Description Usage Format See Also Examples
Provides lookup tables for use with Urgent care sensitive analyses.
1 |
data frame with 69 rows and 7 fields
1 2 3 4 5 6 7 | 'data.frame': 5920 obs. of 6 variables:
$ version : Factor w/ 4 levels "aaf_2007_ni39",..: 1 1 1 1 1 1 1 1 1 1 ...
$ condition_uid: int 1 1 1 1 1 1 1 1 1 1 ...
$ aa_ageband : chr "00-15 Yrs" "16-24 Yrs" "25-34 Yrs" "35-44 Yrs" ...
$ sex : chr "F" "F" "F" "F" ...
$ analysis_type: chr "morbidity" "morbidity" "morbidity" "morbidity" ...
$ aaf : num 1 1 1 1 1 1 1 1 1 1 ...
|
Other urgent care sensitive datasets: uc_attribution
,
uc_conditions
, uc_versions
,
ucs_datasets
1 2 3 4 5 6 7 8 9 10 | if (all(sapply(c("dplyr", "reshape2"), isNamespaceLoaded))) {
require("dplyr", warn.conflicts = FALSE)
require("reshape2", warn.conflicts = FALSE)
aafractions.ncc::lu_ucc_icd10 %>%
merge(aafractions.ncc::uc_versions, by = "condition_uid", allow.cartesian = TRUE) %>%
dcast(... ~ version, value.var = "condition_uid", fun = paste, collapse = "|") %>%
arrange(icd10) %>%
head(16)
}
|
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