This vignette covers the included functions and basic +functionality.
+A dataset and a meta data file are provided with the package for +demonstration of the functions.
+
+
+
+
+
+Splitting the dataset +
+
+redcapcast_data |> gt::gt()
+
+
+
+
+| record_id | +redcap_event_name | +redcap_repeat_instrument | +redcap_repeat_instance | +cpr | +inclusion | +inclusion_time | +dob | +age | +age_integer | +sex | +cohabitation | +hypertension | +diabetes | +region | +baseline_data_start_complete | +mrs_assessed | +mrs_date | +mrs_score | +mrs_complete | +con_mrs | +con_calc | +consensus_complete | +event_datetime | +event_age | +event_type | +new_event_complete | +
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | +inclusion | +NA | +NA | +1203401OB4 | +2023-03-13 | +12:38:49 | +1940-03-12 | +83.00239 | +83 | +female | +Yes | +No | +Yes | +East | +Incomplete | +Yes | +2023-03-13 | +1 | +Incomplete | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +
| 2 | +inclusion | +NA | +NA | +0102342303 | +2023-03-01 | +10:38:57 | +1934-02-01 | +89.07780 | +89 | +male | +Yes | +No | +No | +South | +Incomplete | +Yes | +2023-03-07 | +1 | +Incomplete | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +
| 2 | +follow1 | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +Yes | +2023-03-09 | +3 | +Incomplete | +NA | +NA | +Incomplete | +NA | +NA | +NA | +NA | +
| 2 | +follow1 | +New Event (?) | +1 | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +2024-01-18 12:49:42 | +NA | +TIA | +Incomplete | +
| 3 | +inclusion | +NA | +NA | +2301569823 | +2022-03-08 | +12:01:07 | +1956-01-23 | +66.12319 | +66 | +male | +No | +Yes | +Yes | +North | +Incomplete | +NA | +NA | +NA | +Incomplete | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +
| 3 | +follow1 | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +Yes | +2022-08-16 | +2 | +Incomplete | +NA | +NA | +Incomplete | +NA | +NA | +NA | +NA | +
| 3 | +follow2 | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +Yes | +2023-03-13 | +1 | +Incomplete | +NA | +NA | +Incomplete | +NA | +NA | +NA | +NA | +
| 3 | +follow1 | +New Event (?) | +1 | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +2024-01-18 12:49:58 | +NA | +AIS | +Incomplete | +
| 3 | +follow1 | +New Event (?) | +2 | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +2024-01-18 12:50:01 | +NA | +ICH | +Incomplete | +
| 3 | +follow2 | +New Event (?) | +1 | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +2024-01-18 12:50:05 | +NA | +ICH | +Incomplete | +
| 3 | +follow2 | +New Event (?) | +2 | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +2024-01-18 12:50:07 | +NA | +TIA | +Incomplete | +
| 3 | +follow2 | +New Event (?) | +3 | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +2024-01-18 12:50:09 | +NA | +AIS | +Incomplete | +
| 4 | +inclusion | +NA | +NA | +0204051342 | +2023-03-14 | +20:39:19 | +1905-04-02 | +117.94903 | +117 | +female | +NA | +NA | +NA | +NA | +Incomplete | +NA | +NA | +NA | +Incomplete | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +
| 4 | +follow1 | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +Incomplete | +NA | +NA | +Incomplete | +NA | +NA | +NA | +NA | +
| 4 | +follow2 | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +Incomplete | +NA | +NA | +Incomplete | +NA | +NA | +NA | +NA | +
| 4 | +follow1 | +New Event (?) | +1 | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +2001-04-11 08:39:05 | +96 | +TIA | +Complete | +
| 4 | +follow1 | +New Event (?) | +2 | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +2010-04-11 08:39:25 | +105 | +TIA | +Complete | +
| 4 | +follow2 | +New Event (?) | +1 | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +2024-01-18 12:50:19 | +118 | +AIS | +Complete | +
| 4 | +follow2 | +New Event (?) | +2 | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +2024-01-18 12:50:22 | +118 | +ICH | +Incomplete | +
| 4 | +follow2 | +New Event (?) | +3 | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +2024-01-18 12:50:24 | +118 | +Unknown | +Complete | +
