farmer2

Survey of 279 Kansas farmers conducted by the Department of Animal Sciences at Kansas State University.  Data are provided for only two of the survey questions.

This package provides functions for analyzing the
        association between two or three MRCVs.  A modified Pearson
        chi-square statistic can be used to test for marginal
        independence, or a more general loglinear modeling approach can
        be used to compare various other structures of association.
        Bootstrap- and asymptotic-based standardized residuals and
        model-predicted odds ratios are available, in addition to other
        descriptive information.

Natalie Koziol

MRCV

Methods for Analyzing Multiple Response Categorical Variables
        (MRCVs)

farmer2 function

The data frame contains 279 rows and the following 7 columns:

Columns 1-3 correspond to the response categories for the question "Which of the following do you test your swine waste for?" Binary responses (1 = Yes, 0 = No) are provided for each category.
<ul><li><code>W1</code></li></ul> {Nitrogen}
<item><code>W2</code></item> {Phosphorous}
<item><code>W3</code></item> {Salt}

format

itemize

item

Bilder, C. and Loughin, T. (2007)  Modeling association between two or more categorical variables that allow for multiple category choices.  <em>Communications in Statistics--Theory and Methods</em>, <b>36</b>, 433--451.

farmer2: Kansas Farmer Data of Bilder and Loughin (2007)

Description

Usage

Arguments

format

itemize

item

source