On this R-data statistics page, you will find information about the rental data set which pertains to rental. The rental data set is found in the wooldridge R package. You can load the rental data set in R by issuing the following command at the console data("rental"). This will load the data into a variable called rental. If R says the rental data set is not found, you can try installing the package by issuing this command install.packages("wooldridge") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the rental R data set. The size of this file is about 29,973 bytes.

rental

Description

Data loads lazily. Type data(rental) into the console.

Usage

data(rental)

Format

A data.frame with 128 rows and 23 variables:

• city. city label, 1 to 64

• year. 80 or 90

• pop. city population

• enroll. # college students enrolled

• rent. average rent

• rnthsg. renter occupied units

• tothsg. occupied housing units

• avginc. per capita income

• lenroll. log(enroll)

• lpop. log(pop)

• lrent. log(rent)

• ltothsg. log(tothsg)

• lrnthsg. log(rnthsg)

• lavginc. log(avginc)

• clenroll. change in lrent from 80 to 90

• clpop. change in lpop

• clrent. change in lrent

• cltothsg. change in ltothsg

• clrnthsg. change in lrnthsg

• clavginc. change in lavginc

• pctstu. percent of population students

• cpctstu. change in pctstu

• y90. =1 if year == 90

Source

https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041

Examples

 str(rental)

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Dataset imported from https://www.r-project.org.