Prestige: Prestige of Canadian Occupations
In carData: Companion to Applied Regression Data Sets
Description
Usage
Format
Source
References
Description
The Prestige data frame has 102 rows and 6 columns.
The observations are occupations.
Usage
1
Format
This data frame contains the following columns:
- education
-
Average education of occupational incumbents, years, in 1971.
- income
-
Average income of incumbents, dollars, in 1971.
- women
-
Percentage of incumbents who are women.
- prestige
-
Pineo-Porter prestige score for occupation, from a social survey
conducted in the mid-1960s.
- census
-
Canadian Census occupational code.
- type
-
Type of occupation.
A factor with levels (note: out of order):
bc, Blue Collar;
prof, Professional, Managerial, and Technical;
wc, White Collar.
Source
Canada (1971)
Census of Canada. Vol. 3, Part 6. Statistics Canada [pp. 19-1–19-21].
Personal communication from B. Blishen, W. Carroll, and
C. Moore, Departments of Sociology, York University and
University of Victoria.
References
Fox, J. (2016)
Applied Regression Analysis and Generalized Linear Models,
Third Edition. Sage.
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 Prestige data frame has 102 rows and 6 columns.
The observations are occupations.
Usage
1 |
Format
This data frame contains the following columns:
- education
-
Average education of occupational incumbents, years, in 1971.
- income
-
Average income of incumbents, dollars, in 1971.
- women
-
Percentage of incumbents who are women.
- prestige
-
Pineo-Porter prestige score for occupation, from a social survey conducted in the mid-1960s.
- census
-
Canadian Census occupational code.
- type
-
Type of occupation. A factor with levels (note: out of order):
bc, Blue Collar;prof, Professional, Managerial, and Technical;wc, White Collar.
Source
Canada (1971) Census of Canada. Vol. 3, Part 6. Statistics Canada [pp. 19-1–19-21].
Personal communication from B. Blishen, W. Carroll, and C. Moore, Departments of Sociology, York University and University of Victoria.
References
Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.
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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