| 5 | +inclusion | +NA | +NA | +0201976043 | +2023-03-23 | +08:50:31 | +1897-01-02 | +126.21751 | +126 | +male | +No | +Yes | +Yes | +East | +Complete | +NA | +NA | +NA | +Incomplete | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +
| 5 | +follow1 | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +Incomplete | +NA | +NA | +Incomplete | +NA | +NA | +NA | +NA | +
| 5 | +follow1 | +New Event (?) | +1 | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +2024-04-11 09:00:33 | +127 | +AIS | +Complete | +
| 5 | +follow1 | +New Event (?) | +2 | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +2024-04-11 09:00:41 | +127 | +ICH | +Complete | +
| 6 | +inclusion | +NA | +NA | +1202320122 | +2024-01-25 | +08:49:28 | +1932-02-12 | +91.95261 | +91 | +female | +No | +Yes | +No | +East | +Complete | +NA | +NA | +NA | +Incomplete | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +
+redcapcast_meta |> gt::gt()
+
+
+
+
+| field_name | +form_name | +section_header | +field_type | +field_label | +select_choices_or_calculations | +field_note | +text_validation_type_or_show_slider_number | +text_validation_min | +text_validation_max | +identifier | +branching_logic | +required_field | +custom_alignment | +question_number | +matrix_group_name | +matrix_ranking | +field_annotation | +
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| record_id | +baseline_data_start | +NA | +text | +ID | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +
| cpr | +baseline_data_start | +NA | +text | +CPR (Danish civil registration number) | +NA | +ddmmyyxxxx | +NA | +NA | +NA | +y | +NA | +y | +NA | +NA | +NA | +NA | +NA | +
| inclusion | +baseline_data_start | +NA | +text | +Inclusion date | +NA | +NA | +date_ymd | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +
| inclusion_time | +baseline_data_start | +NA | +text | +Inclusion time | +NA | +NA | +time_hh_mm_ss | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +
| dob | +baseline_data_start | +NA | +text | +Date of birth (From CPR) | +NA | +NA | +date_ymd | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +@CALCTEXT(if([cpr]!="", concat(if(mid([cpr], 7, 1)>=0 and mid([cpr], 7, 1)<=3,19, if(mid([cpr], 5, 2)>=0 and mid([cpr], 5, 2)<=36 and mid([cpr], 7, 1)>=4 and mid([cpr], 7, 1)<=4,20, if(mid([cpr], 5, 2)>=37 and mid([cpr], 5, 2)<=99 and mid([cpr], 7, 1)>=4 and mid([cpr], 7, 1)<=4,19, if(mid([cpr], 5, 2)>=0 and mid([cpr], 5, 2)<=57 and mid([cpr], 7, 1)>=5 and mid([cpr], 7, 1)<=5,20, if(mid([cpr], 5, 2)>=58 and mid([cpr], 5, 2)<=99 and mid([cpr], 7, 1)>=5 and mid([cpr], 7, 1)<=5,18, if(mid([cpr], 5, 2)>=0 and mid([cpr], 5, 2)<=57 and mid([cpr], 7, 1)>=6 and mid([cpr], 7, 1)<=6,20, if(mid([cpr], 5, 2)>=58 and mid([cpr], 5, 2)<=99 and mid([cpr], 7, 1)>=6 and mid([cpr], 7, 1)<=6,18, if(mid([cpr], 5, 2)>=0 and mid([cpr], 5, 2)<=57 and mid([cpr], 7, 1)>=7 and mid([cpr], 7, 1)<=7,20, if(mid([cpr], 5, 2)>=58 and mid([cpr], 5, 2)<=99 and mid([cpr], 7, 1)>=7 and mid([cpr], 7, 1)<=7,18, if(mid([cpr], 5, 2)>=0 and mid([cpr], 5, 2)<=57 and mid([cpr], 7, 1)>=8 and mid([cpr], 7, 1)<=8,20, if(mid([cpr], 5, 2)>=58 and mid([cpr], 5, 2)<=99 and mid([cpr], 7, 1)>=8 and mid([cpr], 7, 1)<=8,18, if(mid([cpr], 5, 2)>=0 and mid([cpr], 5, 2)<=36 and mid([cpr], 7, 1)>=9 and mid([cpr], 7, 1)<=9,20, if(mid([cpr], 5, 2)>=37 and mid([cpr], 5, 2)<=99 and mid([cpr], 7, 1)>=9 and mid([cpr], 7, 1)<=9,19,17))))))))))))), mid([cpr], 5, 2), "-",mid([cpr],3, 2), "-", left([cpr], 2) ), "")) | +
| age | +baseline_data_start | +NA | +calc | +Age +Note: Apparently, the build in datediff() function does not handle counting whole years. This results in wrongly counting age higher around the date of birth. | +if([cpr]!="" and [inclusion]!="", datediff([dob], [inclusion], 'y'), "") | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +
| age_integer | +baseline_data_start | +NA | +calc | +Age integer +Note: as opposed to the build in datediff() this handles counting years as integers very well. Calculate decimal years in statistical programming software. In R you can use with(ds, stRoke::age_calc(dob, inclusion)). | +if([cpr]!="", left([inclusion], 4)-left([dob], 4) - if(mid([dob], 6, 2) < mid([inclusion], 6, 2) or (mid([dob], 6, 2) = mid([inclusion], 6, 2) and mid([dob], 9, 2) <= mid([inclusion], 9, 2)), 0, 1),"") | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +
