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We are gathering some topics, to make sure the agenda for each Scripters Club is as engaging as possible. As a presenter, you can show others how you use JSL (and JMP) in your business or just as a hobby, and get feedback from others. Please use this form to share with us what kind of presentation you have in mind: https://sas.qualtrics.com/jfe/form/SV_9A0UXMsf0uSPDkq   The next Meeting will be on...

궁금합니다!

한국의 JMP사용자 그룹 회원 여러분, 새해 복 많이 받으세요! JMP 한국 지사장 민철희입니다.   지난 5년간 한국의 JMP 사용자 수는 괄목할만큼 증가하였고 다양한 경로를 통해 서로 교류하고 있지만, 여기 "한국 JMP 사용자 모임" 포럼에서는 아직 활발한 토론이 이루어지지 않고 있습니다.   한 편, 아래 숫자들은 2022년 1월 14일 09:28 현재 (한국 시간) 각각 JMP Community 전체의 가입 회원 수, 토론 수, 파일 교환 수입니다.     35,778 399,548     1,849   여러분 JMP 사용자 간의 더 활발한 토론, 질의 응답, 정보 공유를 더 잘 돕고 싶습니다. 그렇게 하는 데 있어, 이 포럼을 더 잘 활용하기 위한 방법에 대한 여러분의 아이디어와 의견이 궁금합니다...

Recordings from the JMP Scripters Club

Video 1: Introduction to JMP Scripters Club (view in My Videos)   Video 2: @Anonymous (Intel) and @alexbeck (JMP) have a conversation to answer: Why JSL? Why should a JMP user leverage JSL? What´s in it for him and the organization?How does JSL help to enable analysis, for people starting out on this journey, to benefit even more from data?And if I actually decide to get my hands on scripting, why...

Makeover Challenge Suggestion: Slider Boxes

Makeover Challenge Suggestion: Extracting elements from a report and do something with that

Makeover Challenge Suggestion: Act on clicking some line/point in a graph or on an element in a data table

Makeover Challenge Suggestion: Journal reports with Tabs

Makeover Challenge Suggestion: Sorting tables

Makeover Challenge Suggestion: Something about Loops or finding elements/values in a list/matrix/...

Atelier trucs et astuces - Session 3 : Plan d’expériences

Video 1: Comparaison de Plans  Présentateur : Damien Perret (dp30) - CEA MARCOULE
  (view in My Videos)   Video 2: Plans d´expériences et covariables  Présentateur : Olivier Brack (olivier_brack) - KSIC   (view in My Videos)   Video 3: Questions (view in My Videos)

Save the Dates: Discovery Summit Europe

Discovery Summit brings statistically minded people together to tackle the challenge of improving how data is explored, analyzed and shared.    For Discovery Europe 2022, we’re doing things a little differently! Instead of a conference over the course of several consecutive days, we’re spreading it out over the course of a couple weeks in March (in the afternoon). Don’t fret – you’ll still get the...

Save the Dates: Discovery Summit Europe

Discovery Summit brings statistically minded people together to tackle the challenge of improving how data is explored, analyzed and shared.    For Discovery Europe 2022, we’re doing things a little differently! Instead of a conference over the course of several consecutive days, we’re spreading it out over the course of a couple weeks in March (in the afternoon). Don’t fret – you’ll still get the...

Save the Dates: Discovery Summit Europe

Discovery Summit brings statistically minded people together to tackle the challenge of improving how data is explored, analyzed and shared.    For Discovery Europe 2022, we’re doing things a little differently! Instead of a conference over the course of several consecutive days, we’re spreading it out over the course of a couple weeks in March. Don’t fret – you’ll still get the same data discover...

Save the Dates: Discovery Summit Europe

Discovery Summit brings statistically minded people together to tackle the challenge of improving how data is explored, analyzed and shared.    For Discovery Europe 2022, we’re doing things a little differently! Instead of a conference over the course of several consecutive days, we’re spreading it out over the course of a couple weeks in March. Don’t fret – you’ll still get the same data discover...

Hiding and Excluding Data

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Statistical Thinking for Industrial Problem Solving

(view in My Videos)   In this video, we show how to hide and exclude observations from an analysis in JMP. When you hide observations, you remove the data from graphical displays. When you exclude observations, you remove the values from future analyses or calculations.   We’ll use the Temperature data set, w...

