DavisThin: Davis's Data on Drive for Thinness
In carData: Companion to Applied Regression Data Sets
Description
Usage
Format
Source
References
Description
The DavisThin data frame has 191 rows and 7 columns.
This is part of a larger dataset for a study of eating disorders.
The seven variables in the data frame comprise a "drive for thinness"
scale, to be formed by summing the items.
Usage
1
Format
This data frame contains the following columns:
- DT1
a numeric vector
- DT2
a numeric vector
- DT3
a numeric vector
- DT4
a numeric vector
- DT5
a numeric vector
- DT6
a numeric vector
- DT7
a numeric vector
Source
Davis, C., G. Claridge, and D. Cerullo (1997)
Personality factors
predisposing to weight preoccupation: A continuum approach to the
association between eating disorders and personality disorders.
Journal of Psychiatric Research 31, 467–480. [personal communication from the authors.]
References
Fox, J. and Weisberg, S. (2019)
An R Companion to Applied Regression, Third Edition, Sage.
carData documentation built on Jan. 6, 2022, 1:07 a.m.
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Description Usage Format Source References
Description
The DavisThin data frame has 191 rows and 7 columns.
This is part of a larger dataset for a study of eating disorders.
The seven variables in the data frame comprise a "drive for thinness"
scale, to be formed by summing the items.
Usage
1 |
Format
This data frame contains the following columns:
- DT1
a numeric vector
- DT2
a numeric vector
- DT3
a numeric vector
- DT4
a numeric vector
- DT5
a numeric vector
- DT6
a numeric vector
- DT7
a numeric vector
Source
Davis, C., G. Claridge, and D. Cerullo (1997) Personality factors predisposing to weight preoccupation: A continuum approach to the association between eating disorders and personality disorders. Journal of Psychiatric Research 31, 467–480. [personal communication from the authors.]
References
Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.
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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