farmer1: Data for One SRCV and One MRCV from the Kansas Farmer Survey
In MRCV: Methods for Analyzing Multiple Response Categorical Variables (MRCVs)
farmer1 R Documentation
Data for One SRCV and One MRCV from the Kansas Farmer Survey
Description
Responses for one SRCV and one MRCV from a survey of Kansas farmers. This data was first examined by Loughin and Scherer (1998) and subsequently examined by papers such as Agresti and Liu (1999) and Bilder, Loughin, and Nettleton (2000).
Usage
farmer1
Format
The data frame contains the following 6 columns:
Column 1, labeled Ed, corresponds to the respondent's highest attained level of education. A total of r = 5 levels of education are represented in the data.
1: High school
2: Vocational school
3: 2-Year college
4: 4-Year college
5: Other
Columns 2-6 correspond to the response categories for the question "What are your primary sources of veterinary information?" Binary responses (1 = Yes, 0 = No) are provided for each category.
Y1: Professional consultant
Y2: Veterinarian
Y3: State or local extension service
Y4: Magazines
Y5: Feed companies and representatives
Source
Loughin, T. M. and Scherer, P. N. (1998) Testing for association in contingency tables with multiple column responses. Biometrics, 54, 630–637.
References
Agresti, A. and Liu, I.-M. (1999) Modeling a categorical variable allowing arbitrarily many category choices. Biometrics, 55, 936–943.
Bilder, C., Loughin, T., and Nettleton, D. (2000) Multiple marginal independence testing for pick any/c variables. Communications in Statistics–Theory and Methods, 29, 1285–1316.
Loughin, T. M. and Scherer, P. N. (1998) Testing for association in contingency tables with multiple column responses. Biometrics, 54, 630–637.
MRCV documentation built on Oct. 22, 2024, 5:06 p.m.
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| farmer1 | R Documentation |
Data for One SRCV and One MRCV from the Kansas Farmer Survey
Description
Responses for one SRCV and one MRCV from a survey of Kansas farmers. This data was first examined by Loughin and Scherer (1998) and subsequently examined by papers such as Agresti and Liu (1999) and Bilder, Loughin, and Nettleton (2000).
Usage
farmer1Format
The data frame contains the following 6 columns:
Column 1, labeled Ed, corresponds to the respondent's highest attained level of education. A total of r = 5 levels of education are represented in the data.
1: High school2: Vocational school3: 2-Year college4: 4-Year college5: Other
Columns 2-6 correspond to the response categories for the question "What are your primary sources of veterinary information?" Binary responses (1 = Yes, 0 = No) are provided for each category.
Y1: Professional consultantY2: VeterinarianY3: State or local extension serviceY4: MagazinesY5: Feed companies and representatives
Source
Loughin, T. M. and Scherer, P. N. (1998) Testing for association in contingency tables with multiple column responses. Biometrics, 54, 630–637.
References
Agresti, A. and Liu, I.-M. (1999) Modeling a categorical variable allowing arbitrarily many category choices. Biometrics, 55, 936–943.
Bilder, C., Loughin, T., and Nettleton, D. (2000) Multiple marginal independence testing for pick any/c variables. Communications in Statistics–Theory and Methods, 29, 1285–1316.
Loughin, T. M. and Scherer, P. N. (1998) Testing for association in contingency tables with multiple column responses. Biometrics, 54, 630–637.
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