Adding Markers, Colors, and Row Legends

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Statistical Thinking for Industrial Problem Solving (view in My Videos)   In this video, we use the Impurity data to show how to add markers, colors, and legends to your graphs using two platforms, Graph Builder and Scatterplot Matrix.   We’ll start by creating a scatterplot using Graph Builder. To do this, we select Graph Builder from the Graph menu.   We dra...

Creating a Geographic Map Using Shape Files

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  (view in My Videos)   In this video, we show how to create a geographic map using shape files and the Mobile Cellular data.   Remember that this is data about mobile cell phone subscriptions per 100 people, from 1990 to 2017. The data set includes information on 217 countries grouped into seven regions and ...

Creating Maps Using Coordinates

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(view in My Videos)   In this video, we show how to create geographic maps using X and Y coordinates. The coordinates can be latitudes and longitudes, or they can by positions in two-dimensional space. First, we show how to create geographic maps using latitudes and longitudes with the Geographic Sales data. ...

Exploring Missing Values

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(view in My Videos)   In this video, you learn how to explore missing values using the Components data.   First, we use Columns Viewer to see how many values are missing for each of the variables. We select Columns Viewer from the Cols menu, select all of the variables, and click Show Summary.   Several varia...

Using Recode

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(view in My Videos)   In this video, you learn how to use Recode to clean supplier names in the file Components.jmp.   First, let’s take a look at the supplier names using the Distribution platform from the Analyze menu. You can see that there are 10 levels (or categories) of supplier, and that 10 observation...

Stacking and Splitting Data

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(view in My Videos)   In this video, you learn how to stack data for analysis using the file Particles.jmp.   In this scenario, you have particle data for five samples per polymer, and your data for the polymers are stored in separate columns in a data table.   You want to stack the data so that the polymer l...

Concatenating Data Tables

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Statistical Thinking for Industrial Problem Solving (view in My Videos) In this video, you see how to concatenate two data tables.   The working file, with reject data over the previous four months of the year, is stored in Rejects Data.jmp.   You would like to add new data, stored in Rejects Data New.jmp, to your original data table.   Because the two files h...

Joining Data Tables

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(view in My Videos)   In this video, you learn how to join two files together using a matching column.   The file Rejects.jmp has information about rejected parts by order number, item number, and reject code. This is your working data table.   The reject codes are two-digit codes, but they’re not descriptive...

Binning Data Using Conditional IF-THEN Statements

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(view in My Videos)   In this video, you learn how to create an IF-THEN formula to bin continuous data using the file Measles.jmp.   This data table includes data on the incidence of measles in the United States from 1928 to 2011. In this scenario, we want to create a new variable that groups data into three ...

Transforming Data

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(view in My Videos)   In this video, you learn two methods for transforming data: using virtual columns in analyses and using New Formula Column from the data table.   For this video, we use the file Queue Time.jmp. This file includes information about queue times for 100 batches of parts in a machining opera...

Creating Formulas in JMP

(view in My Videos)   This page describes two methods for creating formulas in JMP. Formulas are used to create transformed or derived variables using built-in functions, constants and/or existing variables.     Method 1 (Create Formula With Formula Editor) From an open JMP data table, select Cols > New Column.Under Column Name, assign a name for the column. In this example, we name the column %p...

Fitting a Simple Logistic Regression

Setting up the analysisSetting the value ordering column propertyInterpreting the analysisThe logistic curve graphThe parameter estimates tableSaving the predicted valuesFit details and themisclassification rate Learn more in our free online course:
Statistical Thinking for Industrial Problem Solving

(view in My Videos)   Setting up the analysis In this example, we use the Impurity Logistic data t...

Creating Histograms in JMP

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  (view in My Videos)   In this article, we show how to create histograms using the Distribution platform in JMP for the Impurity data. We also show how to interact with linked histograms to explore potential relationships between variables.   To start, we select Distribution from the Analyze menu.   We selec...

Saving Your Work Using Scripts

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(view in My Videos)   In this article, you learn how to save the steps for producing an analysis to the data table as a JMP script. This enables you to re-run the analysis again later.   To start, we run an analysis. We’ll run a distribution analysis using the Impurity data.   We select Impurity for Y, Column...

Summarizing Continuous Data with the Distribution Platform

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Statistical Thinking for Industrial Problem Solving

(view in My Videos)   In this video, we show how to create box plots and summary statistics using the Distribution platform in JMP for the Impurity data.   To start, we select Distribution from the Analyze menu.   We select Impurity for Y, Columns, and click OK. We select Stack from the top red triangle next t...

