recs: Data from the 2015 Residential Energy Consumption Survey...
In ummel/fusionModel: Data fusion and analysis of synthetic data in R
recs R Documentation
Data from the 2015 Residential Energy Consumption Survey (RECS)
Description
Pre-processed, household-level microdata containing a selection of 31
variables derived from the 2015 RECS, plus survey replicate weights. A variety of data types are included.
There are no missing values. Variable names have been altered from the original.
Usage
recs
Format
A tibble with 5,686 rows and 124 variables:
- weight
Primary sampling weight
- income
Annual gross household income for the last year
- age
Respondent age
- race
Respondent race
- education
Highest education completed by respondent
- employment
Respondent employment status
- hh_size
Number of household members
- division
Census Division
- urban_rural
Census 2010 Urban Type
- climate
IECC Climate Code
- renter
Is household renting the home?
- home_type
Type of housing unit
- year_built
Range when housing unit was built
- square_feet
Total square footage
- insulation
Level of insulation
- heating
Main space heating fuel
- aircon
Type of air conditioning equipment used
- centralac_age
Age of central air conditioner
- televisions
Number of televisions used
- disconnect
Frequency of receiving disconnect notice
- electricity
Total annual electricity usage, in kilowatthours
- natural_gas
Total annual natural gas usage, in hundred cubic feet
- fuel_oil
Total annual fuel oil/kerosene usage, in gallons
- propane
Total annual propane usage, in gallons
- propane_btu
Total annual propane usage, in thousand Btu
- propane_expend
Total annual propane expenditure, in dollars
- heating_share
Share of total energy used for space heating
- heating_share
Share of total energy used for cooling (AC and fans)
- other_share
Share of total energy used for other end-uses
- use_ng
Logical indicating if household uses natural gas
- have_ac
Logical indicating if household has air conditioning
- rep_1:rep_96
Replicate weights for uncertainty estimation
Source
ummel/fusionModel documentation built on June 1, 2025, 11 p.m.
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.
| recs | R Documentation |
Data from the 2015 Residential Energy Consumption Survey (RECS)
Description
Pre-processed, household-level microdata containing a selection of 31 variables derived from the 2015 RECS, plus survey replicate weights. A variety of data types are included. There are no missing values. Variable names have been altered from the original.
Usage
recs
Format
A tibble with 5,686 rows and 124 variables:
- weight
Primary sampling weight
- income
Annual gross household income for the last year
- age
Respondent age
- race
Respondent race
- education
Highest education completed by respondent
- employment
Respondent employment status
- hh_size
Number of household members
- division
Census Division
- urban_rural
Census 2010 Urban Type
- climate
IECC Climate Code
- renter
Is household renting the home?
- home_type
Type of housing unit
- year_built
Range when housing unit was built
- square_feet
Total square footage
- insulation
Level of insulation
- heating
Main space heating fuel
- aircon
Type of air conditioning equipment used
- centralac_age
Age of central air conditioner
- televisions
Number of televisions used
- disconnect
Frequency of receiving disconnect notice
- electricity
Total annual electricity usage, in kilowatthours
- natural_gas
Total annual natural gas usage, in hundred cubic feet
- fuel_oil
Total annual fuel oil/kerosene usage, in gallons
- propane
Total annual propane usage, in gallons
- propane_btu
Total annual propane usage, in thousand Btu
- propane_expend
Total annual propane expenditure, in dollars
- heating_share
Share of total energy used for space heating
- heating_share
Share of total energy used for cooling (AC and fans)
- other_share
Share of total energy used for other end-uses
- use_ng
Logical indicating if household uses natural gas
- have_ac
Logical indicating if household has air conditioning
- rep_1:rep_96
Replicate weights for uncertainty estimation
Source
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.