JMP Add-Ins
Download and share JMP add-ins
Download and share JMP add-ins
Download and share JMP scripts
Download and share JMP sample data
This script calculates the mean, Stdev, CV, and their associated confidence intervals of a numeric analysis column, based on a selected Alpha, tabulated by selected groups.
The Distance Tool add-in allows you to measure distances on graphs and plots you've made in JMP. The tool is very easy to use as it uses a drag and drop control scheme to perform measurements. The figure below shows the tool's main command window and the various options available to you.In addition to measuring distances, the tool also allows you to trace out a path or polygon shape and measure th...
yho
Game: run around with the pumpkins. It is a JMP add-in, so you can see the JSL source from view->add ins->(pick me!)->click on Home folder. Add-ins are easy to install, just download and drop on JMP, or double click, or file->open. You'll find it in the Add-Ins menu.It uses the MouseBox, GraphBox, Scheduler, KDTable, Speak, MoveWindow, and the OnClose message, as well as a couple of Unicode val...
This add-in adds a menu item (under the Add-ins menu) to copy the currently selected item in JMP without the default window background. This is especially useful when copying graphical output to a document with a white background (such as publications and websites).Instructions for use:1. Install add-in by double-clicking downloaded file.2. Select a graph using the selection tool (fat plus sign).3...
This script prompts the user to enter a value for a random draw from 1 to n. The resulting number is displayed in a second window. For instructional purposes this script utilizes two different methods for drawing a window, Dialog() and New Window(). Instructions: Run the script and enter a value. Click "OK" to draw a random number from 1 to the value entered.
A common requirement is to plot and review bivariate data when there is a measured or assumed uncertainty in both the X and Y value. For example, such uncertainty might be measured as a standard deviation.Using a table like this:and assigning columns to the following roles:this add-in produces a plot like this:in which the uncertainty of each point is shown by the 'cross hairs'.
ian_jmp
Simple visualisation of pairwise transactional data between 'buyers' and 'sellers':The add-in requires you to select a 'buyer' and 'seller' column in a table in which each row is a single transaction.
ian_jmp
This addin will help you to visualize 3-dimensional data whose coordinates are cylindrical.First, choose the appropriate columns from your data:The “Controls” panel lets you apply filters, alter the graph in the “Cylindrical View” panel, and rotate the graphs in the other two panels.The graph in the “Top-Down” panel provides a look at the data from above, while the “Broadside View” panel lets you ...
Use this prototype to launch JMP platforms to support the Six Sigma.The sample menu file adds a new menu item labeled Six Sigma Tools to the JMP default menu system. Under the new menu item are analytics that fit each step of the DMAIC roadmap.JMP 11 and JMP 12 Six Sigma Menu Add-in use SixSigmaJMP11-12.jmpaddinJMP 9 Six Sigma Menu Add-in use JMPSixSigmaTools.jmpaddinJMP 7 Six Sigma Menu Add-in us...
ltw
A data table useful for illustrating the use of multivariate T**2 control charts for Phase II monitoring of process performance.
Peter_Bartell
A data table used to illustrate multivariate T**2 control charts for phase I evaluation of process characteristic stability.
Peter_Bartell
A JMP data table useful for illustrating use of individuals and moving range control charts.
Peter_Bartell
This Data Summary application summarizes several aspects about a folder of sample data files, including: subfolders, number of rows, number of columns, number of table scripts.The most powerful capability is searching all of the table scripts by JMP platform, allowing ease of navigation and finding certain types of tables. It was made especially for perusing the JMP Sample Data tables more easily,...
The Micromaps addin offers a new way to look at geographic data in JMP using Graph Builder.Conditional Micromaps allow the user to look at trends between regions and additional variables such as X, Y, and Color.Comparative Micromaps are designed to allow the user to examine trends over time, focusing on the areas that changed. JMP 10 or higher required.
This simple add-in creates a bar chart of the parameter estimates to Fit Least Squares to aid the interpretation. It is especially useful when analyzing a design experiment.Simply open the add-in file to register it with JMP for use.Open the data table and fit your model using the Fit Least Squares platform so that the Parameter Estimates report is available. This example uses the Popcorn DOE Resu...
This add-in transforms two or more data columns of data so that the results are quantile-quantile normalized. This transformation allows for direct comparison of two or more columns because the original values are replaced by the mean rank.Simply open the add-in file to register it with JMP for use.Open the data table containing all of the data columns to be compared, then select Add-Ins > Quantil...
This script demonstrates a new graphical ANOVA procedure developed by Box and Hunter. This script is for the general case of a N-way ANOVA . It is especially effective with data from a designed experiment. (A separate script is available for the one-way ANOVA case with optional blocking.)Simply open a data table, then open and run the script. I will use a simulated experiment from Custom Design. T...
This script demonstrates a new graphical ANOVA procedure developed by Box and Hunter. This script is for the particular case of a one-way ANOVA with optional blocking. It is especially effective with data from a designed experiment. (A separate script is available for the n-way ANOVA case.)Simply open a data table, then open and run the script. I will use a simulated experiment from Custom Design....
This script creates an extensive report of information about a multiple regression. Much of the information is presented graphically but much of it is also numeric.Simply open the data table with the regression sample, then open and run this script. This example uses the Fitness data table from the Sample Data folder.The default options will include an intercept term and neither center nor scale t...
The p-value is important in deciding to reject or not to reject the null hypothesis in a significance test. Unfortunately, p-values are also often misunderstood. This script is based on the one-sample Student's t-test of the population mean. It simulates the test statistic and its associated p-value for many samples. Any case may be simulated. That is, you can enter any population mean and standar...
(This script is a new version that provides By group processing. Finally! Note that the p-value reported in the first version is no longer available.)This script adds the two-tailed outlier test by Grubbs to the Distribution platform. The normal quantile plot and Goodness of Fit test are opened to help assess the assumption that the sample was drawn from a normal population.Simply open the data ta...
This script supports an interactive demonstration of the Box-Cox Power Transformation in the context of a simple linear regression. You can transform the dependent variable, the independent variable, or both. Simply open a data table with an example. (This description uses the Cars 1993 data table from the Sample Data folder.) Then open and run the script. Select the dependent variable and click Y...
This script creates an interactive demonstration of simple linear regression. You can select data columns for the Y and X roles or you can use a randomly generated data sample. Simply open and run the script:Select a data column for the dependent variable and click the Y, Response button. Select another data column for the independent variable and click the X, Predictor button. Click OK.(Note that...
(Please note that this script is a new version that provides an optional By role as of 10Jul2014.)This script opens a Distribution platform and adds the confidence interval for the coefficient of variation to the report. Simply open the data table with the columns to be analyzed and then open and run the script. Select the columns for analysis and click Y, Response. Select the grouping column and ...
JMP performs the one-way ANOVA in the Oneway and the Fit Least Squares platforms. These platforms start with a data table:Here is the result from the Oneway platform:If the data is not available but a summary of the data is available. This script will perform the ANOVA from the summary. The script allows you to manually enter the summary or accepts the summary from a JMP data table. Let me show yo...