distributions and can analyze data that is censored (incomplete). Note: Though frequently used to analyze time-to-event data, the analysis methods can be used to model any continous varia...

    gail_massari gail_massari
    Learning Library |
    Aug 22, 2025 12:16 PM
    44 views | 0 replies

  • MSA Attribute Data

    Use to evaluate the performance of a categorical based measurement system (e.g.,  pass or fail, classification of parts into multiple categories, ordinal ratings). This analysis is often used to assess the ability of observers (appraisers) to correctly and consistently classify inspected items. Attribute Measurement Systems Analysis Select Analyze > Quality and Process > Variability / Attribute G...

    gail_massari gail_massari
    Learning Library |
    Aug 21, 2025 2:20 PM
    35 views | 0 replies

  • MSA Continuous Data – EMP Method

    This guide provides instructions on performing a measurement system analysis (MSA) using the EMP (Evaluating the Measurement Process) method. This analysis is designed to evaluate and certify the performance of a measurement system that produces continuous data. Measurement Systems Analysis: EMP Method Select Analyze > Quality and Process > Measurement System Analysis.Click on a continuous variab...

    gail_massari gail_massari
    Learning Library |
    Aug 21, 2025 2:07 PM
    37 views | 0 replies

  • MSA Continuous Data – Gauge R&R

    This guide provides instructions on creating a variability chart and performing a gauge R&R (Repeatability and Reproducibility) measurement system analysis (MSA). This analysis is designed to evaluate and certify the performance of a measurement system that produces continuous data. For information on using the EMP (Evaluating the Measurement Process) method, see the MSA Continuous Data – EMP Meth...

    gail_massari gail_massari
    Learning Library |
    Aug 21, 2025 2:03 PM
    80 views | 0 replies

  • Capability Analysis for Multiple Responses

    This guide provides instructions on performing a process capability analysis for multiple continuous process variables simultaneously. This platform produces a set of reports and graphs that are designed to compare the performance of the different process variables to each other.    The Capability Analysis Dialog                                                                               From a...

    gail_massari gail_massari
    Learning Library |
    Aug 21, 2025 1:57 PM
    43 views | 0 replies

  • Process Capability Analysis

    This guide provides instructions on performing a capability analysis using the Distribution and Control Chart platforms. A process capability analysis is used to evaluate the performance of a process for a continuous variable to specifications (Lower and/or upper specification limit, and/or target). See Capability Analysis for Multiple Responses guide for performing process capability analyses on ...

    gail_massari gail_massari
    Learning Library |
    Aug 21, 2025 1:54 PM
    47 views | 0 replies

  • Tolerance Interval

    Use to produce an interval estimated to contain a specified proportion of a population. Tolerance Interval for Proportion (Normal Distribution) From an open JMP data table, select Analyze > Distribution.Select one or more continuous variables from Select Columns, click Y, Columns (continuous variables have blue triangles), and click OK.From the Distributions report window, select Tolerance Interv...

    gail_massari gail_massari
    Learning Library |
    Aug 21, 2025 1:49 PM
    37 views | 0 replies

  • Attribute Control Charts – C and U Charts

    This guide provides instructions on creating C and U attribute control charts. C charts are often used to plot the number of nonconformities (or defects) in a subgroup that usually, but not necessarily, consists of one inspection unit, while U charts are often used to plot the number of nonconformities per unit, where the number of units per subgroup can vary.     C Charts From an open JMP® data ...

    gail_massari gail_massari
    Learning Library |
    Aug 21, 2025 1:39 PM
    49 views | 0 replies

Filter By

Analytic Capabilities

Language

Industry

Functional Group