Summarizing Continuous Data with Column Viewer and Tabulate

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  (view in My Videos) In this video, we show how to summarize the continuous variables in the Impurity data set using two platforms, Columns Viewer and Tabulate. You see how to summarize categorical variables in future videos.   We begin with Columns Viewer, which can be used to summarize many variables at a t...

Creating Tabular Summaries with Tabulate

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(view in My Videos)   In this video, we show how to create tabular summaries for the Impurity data. We use Tabulate to create summary statistics for Impurity for the different reactors and shifts.   First, we select Tabulate from the Analyze menu. You can drag and drop variables and statistics to the differen...

Creating Scatterplots and Scatterplot Matrices

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  (view in My Videos) In this video, we show how to create scatterplots and scatterplot matrices for the Impurity data using Graph Builder and Scatterplot Matrix from the Graph menu.   We start by creating a scatterplot using Graph Builder.   First, we select Graph Builder from the Graph menu.   We drag Impur...

Creating Comparative Box Plots with Graph Builder

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  (view in My Videos) In this video, we show how to create side-by-side, comparative box plots for the Impurity data using Graph Builder. We use these box plots to compare the Impurity values for the different reactors and shifts.   First, we select Graph Builder from the Graph menu.   We drag Impurity to the...

Creating Run Charts (Line Graphs) with Graph Builder

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(view in My Videos) In this video, we show how to create run charts for the Impurity data using Graph Builder. We use run charts, or line graphs, to study the behavior of a characteristic over time.   First, we select Graph Builder from the Graph menu.   We drag Impurity to the Y zone, and then drag Batch to ...

Creating Tabular Summaries for Categorical Data

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(view in My Videos)   In this video, we show how to create tabular summaries of categorical data using Tabulate and Fit Y by X from the Analyze menu. We use the Chemical Manufacturing data, which has a categorical variable, Performance, with two values, Accept and Reject. Rejected batches did not have a yield...

Creating bar charts and mosaic plots

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  (view in My Videos) In this video, we show how to create bar charts and mosaic plots using Distribution, Graph Builder, and Fit Y by X. We use the Chemical Manufacturing data, which has a categorical variable, Performance, with two values, Accept and Reject. Rejected batches did not have a yield > 80%.   We...

Checking for Normality

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  (view in My Videos) In this video, we show how to check for normality using the Distribution platform and the file Four Distributions. You learn how to create and interpret a normal quantile plot, and how to fit a normal distribution to your data.   To start, we select Distribution from the Analyze menu.   ...

Finding the Area under a Curve

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(view in My Videos)   In this video, we show how to find the area under the curve of a probability distribution using the Distribution Calculator teaching module in the JMP Sample Data Index.   To start, we open the Distribution Calculator.   To do this, we go to the Help menu and select Sample Data. Then, un...

The Central Limit Theorem

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  (view in My Videos) The Central Limit Theorem makes the normal distribution particularly useful for statistical analyses.   When you analyze data, you are analyzing one sample of data from a population. If you had selected a different sample, your computed sample statistics would be slightly different.   Th...

Exploring the Central Limit Theorem

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(view in My Videos)   In this video, we illustrate the Central Limit Theorem using the Sampling Distribution of Sample Means teaching module in the JMP Sample Data Index.   To start, we open the Sampling Distribution of Sample Mean teaching module.   To do this, we go to the Help menu and select Sample Data. ...

Switching Columns in an Analysis

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(view in My Videos) In this video, we use the Chemical Manufacturing data to show how to use the Column Switcher in JMP.   The Column Switcher makes it easy to explore or analyze different variables, without rerunning the analysis each time.   To start, we need an analysis. We’ll create comparative box plots ...

Creating Sorted Bar Charts and Pareto Plots

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(view in My Videos)   In this video, we show how to create a Pareto plot using the EngineDefect 2 data. Pareto plots are used to identify the biggest issues or opportunities.   The data table includes data about 21 engine defect categories. For each defect, a count of the number of times the defect occurred w...

Creating Packed Bar Charts

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(view in My Videos)   In this video, we show how to create a packed bar chart using the S&P 500 data. Packed bar charts are useful when you have many levels of a categorical variable.   This example is from the S&P 500 from March 2017. The S&P 500 is a report of the market value (or market capitalization) for...

Using the Local Data Filter

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(view in My Videos)   In this video, we show how to use local data filtering in JMP. Data filtering makes it easy to update a graph or an analysis based on values of other variables in the data set.   We use the Scrapped Parts scenario for illustration. This is data about scrapped parts collected for 811 batc...

