library(coder)This vignette contains some example data used in the other vignettes.
ex_people contains 100 patients (with random names from the randomNames package) who received total hip arthroplasty (THA) surgery at given (random) dates (surgery column). This data represent a sample from a national quality register.
See also ?ex_people.
ex_people
#> # A tibble: 100 x 2
#> name surgery
#> <chr> <date>
#> 1 Chen, Trevor 2020-09-29
#> 2 Graves, Acineth 2020-06-21
#> 3 Trujillo, Yanelly 2020-06-08
#> 4 Simpson, Kenneth 2020-09-10
#> 5 Chin, Nelson 2020-08-24
#> 6 Le, Christina 2020-03-28
#> 7 Kang, Xuan 2020-06-30
#> 8 Shuemaker, Lauren 2020-03-29
#> 9 Boucher, Teresa 2020-09-04
#> 10 Le, Soraiya 2020-08-09
#> # … with 90 more rowsWe are interested in comorbidity for the patients above and have collected some synthesized diagnostics data (ex_icd10) from a national patient register (we can at least assume that for now). Patients have one entry for every combination of recorded diagnoses codes according to the International classification of diseases version 10, icd10, and corresponding dates of hospital admissions for which those codes were recorded. (Column hdia is TRUE for main diagnoses and FALSE for underlying/less relevant codes).
See also ?ex_icd10.
ex_icd10
#> # A tibble: 2,376 x 4
#> name admission icd10 hdia
#> <chr> <date> <chr> <lgl>
#> 1 Tran, Kenneth 2020-04-12 S134A FALSE
#> 2 Tran, Kenneth 2020-09-26 W3319 FALSE
#> 3 Tran, Kenneth 2020-09-05 Y0262 TRUE
#> 4 Tran, Kenneth 2020-07-29 X0488 FALSE
#> 5 Sommerville, Dominic 2020-09-17 V8104 FALSE
#> 6 Sommerville, Dominic 2020-04-28 B853 FALSE
#> 7 Sommerville, Dominic 2020-09-12 Q174 FALSE
#> 8 Sommerville, Dominic 2020-05-03 A227 FALSE
#> 9 Sommerville, Dominic 2020-09-07 H702 FALSE
#> 10 Sommerville, Dominic 2019-12-31 X6051 TRUE
#> # … with 2,366 more rowsAssume we have some external code data from a national prescription register. Such register would likely cover additional patients but let’s just consider a small sample with ATC codes for patients above, such that each patient can have zero, one, or several codes prescribed at different dates.
ex_atc
#> # A tibble: 10,000 x 4
#> name atc prescription code
#> <chr> <chr> <date> <chr>
#> 1 Meier, Hayden QC01BD02 2012-08-18 q7g-QC01BD02x8
#> 2 Garza, Kenia C05AA05 2017-02-26 l3e-C05AA05f2
#> 3 Chapa, Nicholas L01XC29 2017-07-17 o5v-L01XC29x2
#> 4 Slater, Trina QI07AA03 2012-08-03 d8r.QI07AA03a0
#> 5 Banks, Silbret QD06BB11 2014-03-01 x5q?QD06BB11g1
#> 6 Winn, Robert M01CC 2014-12-19 h4k.M01CCs1
#> 7 Cornelius, Kelly A16AA07 2017-11-30 r0j.A16AA07j6
#> 8 Rubin, Miriah QD10AD 2013-09-24 t2l?QD10ADg7
#> 9 Slater, Trina A12AA09 2015-09-13 n4w.A12AA09l3
#> 10 Jefferson, Deontrae S01AA05 2012-06-26 v1l?S01AA05s7
#> # … with 9,990 more rows