sas_simd_domains: Domain rankings for SIMD 16 derived from SAS proceedure
In TheDataLabScotland/simdr: Calculating the Scottish Index of Multiple Deprivation
Description
Usage
Format
Details
Source
Description
The published ranks of the individual domains and the overall SIMD rank for 2016 calculated in SAS.
The highest ranked data zones are the most deprived geographic areas.
We include this data for the purposes of measuring the correspondence of ranks calculated in R with ranks calculated in SAS.
Usage
1
Format
A data frame with 6976 rows and 13 variables:
- DZ
Data Zone
- IZ
- LA
Local Authority
- pop
Population
- wapop
Working age Population
- incrnk
Income Domain Rank
- emprnk
Employment Domain Rank
- hearnk
Health Domain Rank
- edurnk
Education Domain Rank
- accrnk
Access Domain Rank
- crirnk
Crime Domain Rank
- hournk
Housing Domain Rank
- SIMD
Overall SIMD Rank
...
Details
Please see the technical notes http://www.gov.scot/Resource/0050/00504822.pdf for full information on all of the data in SIMD.
Source
http://www.gov.scot/Topics/Statistics/SIMD
TheDataLabScotland/simdr documentation built on May 29, 2019, 1:05 p.m.
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.
Description Usage Format Details Source
Description
The published ranks of the individual domains and the overall SIMD rank for 2016 calculated in SAS. The highest ranked data zones are the most deprived geographic areas. We include this data for the purposes of measuring the correspondence of ranks calculated in R with ranks calculated in SAS.
Usage
1 |
Format
A data frame with 6976 rows and 13 variables:
- DZ
Data Zone
- IZ
- LA
Local Authority
- pop
Population
- wapop
Working age Population
- incrnk
Income Domain Rank
- emprnk
Employment Domain Rank
- hearnk
Health Domain Rank
- edurnk
Education Domain Rank
- accrnk
Access Domain Rank
- crirnk
Crime Domain Rank
- hournk
Housing Domain Rank
- SIMD
Overall SIMD Rank
...
Details
Please see the technical notes http://www.gov.scot/Resource/0050/00504822.pdf for full information on all of the data in SIMD.
Source
http://www.gov.scot/Topics/Statistics/SIMD
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.
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