Creating a Tree Map

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(view in My Videos)   In this video, we show how to create a tree map using the S&P 500 data. Tree maps show values as rectangles in a rectangular display and are useful when you have categorical data with many levels.   This example is from the S&P 500 from March 2017. The S&P 500 is a report of the market v...

Creating Trellis Plots and Using Overlay Variables

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(view in My Videos)   In this video, we show how to graph multidimensional data using trellis plots and overlay variables with the Mobile Cellular data.   This is data about mobile cell phone subscriptions per 100 people, from 1990 to 2017. The data set includes information about 217 countries grouped into se...

Creating Bubble Plots

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(view in My Videos)   In this video, we show how to create bubble plots using the Mobile Cellular data. This is data about mobile cell phone subscriptions per 100 people, from 1990 to 2017.   A bubble plot is like a scatterplot, but you can add animations and extra dimensions.   We are interested in exploring...

Creating Heat Maps

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(view in My Videos)   In this video, we show how to create heat maps using the Mobile Cellular data.   This is data about mobile cell phone subscriptions per 100 people, from 1990 to 2017. The data set includes information on 217 countries grouped into seven regions and four income groups.   In a heat map, th...

Customizing Graphs

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(view in My Videos)   In this video, you learn how to customize graphics in Graph Builder with the file Process Yield.jmp. You see how to change titles and labels, change axes, add reference lines, customize legends, change colors, and annotate graphs.   This example involves the average monthly yield for two...

Organizing Your Saved Scripts

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(view in My Videos)   In a previous video, you learned how to save the steps for producing an analysis to the data table as a JMP Script. This enables you to re-run the analysis later.   Saving scripts to the data table is also an efficient way to save your analysis workflow and to share your analysis steps w...

Combining JMP Scripts for Analyses

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(view in My Videos)   In this video, you learn how to combine scripts for different analyses into one script using the file Impurity for Scripts.jmp.   Scripts for three analyses have been saved to the data table.   To start, we run the three saved scripts, one at a time. This produces distribution output for...

Sharing Static Output

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(view in My Videos)   In this video, you learn how to copy and paste static output into another program, and how to save static output in an image format.   To start, we run an analysis. We’ll run a distribution analysis using the Impurity data. We select Outcome for Y, Columns, and click OK to run the analys...

Saving Your Work in a JMP Journal

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(view in My Videos)   In this video, you learn how to save your analysis workflow and results in a JMP journal.   To start, we run the three saved scripts in the file Impurity for Scripts.jmp.   At this point, our analysis includes Distribution output for Impurity and Outcome, box plots for Impurity and React...

Creating an I and MR Chart Using the Control Chart Builder

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(view in My Videos)   An individual and moving range, or I and MR, chart is used to monitor individual measurements over time.   In this video, we show how to create an I and MR chart using the Control Chart Builder with the White Polymer Crisis Team data.   Recall that, in this scenario, an improvement team ...

Testing for Special Causes in the Control Chart Builder

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(view in My Videos)   In this video, we show how to conduct tests for special causes on an I and MR chart using the Control Chart Builder with the White Polymer Crisis Team data.   Recall that, in this scenario, an improvement team is tasked with improving Yield, and that Yield is related to both MFI and CI. ...

Creating X-bar and R and X-bar and S Charts

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(view in My Videos)   In this video, we show how to create X-bar and R and X-bar and S charts using the Control Chart Builder and the Metal Parts example. For this scenario, the thickness of five consecutive parts is produced every hour.   First, we select Control Chart Builder from the Analyze menu under Qua...

Creating 3-Way Control Charts

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(view in My Videos)     In this video, we show how to create a 3-way control chart for the Vial Fill Weights data using the Control Chart Builder.   A version of this file is available in the Sample Data Library in JMP under the Help menu, within the Quality Control folder.   In this example, we are studying ...

Adding Phases to Control Charts

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(view in My Videos)   In this video, we show how to add a phase variable to an X-bar and R chart using the Control Chart Builder.   We’ll use the Metal Parts example to see whether there a difference in Thickness before and after implementing process changes. The target thickness is 40 hundredths of an inch. ...

Calculating Capability Indices Using the Distribution Platform

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(view in My Videos)   In this video, we show how to compute capability indices for the Metal Parts example using the Distribution platform in JMP.   To start, we select Distribution from the Analyze menu.   We select Thickness for Y, Columns, and click OK.   To calculate capability indices, we select Process ...

