| rent99 | R Documentation |
The Munich rent data and boundaries files of of 1999 survey.
data(rent99)
A data frame with 3082 observations on the following 9 variables.
rentthe monthly net rent per month (in Euro).
rentsqmthe net rent per month per square meter (in Euro).
areaLiving area in square meters.
yearcyear of construction.
locationquality of location: a factor indicating whether the location is average location, 1, good location, 2, and top location, 3.
bathquality of bathroom: a a factor indicating whether the bath facilities are standard, 0, or premium, 1.
kitchenQuality of kitchen: 0 standard 1 premium.
cheatingcentral heating: a factor 0 without central heating, 1 with central heating.
districtDistrict in Munich.
See Fahrmeir et. al., (2013) page 5, for more details about the data.
Thanks to Thomas Kneib who provide us with the data.
Fahrmeir, Ludwig and Kneib, Thomas and Lang, Stefan and Marx, Brian (2013) Regression: models, methods and applications, Springer.
data(rent99)
plot(rent~area, data=rent99)
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