| sex | +baseline_data_start | +NA | +text | +Legal sex | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +@CALCTEXT(if([cpr]!="",if((right([cpr],1)=1 or right([cpr],1)=3 or right([cpr],1)=5 or right([cpr],1)=7 or right([cpr],1)=9),"male","female"),"")) | +
| cohabitation | +baseline_data_start | +History and social | +radio | +Cohabitation | +1, Yes | 2, No | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +
| hypertension | +baseline_data_start | +NA | +radio | +Hypertension | +1, Yes | 2, No | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +
| diabetes | +baseline_data_start | +NA | +radio | +Diabetes | +1, Yes | 2, No | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +
| region | +baseline_data_start | +Area | +dropdown | +Region | +1, North | 2, East | 3, South | 4, West | +NA | +autocomplete | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +
| mrs_assessed | +mrs | +NA | +radio | +Assesed | +1, Yes | 2, No | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +
| mrs_date | +mrs | +NA | +text | +Assessment date | +NA | +NA | +date_dmy | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +
| mrs_score | +mrs | +NA | +radio | +mRS score | +0, 0 | 1, 1 | 2, 2 | 3, 3 | 4, 4 | 5, 5 | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +
| con_event_note | +consensus | +NA | +descriptive | +[follow1_arm_1][event_type][1] : [follow1_arm_1][event_type][2] | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +
| con_mrs | +consensus | +NA | +text | +Same event type | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +@IF('[follow1_arm_1][event_type][1]'='[follow1_arm_1][event_type][2]',@DEFAULT='pass',@DEFAULT="fail") | +
| con_calc | +consensus | +NA | +text | +calc | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +@CALCTEXT(if([follow1_arm_1][event_type][1]=[follow1_arm_1][event_type][2],[follow1_arm_1][event_type][1],"fail")) | +
| event_datetime | +new_event | +NA | +text | +Time of event | +NA | +NA | +datetime_seconds_ymd | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +
| event_age | +new_event | +NA | +calc | +Age at event | +if([event_datetime]!="", left([event_datetime], 4)-left([inclusion_arm_1][dob], 4) - if(mid([inclusion_arm_1][dob], 6, 2) < mid([event_datetime], 6, 2) or (mid([inclusion_arm_1][dob], 6, 2) = mid([event_datetime], 6, 2) and mid([inclusion_arm_1][dob], 9, 2) <= mid([event_datetime], 9, 2)), 0, 1),"") | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +
| event_type | +new_event | +NA | +radio | +Neurovascular event | +1, TIA | 2, AIS | 3, ICH | 4, SAH | 99, Unknown | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +NA | +
+list <-
+ REDCap_split(
+ records = redcapcast_data,
+ metadata = redcapcast_meta,
+ forms = "all"
+ ) |>
+ sanitize_split()
+str(list)
+#> List of 4
+#> $ baseline_data_start: tibble [6 × 14] (S3: tbl_df/tbl/data.frame)
+#> ..$ record_id : num [1:6] 1 2 3 4 5 6
+#> ..$ redcap_event_name : chr [1:6] "inclusion" "inclusion" "inclusion" "inclusion" ...
+#> ..$ cpr : chr [1:6] "1203401OB4" "0102342303" "2301569823" "0204051342" ...
+#> ..$ inclusion : Date[1:6], format: "2023-03-13" "2023-03-01" ...
+#> ..$ inclusion_time : 'hms' num [1:6] 12:38:49 10:38:57 12:01:07 20:39:19 ...
+#> .. ..- attr(*, "units")= chr "secs"
+#> ..$ dob : Date[1:6], format: "1940-03-12" "1934-02-01" ...
+#> ..$ age : num [1:6] 83 89.1 66.1 117.9 126.2 ...
+#> ..$ age_integer : num [1:6] 83 89 66 117 126 91
+#> ..$ sex : chr [1:6] "female" "male" "male" "female" ...
+#> ..$ cohabitation : chr [1:6] "Yes" "Yes" "No" NA ...
+#> ..$ hypertension : chr [1:6] "No" "No" "Yes" NA ...
+#> ..$ diabetes : chr [1:6] "Yes" "No" "Yes" NA ...
+#> ..$ region : chr [1:6] "East" "South" "North" NA ...
+#> ..$ baseline_data_start_complete: chr [1:6] "Incomplete" "Incomplete" "Incomplete" "Incomplete" ...
