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.
rent
the monthly net rent per month (in Euro).
rentsqm
the net rent per month per square meter (in Euro).
area
Living area in square meters.
yearc
year of construction.
location
quality of location: a factor indicating whether the location is average location, 1, good location, 2, and top location, 3.
bath
quality of bathroom: a a factor indicating whether the bath facilities are standard, 0, or premium, 1.
kitchen
Quality of kitchen: 0 standard 1 premium.
cheating
central heating: a factor 0 without central heating, 1 with central heating.
district
District 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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