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Basic Analysis and Graphing - SAS

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90 Introduction to the Fit Y by X Platform Chapter 3<br />

Overview of the Fit Y by X Platform<br />

Table 3.1 Description of the Fit Y by X Launch Window<br />

Bivariate, Oneway,<br />

Logistic, Contingency<br />

Block<br />

This grid shows which analysis results from the different combinations<br />

of data types. Once you have assigned your columns, the applicable<br />

platform appears as a label above the grid.<br />

(Optional, for Oneway <strong>and</strong> Contingency only):<br />

• For the Oneway platform, identifies a second factor, which forms a<br />

two-way analysis without interaction. The data should be balanced<br />

<strong>and</strong> have equal counts in each block by group cell. If you specify a<br />

Block variable, the data should be balanced <strong>and</strong> have equal counts<br />

in each block by group cell.<br />

• For the Contingency platform, identifies a second factor <strong>and</strong><br />

performs a Cochran-Mantel-Haenszel test.<br />

For more information about launch windows, see Using JMP.<br />

Launch Specific Analyses from the JMP Starter Window<br />

From the JMP Starter window, you can launch a specific analysis (Bivariate, Oneway, Logistic, or<br />

Contingency). If you select this option, specify the correct modeling types (Y <strong>and</strong> X variables) for the<br />

analysis. See Table 3.2.<br />

To launch a specific analysis from the JMP Starter Window, proceed as follows:<br />

1. Click on the <strong>Basic</strong> category.<br />

2. Click on the specific analysis that you want to launch.<br />

Most of the platform launch options are the same. However, the naming for some of the Y <strong>and</strong> X platform<br />

buttons is tailored for the specific analysis that you are performing.<br />

Table 3.2 Platforms <strong>and</strong> Buttons<br />

Platform or <strong>Analysis</strong> Y Button X Button<br />

Fit Y by X Y, Response X, Factor<br />

Bivariate Y, Response X, Regressor<br />

Oneway Y, Response X, Grouping<br />

Logistic Y, Categorical Response X, Continuous Regressor<br />

Contingency Y, Response Category X, Grouping Category

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