Conducting a Capability Analysis Using the Control Chart Builder

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(view in My Videos)   In this video, we show how to compute capability indices for the Metal Parts example using the Control Chart Builder.   First, we select Control Chart Builder from the Analyze menu under Quality and Process.   We drag the column Thickness into the Y drop zone. Then we drag and drop Hour ...

Estimating Capability for Nonnormal Data

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(view in My Videos)   In this video, we show how to compute capability indices for nonnormal data using the Impurity data and the Distribution platform in JMP.   To start, we select Distribution from the Analyze menu.   We select Impurity for Y, Columns, and click OK.   The distribution appears to be right sk...

Identifying Poorly Performing Processes

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(view in My Videos)   In this video, we show how to identify poorly performing processes in JMP using the Semiconductor Capability data, found in the Sample Data library.   This table has 128 process variables grouped together in the columns panel. Each variable has the spec limits saved as a column property....

Creating a Gauge Study Worksheet

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(view in My Videos)   To design a measurement system study in JMP, we’ll use a script called Gauge Study Design.jsl. This script is in your course data, and a variation of this script is also available in the File Exchange on the JMP User Community.   We’ll design a study with three inspectors measuring 10 pa...

Visualizing Measurement System Variation

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(view in My Videos)   For this video, we use the file Micrometer.jmp to demonstrate how to visualize the results of a measurement system analysis in JMP.   We use the Gauge R&R MSA method in the Measurement Systems Analysis platform to create variability charts, we and use the EMP method to create average and...

Analyzing an MSA, EMP Method

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(view in My Videos)   For this video, we use the file Micrometer.jmp to demonstrate how to analyze an MSA in JMP.   In this MSA, the measurement system of interest is a hand micrometer, and the quality characteristic is the diameter of metal bearings. The study involves three inspectors measuring 10 parts, wi...

Conducting a Gauge R&R Analysis

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(view in My Videos)   In this video, we use the file Micrometer.jmp to demonstrate how to conduct a Gauge R&R analysis in JMP.   In this study, the measurement system of interest is a hand micrometer, and the quality characteristic is the diameter of metal bearings. The study involves three inspectors measuri...

Analyzing Measurement System Bias

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(view in My Videos)   In this video, we use the file Area MSA Exercise Final.jmp to demonstrate how to analyze bias in the Measurement Systems Analysis platform.   In this study, the measurement system of interest is the area of several objects, measured by different inspectors. The true value, or standard, i...

Understanding the Confidence Level and Alpha Risk

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(view in My Videos)   In this video, we use a simulation to construct confidence intervals at different confidence levels, and we explore what it means to be statistically “confident.”   We use the Confidence Interval for the Population Mean teaching module for illustration. This module is available from the ...

Calculating Confidence Intervals

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(view in My Videos)   In this video, you learn how to construct a 90% confidence interval for the mean using the Impurity data.   To do this, we use the Distribution platform from the Analyze menu. We select Impurity as the Y, Column and click OK.   A 95% confidence interval is provided, by default, in the Su...

Calculating Prediction and Tolerance Intervals

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(view in My Videos)   In this video, you learn how to construct prediction intervals and tolerance intervals in JMP using the file Diameter 04.jmp. This data set contains diameter measurements for 100 parts, collected in rational subgroups.   First, we create a distribution analysis for Diameter. To do this, ...

Conducting a One-Sample t Test

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(view in My Videos)   In this video, you learn how to conduct a one-sample t test using the file Diameter Test.jmp. This data set contains diameter measurements for 50 randomly selected parts.   First, we run a distribution analysis for Diameter. To do this, we use the Distribution platform from the Analyze m...

A Two-Sample t Test

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(view in My Videos)   In this video, you learn how to conduct a two-sample t test using the file Breaking Strength.jmp.   In this scenario, the characteristic of interest is the breaking strength of a part in ksi (kilos per square inch). Parts are typically made using Material 1, but they can also be made usi...

Performing a Paired t-Test

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(view in My Videos)   In this video, we show how to conduct a matched pairs t-test using the file Therm.jmp from the Sample Data Library under the Help menu in JMP.   In this scenario, we compare temperature readings on 20 people, taken with two different types of thermometers. For each person, there are two ...

Estimating Capability for Nonnormal Data

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Statistical Thinking for Industrial Problem Solving

(view in My Videos)   In this video, you learn how to compare more than two means using one-way analysis of variance, or ANOVA. For this video, we use the file Michelson 1879.jmp in the course data. In this scenario, we test the null hypothesis that the mean velocity is equal for all five trials against the a...