Process Timing Chart Creator
A timing chart is something process and system engineers use to visually see how the various components (actuators, solenoids, power relays, etc.) of a process are sequenced for a process cycle. In t...
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A timing chart is something process and system engineers use to visually see how the various components (actuators, solenoids, power relays, etc.) of a process are sequenced for a process cycle. In t...
JMP has supported the reading and writing of images for some time, but it didn't support images with multiple frames until now. Version 13 of JMP now includes support for images with multiple frames,...
Did you know that JMP has an LP Solver? Linear programming (LP) is a technique for optimising a function subject to a set of linear constraints. [See here for the Wiki description of line...
This script will combine multiple txt or csv files into one file. The script asks for a target directory, opens the first file and then iteratively adds the subsequent files to the first using the Ta...
This script utilizes the JMP connection to R to create smooth-curve density plots with GGplot2, broken apart by the levels of a grouping variable. Means for each group can be plotted along with density curves. This wrapper can be modified to utilize other GGplot2 and R-graphing packages by changing the commands sent to R. Instructions: Run the attached script and specify a response variable an...
This is a sample script used in a JMP blog post about the JSL Debugger (Solving a Problem with the JSL Debugger). Please read the blog post for more information. This script has no use outside of the blog post.
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 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...
This script implements a method that evaluates the one-way ANOVA for significance. Only if the F-ratio is significant at the specified alpha level will the multiple comparisons of choice be permitted.Simply open the data table for the one-way ANOVA, then open and run this script. Select the data columns for the Y, Response and X, Treatment roles, select the multiple comparison method, specify the ...
This script opens an interactive calculator that performs a one-sample z-test, one-sample t-test, two-sample t-test, and a paired t-test using sample average, standard deviation, and sample size with the hypothesized parameter. The results are reported as either a confidence interval or a hypothesis test. The numerical estimate of the statistic and its standard error and a plot of the results.
Originally created for demonstration at the 2007 JMP User Conference, this script is intended as an example and not as a full-fledged loan comparison tool. Be sure you understand how it works and its limitations before relying on any information produced. It does not reflect the full capabilities or features of PROC LOAN.This sample demonstrates:Creating a JSL-based user interfaceGenerating SAS co...
This script illustrates the variability within and between groups, and the total variability of samples from two or three populations. Includes controls for population means, the population standard deviation, sample sizes, the number of samples, and the alpha level. Explore ANOVA concepts, such as F Ratios, P-values, the F Distribution, power, residuals, test statistics, false positive rates and...
Explore regression concepts, including: Intercept, slope, correlation, least squares and sum of squares, residuals, R Square, parameter estimates, test statistics and p-values. Manipulate population characteristics, sample size and plotted data to explore the influence on the regression equation and results. (Author: Mark Bailey, SAS Institute.)Watch video.Note: To access this script, install th...
Hypothesis Testing for the Population Proportion. Illustrates the variability of the test statistic and the connection to Type I error rates and power rates for different null and alternative hypotheses. Includes controls for the population proportion, sample size, alpha level and number of samples.Watch video.Note: To access this script, install the add-in at Collection: Interactive Teaching Mo...
This script illustrates the variability of the test statistic and the connection to Type I error rates and power rates for different null and alternative hypotheses. Includes controls for population shape, mean, and standard deviation, sample size, alpha level and number of samples.Watch video.Note: To access this script, install the add-in at Collection: Interactive Teaching Modules. As of JMP ...
This script illustrates the variability and capture rate of the confidence interval for the population proportion. Includes controls for population proportion, sample size, confidence level and number of samples.
Watch video.
Note: To access this script, install the add-in at Collection: Interactive Teaching Modules. As of JMP 12 you can also run these modules from Help > Sample Data (under Teachi...
This script illustrates the variability and capture rate of the confidence interval for the population mean. Includes controls for population shape, mean, and standard deviation, sample size, confidence level and number of samples.
Watch video.
Suggestions? Comments? Please reach out to JMP Academic'smia.stephens. Thanks!
This script illustrates the distribution of sample proportions and the connection to the distribution of sample data. Includes controls for population proportion, sample size and number of samples.Watch video.Note: To access this script, install the add-in at Collection: Interactive Teaching Modules. As of JMP 12 you can also run these modules from Help > Sample Data (under Teaching Resources >...
Provides students with a more visual understanding of the underpinnings of distributions and variability.Watch video.Note: To access this script, install the add-in at Collection: Interactive Teaching Modules. As of JMP 12 you can also run these modules from Help > Sample Data (under Teaching Resources >Teaching Scripts > Interactive Teaching Modules). In JMP 12 Student Edition, you can run thes...
Illustrates the distribution of sample means and the connection to the distribution of sample data. Includes controls for population shape, mean, and standard deviation, sample size and number of samples.Watch video.
Note: To access this script, install the add-in at Collection: Interactive Teaching Modules. As of JMP 12 you can also run these modules from Help > Sample Data (under Teaching Resou...
Two scripts generated using JMP interface to R by Chris Kirchberg chris.kirchberg. Also see a short demo by Kelci Miclaus kelci.miclaus on JMP integration with R.
JMP does not have a facility for fitting nonlinear mixed models, but this script can be helpful in invoking the SAS PROC NLMIXED to do the work, using the model formulas in from JMP. With degradation analysis you need to import back the estimates and plug them into a model , and invert the model to produce crossing times. The documents include a journal, the script, and sample data sufficient to ...
This script uses JSL Scene3D commands (JMP's interface to OpenGL programming) to create a spinning 3-dimensional DNA double helix object. Authors: Laurie Cuffney, NCSU Russ Wolfinger, SAS Institute Inc Kelci Miclaus, SAS Institute IncSee this SAS Global Forum paper for more details.
This script converts the current data table to text that can be displayed in Wikipedia and other sites based on the MediaWiki engine.
Run this JSL file and you can select two images to read in. You can then slide a slider to blend between the two images. Blending shows the differences between the two images.