citycrime: City Crime Data
In smoothic: Variable Selection Using a Smooth Information Criterion
citycrime R Documentation
City Crime Data
Description
Data relating to crime rates per one million residents in 50 U.S cities, taken
from Thomas (1990).
Usage
citycrime
Format
A data frame with 50 rows and 7 variables:
- violent
reported violent crime rate per 100,000 residents
- funding
annual police funding per resident ($)
- hs
percentage of people 25 years+ with 4 years of high school
- not_hs
percentage of 16 to 19 year-olds not in high school and not high school graduates
- college
percentage of 18 to 24 year-olds in college
- college4
percentage of people 25 years+ with at least 4 years of college
- crime_rate
total overall reported crime rate per 1 million residents
Source
https://hastie.su.domains/StatLearnSparsity_files/DATA/crime.txt
References
Thomas, G.S., 1990. The Rating Guide to Life in America's Small Cities.
Prometheus Books, 59 John Glenn Drive, Amherst, NY 14228-2197.
Hastie, T., Tibshirani, R. and Wainwright, M., 2015.
Statistical learning with sparsity: the lasso and generalizations. CRC press.
smoothic documentation built on Aug. 22, 2023, 5:07 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| citycrime | R Documentation |
City Crime Data
Description
Data relating to crime rates per one million residents in 50 U.S cities, taken from Thomas (1990).
Usage
citycrime
Format
A data frame with 50 rows and 7 variables:
- violent
reported violent crime rate per 100,000 residents
- funding
annual police funding per resident ($)
- hs
percentage of people 25 years+ with 4 years of high school
- not_hs
percentage of 16 to 19 year-olds not in high school and not high school graduates
- college
percentage of 18 to 24 year-olds in college
- college4
percentage of people 25 years+ with at least 4 years of college
- crime_rate
total overall reported crime rate per 1 million residents
Source
https://hastie.su.domains/StatLearnSparsity_files/DATA/crime.txt
References
Thomas, G.S., 1990. The Rating Guide to Life in America's Small Cities. Prometheus Books, 59 John Glenn Drive, Amherst, NY 14228-2197.
Hastie, T., Tibshirani, R. and Wainwright, M., 2015. Statistical learning with sparsity: the lasso and generalizations. CRC press.
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.