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. (more…)
Inspired By John Sall
As users of JMP Software we all develop our own opinions of what we like, what we don’t like, and how we think it should evolve.
So it’s very insightful to hear the perspective of the man behind the software – John Sall. He is hard to ignore, both physically (he is tall!) and intellectually (he is a giant!). But above all, he knows how we ought to be using the software whereas we just think we know. (more…)
Testing For Independent Observations
In this final step of developing the oneway advisor I want to check the assumption of “independence”. Specifically I want to test whether there is any evidence of serial correlation on the residuals. (more…)
Testing For Equal Variance
This is the sixth and penultimate step in constructing the oneway advisor. The advisor automates four tests associated with the assumptions of a oneway analysis of variance. In this step a test will be performed to assess whether the data within each level of the grouping variable have equal variance. (more…)
Testing Residuals for Normality
This is step 5 in the creation of the oneway advisor. In the previous step code was produced for testing whether the data within each level of the grouping (X) variable were normally distributed.
In this step code will be developed to determine whether the residuals are normally distributed.
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Checking Distributions Within Group Levels
This is the fourth step in building the oneway advisor.
It’s time to start developing the code that will check the assumptions of the oneway analysis. The first assumption is that data within each level of the grouping variable are normally distributed.
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Using Pattern Matching To Inspect Reports
This is the third step in building the oneway advisor. In the first step the code for the main window was developed. In the second step the code was revised to handle access to the icon files.
The advisor will validate the assumptions associated with a oneway analysis of variance. It is assumed that the user has created the oneway analysis prior to running the advisor. In this step this assumption is validated.
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Using Icons
This is the second step in building the oneway advisor. In step 1 the code for the main window was developed. But the window didn’t contain any icons – that’s the goal of this step.
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Using Display Boxes To Present And Align Content
In the previous post I illustrated a software advisor that can be used to automatically check the assumptions associated with a oneway analysis of variance. Now I am going to show you how you can write the code from scratch.
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Oneway Advisor
I want to show you an example of some software designed to help you be more productive and consistent in applying statistical tests. It’s designed to work along side a oneway analysis of variance and will automatically assess the assumptions associated with the analysis.