farmer2: Data for Two MRCVs from the Kansas Farmer Survey
In MRCV: Methods for Analyzing Multiple Response Categorical Variables (MRCVs)
farmer2 R Documentation
Data for Two MRCVs from the Kansas Farmer Survey
Description
Responses for two MRCVs from a survey of Kansas farmers. This data was first examined by Bilder and Loughin (2007).
Usage
farmer2
Format
The data frame contains 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.
W1: Nitrogen
W2: Phosphorous
W3: Salt
Columns 4-7 correspond to the response categories for the question "What swine waste disposal methods do you use?" Binary responses (1 = Yes, 0 = No) are provided for each category.
Y1: Lagoon
Y2: Pit
Y3: Natural drainage
Y4: Holding tank
Source
Bilder, C. and Loughin, T. (2007) Modeling association between two or more categorical variables that allow for multiple category choices. Communications in Statistics–Theory and Methods, 36, 433–451.
MRCV documentation built on Oct. 22, 2024, 5:06 p.m.
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| farmer2 | R Documentation |
Data for Two MRCVs from the Kansas Farmer Survey
Description
Responses for two MRCVs from a survey of Kansas farmers. This data was first examined by Bilder and Loughin (2007).
Usage
farmer2Format
The data frame contains 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.
W1: NitrogenW2: PhosphorousW3: Salt
Columns 4-7 correspond to the response categories for the question "What swine waste disposal methods do you use?" Binary responses (1 = Yes, 0 = No) are provided for each category.
Y1: LagoonY2: PitY3: Natural drainageY4: Holding tank
Source
Bilder, C. and Loughin, T. (2007) Modeling association between two or more categorical variables that allow for multiple category choices. Communications in Statistics–Theory and Methods, 36, 433–451.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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