Description Usage Format See Also Examples
Provides lookup tables for use with alcohol attributable fractions analyses.
1 |
data frame with 69 rows and 7 fields
1 2 3 4 5 6 7 8 | Classes <e2><80><98>tbl_df<e2><80><99>, <e2><80><98>tbl<e2><80><99> and 'data.frame': 69 obs. of 7 variables:
$ cat1 : Factor w/ 3 levels "Partially attributable conditions - acute conditions",..: 3 3 3 3 3 3 3 3 3 3 ...
$ cat2 : Factor w/ 12 levels "Cardiovascular disease",..: 12 12 12 12 12 12 12 12 12 12 ...
$ desc : Factor w/ 66 levels "Accidental excessive cold",..: 7 47 19 12 11 8 9 10 5 6 ...
$ attribution : logi NA NA NA NA NA NA ...
$ cause : logi NA NA NA NA NA NA ...
$ codes : Factor w/ 68 levels "A15-A19","C00-C14",..: 11 12 13 15 16 19 27 28 34 35 ...
$ condition_uid: int 1 2 3 4 5 6 7 8 9 10 ...
|
Other alcohol datasets: aa_fractions
,
aa_versions
,
alcohol_datasets
,
lu_aac_icd10
, sa_versions
1 2 3 4 5 6 7 8 | if (isNamespaceLoaded("dplyr")) {
require("dplyr")
aafractions.ncc::aa_conditions %>%
mutate_if(is.character, as.factor) %>%
select(-starts_with("condition_"), -codes, -desc) %>%
summary(16)
}
|
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