ihd_mar: Missing at Random example data from the India Human...
In gerbil: Generalized Efficient Regression-Based Imputation with Latent Processes
ihd_mar R Documentation
Missing at Random example data from the India Human Development Survey
Description
This dataset is a subset from the India Human Development survey. This dataset is included in the package only for demonstration purposes and should not be used for other purposes.
Usage
ihd_mar
Format
A data frame with 42155 rows and 8 variables:
- sex
1 = individual is male; 2 = individual is female
- age
Age of the individual, between 0 & 99
- marital_status
Individual’s marital status. 0 = married, absent spouse, 1 = Married, 2 = Unmarried, 3 = Widowed, 4 = Divorced/Separated, 5 = married, no gauna
- job_field
Refer’s to the field of the individual’s profession or job status (i.e. agricultural worker; small business owner; student; unemployed; etc.
- farm_labour_days
Number of days a year the individual worked on a farm. Can take on the value zero
- own_livestock
0 = Individual does not own livestock. 1 = Individual does own livestock
- education_level
Years of schooling attained by the individual. Censored for values above 16.
- income
Household’s income, in rupees. Value can be negative
Source
Desai, Sonalde, and Vanneman, Reeve. India Human Development Survey-II (IHDS-II), 2011-12.
Inter-university Consortium for Political and Social Research [distributor],
2018-08-08.
doi: 10.3886/ICPSR36151.v6
gerbil documentation built on Jan. 12, 2023, 5:10 p.m.
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| ihd_mar | R Documentation |
Missing at Random example data from the India Human Development Survey
Description
This dataset is a subset from the India Human Development survey. This dataset is included in the package only for demonstration purposes and should not be used for other purposes.
Usage
ihd_mar
Format
A data frame with 42155 rows and 8 variables:
- sex
1 = individual is male; 2 = individual is female
- age
Age of the individual, between 0 & 99
- marital_status
Individual’s marital status. 0 = married, absent spouse, 1 = Married, 2 = Unmarried, 3 = Widowed, 4 = Divorced/Separated, 5 = married, no gauna
- job_field
Refer’s to the field of the individual’s profession or job status (i.e. agricultural worker; small business owner; student; unemployed; etc.
- farm_labour_days
Number of days a year the individual worked on a farm. Can take on the value zero
- own_livestock
0 = Individual does not own livestock. 1 = Individual does own livestock
- education_level
Years of schooling attained by the individual. Censored for values above 16.
- income
Household’s income, in rupees. Value can be negative
Source
Desai, Sonalde, and Vanneman, Reeve. India Human Development Survey-II (IHDS-II), 2011-12. Inter-university Consortium for Political and Social Research [distributor], 2018-08-08. doi: 10.3886/ICPSR36151.v6
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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