society: Agent demographic variables.
In Phalacrocorax-gaimardi/phevmicrosimr: Simulates ZEV adoption in Ireland 2015-2050
society R Documentation
Agent demographic variables.
Description
A dataset derives from a subset of 2018 survey variables for drivers or prospective drivers
A dataset derives from a subset of 2018 survey variables for drivers or prospective drivers
Usage
society
society
Format
A data frame with 924 rows and 12 variables:
- ID
agent ID 1-924
- age
5 age ranges "25-34" "35-44" "45-54" "18-24" "55+"
- class
two classes
- gender
gender
- region
NUTS region
- area_type
rural or urban
- county
county
- profession
profession
- employment_status
employment type
- education
level attained
- children
yes or no
- degree
influence network degree estimated by respondent
A data frame with 924 rows and 12 variables:
- ID
agent ID 1-924
- age
5 age ranges "25-34" "35-44" "45-54" "18-24" "55+"
- class
two classes
- gender
gender
- region
NUTS region
- area_type
rural or urban
- county
county
- profession
profession
- employment_status
employment type
- education
level attained
- children
yes or no
- degree
influence network degree estimated by respondent
Source
2018 Survey
2018 Survey
Phalacrocorax-gaimardi/phevmicrosimr documentation built on June 8, 2022, 3:27 p.m.
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| society | R Documentation |
Agent demographic variables.
Description
A dataset derives from a subset of 2018 survey variables for drivers or prospective drivers
A dataset derives from a subset of 2018 survey variables for drivers or prospective drivers
Usage
society society
Format
A data frame with 924 rows and 12 variables:
- ID
agent ID 1-924
- age
5 age ranges "25-34" "35-44" "45-54" "18-24" "55+"
- class
two classes
- gender
gender
- region
NUTS region
- area_type
rural or urban
- county
county
- profession
profession
- employment_status
employment type
- education
level attained
- children
yes or no
- degree
influence network degree estimated by respondent
A data frame with 924 rows and 12 variables:
- ID
agent ID 1-924
- age
5 age ranges "25-34" "35-44" "45-54" "18-24" "55+"
- class
two classes
- gender
gender
- region
NUTS region
- area_type
rural or urban
- county
county
- profession
profession
- employment_status
employment type
- education
level attained
- children
yes or no
- degree
influence network degree estimated by respondent
Source
2018 Survey
2018 Survey
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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