sp: Lookup for smoking prevalence

Description Usage Format See Also Examples

Description

To be combined with relative risk to arrive at attributable fraction

Usage

1

Format

data frame with 19,012 rows and 9 fields

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Observations: 19,012
Variables: 9
$ smoking_status <chr> "current", "current", "current", "current", "current", "current", "current", "current", ...
$ calyear        <int> 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011...
$ area_code      <chr> "E92000001", "E92000001", "E92000001", "E92000001", "E92000001", "E92000001", "E92000001...
$ area_name      <chr> "England", "England", "England", "England", "England", "England", "England", "England", ...
$ area_type      <chr> "England", "England", "England", "England", "England", "England", "England", "England", ...
$ sex            <chr> "M", "F", "P", "P", "P", "P", "P", "P", "P", "P", "P", "P", "P", "P", "P", "P", "P", "P"...
$ age            <chr> "18+ yrs", "18+ yrs", "25-29 yrs", "30-34 yrs", "35-39 yrs", "40-44 yrs", "45-49 yrs", "...
$ value          <dbl> 22.1785, 17.6335, 27.1005, 24.1422, 23.3574, 22.5773, 21.5718, 20.1515, 19.4923, 16.2628...
$ version        <chr> "phe_ltcp_201903", "phe_ltcp_201903", "phe_ltcp_201903", "phe_ltcp_201903", "phe_ltcp_20...

See Also

Other smoking datasets: lu_sac_icd10, sa_conditions, sa_relrisk, smoking_datasets

Examples

1

ianbatesncc/aafractions.ncc documentation built on May 3, 2019, 3:34 p.m.