heating: Heating Dataset
In mlogitBMA: Bayesian Model Averaging for Multinomial Logit Models
heating R Documentation
Heating Dataset
Description
Kenneth Trains dataset containing data on choice of heating system in California houses.
Usage
data(heating)
Format
A data frame with 900 observations on the following 19 variables.
idcaseObservation number.
depvarIdentifies the chosen alternative (1-5).
ic1Installation cost for a gas central system.
ic2Installation cost for a gas room system.
ic3Installation cost for a electric central system.
ic4Installation cost for a electric room system.
ic5Installation cost for a heat pump.
oc1Annual operating cost for a gas central system.
oc2Annual operating cost for a gas room system.
oc3Annual operating cost for a electric central system.
oc4Annual operating cost for a electric room system.
oc5Annual operating cost for a heat pump.
incomeAnnual income of the household.
agehedAge of the household head.
roomsNumber of rooms in the house.
ncost1Identifies whether the house is in the northern coastal region.
scost1Identifies whether the house is in the southern coastal region.
mountnIdentifies whether the house is in the mountain region.
valleyIdentifies whether the house is in the central valley region.
Details
The observations consist of single-family houses in
California that were newly built and had central air-conditioning. The choice is among heating systems.
Five types of systems are considered to have been possible:
(1) gas central,
(2) gas room,
(3) electric central,
(4) electric room,
(5) heat pump.
For these data, the costs were calculated as the amount the system would cost if it were installed in the house, given the characteristics of the house (such as size), the price of
gas and electricity in the house location, and the weather conditions in the area (which
determine the necessary capacity of the system and the amount it will be run.) These cost
are conditional on the house having central air-conditioning. (That is why the installation
cost of gas central is lower than that for gas room: the central system can use the air-conditioning
products that have been installed.)
Note
This help file was created using Kenneth Trains description of the dataset, see Source.
Source
http://elsa.berkeley.edu/~train/distant.html
References
Train, K.E. (2003) Discrete Choice Methods with Simulation. Cambridge University Press.
Examples
data(heating)
head(heating)
mlogitBMA documentation built on April 14, 2022, 1:07 a.m.
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| heating | R Documentation |
Heating Dataset
Description
Kenneth Trains dataset containing data on choice of heating system in California houses.
Usage
data(heating)
Format
A data frame with 900 observations on the following 19 variables.
idcaseObservation number.
depvarIdentifies the chosen alternative (1-5).
ic1Installation cost for a gas central system.
ic2Installation cost for a gas room system.
ic3Installation cost for a electric central system.
ic4Installation cost for a electric room system.
ic5Installation cost for a heat pump.
oc1Annual operating cost for a gas central system.
oc2Annual operating cost for a gas room system.
oc3Annual operating cost for a electric central system.
oc4Annual operating cost for a electric room system.
oc5Annual operating cost for a heat pump.
incomeAnnual income of the household.
agehedAge of the household head.
roomsNumber of rooms in the house.
ncost1Identifies whether the house is in the northern coastal region.
scost1Identifies whether the house is in the southern coastal region.
mountnIdentifies whether the house is in the mountain region.
valleyIdentifies whether the house is in the central valley region.
Details
The observations consist of single-family houses in California that were newly built and had central air-conditioning. The choice is among heating systems. Five types of systems are considered to have been possible:
(1) gas central, (2) gas room, (3) electric central, (4) electric room, (5) heat pump.
For these data, the costs were calculated as the amount the system would cost if it were installed in the house, given the characteristics of the house (such as size), the price of gas and electricity in the house location, and the weather conditions in the area (which determine the necessary capacity of the system and the amount it will be run.) These cost are conditional on the house having central air-conditioning. (That is why the installation cost of gas central is lower than that for gas room: the central system can use the air-conditioning products that have been installed.)
Note
This help file was created using Kenneth Trains description of the dataset, see Source.
Source
http://elsa.berkeley.edu/~train/distant.html
References
Train, K.E. (2003) Discrete Choice Methods with Simulation. Cambridge University Press.
Examples
data(heating) head(heating)
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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