+#> ..- attr(*, "problems")=<externalptr>
+#> $ mrs : tibble [5 × 6] (S3: tbl_df/tbl/data.frame)
+#> ..$ record_id : num [1:5] 1 2 2 3 3
+#> ..$ redcap_event_name: chr [1:5] "inclusion" "inclusion" "follow1" "follow1" ...
+#> ..$ mrs_assessed : chr [1:5] "Yes" "Yes" "Yes" "Yes" ...
+#> ..$ mrs_date : Date[1:5], format: "2023-03-13" "2023-03-07" ...
+#> ..$ mrs_score : num [1:5] 1 1 3 2 1
+#> ..$ mrs_complete : chr [1:5] "Incomplete" "Incomplete" "Incomplete" "Incomplete" ...
+#> ..- attr(*, "problems")=<externalptr>
+#> $ consensus : tibble [0 × 5] (S3: tbl_df/tbl/data.frame)
+#> ..$ record_id : num(0)
+#> ..$ redcap_event_name : chr(0)
+#> ..$ con_mrs : logi(0)
+#> ..$ con_calc : logi(0)
+#> ..$ consensus_complete: chr(0)
+#> ..- attr(*, "problems")=<externalptr>
+#> $ new_event : tibble [13 × 8] (S3: tbl_df/tbl/data.frame)
+#> ..$ record_id : num [1:13] 2 3 3 3 3 3 4 4 4 4 ...
+#> ..$ redcap_event_name : chr [1:13] "follow1" "follow1" "follow1" "follow2" ...
+#> ..$ redcap_repeat_instrument: chr [1:13] "new_event" "new_event" "new_event" "new_event" ...
+#> ..$ redcap_repeat_instance : num [1:13] 1 1 2 1 2 3 1 2 1 2 ...
+#> ..$ event_datetime : POSIXct[1:13], format: "2024-01-18 12:49:42" "2024-01-18 12:49:58" ...
+#> ..$ event_age : num [1:13] NA NA NA NA NA NA 96 105 118 118 ...
+#> ..$ event_type : chr [1:13] "TIA" "AIS" "ICH" "ICH" ...
+#> ..$ new_event_complete : chr [1:13] "Incomplete" "Incomplete" "Incomplete" "Incomplete" ...
+#> ..- attr(*, "problems")=<externalptr>
+
+
+Reading data from REDCap +
+This function wraps all the above demonstrated function to get the
+dataset, the metadata, apply the REDCap_splitfunction and
+then a bit of cleaning. It just cuts outs all the steps for an easier
+approach.
The function works very similar to the
+REDCapR::redcap_read() in allowing to specify fields,
+events and forms for export instead of exporting the whole database and
+filtering afterwards. I believe this is a better and safer, focused
+approach.
+# read_redcap_tables(uri = "YOUR URI", token = "YOUR TOKEN")
+
+
+ Pivotting to wider format +
+
+redcap_wider(list) |> str()
+#> Joining with `by = join_by(record_id)`
+#> Joining with `by = join_by(record_id)`
+#> Joining with `by = join_by(record_id)`
+#> 'data.frame': 6 obs. of 52 variables:
+#> $ record_id : num 1 2 3 4 5 6
+#> $ cpr : chr "1203401OB4" "0102342303" "2301569823" "0204051342" ...
+#> $ inclusion : Date, format: "2023-03-13" "2023-03-01" ...
+#> $ inclusion_time : 'hms' num 12:38:49 10:38:57 12:01:07 20:39:19 ...
+#> ..- attr(*, "units")= chr "secs"
+#> $ dob : Date, format: "1940-03-12" "1934-02-01" ...
+#> $ age : num 83 89.1 66.1 117.9 126.2 ...
+#> $ age_integer : num 83 89 66 117 126 91
+#> $ sex : chr "female" "male" "male" "female" ...
+#> $ cohabitation : chr "Yes" "Yes" "No" NA ...
+#> $ hypertension : chr "No" "No" "Yes" NA ...
+#> $ diabetes : chr "Yes" "No" "Yes" NA ...
+#> $ region : chr "East" "South" "North" NA ...
+#> $ baseline_data_start_complete: chr "Incomplete" "Incomplete" "Incomplete" "Incomplete" ...
+#> $ mrs_assessed_inclusion : chr "Yes" "Yes" NA NA ...
+#> $ mrs_assessed_follow1 : chr NA "Yes" "Yes" NA ...
+#> $ mrs_assessed_follow2 : chr NA NA "Yes" NA ...
+#> $ mrs_date_inclusion : Date, format: "2023-03-13" "2023-03-07" ...
+#> $ mrs_date_follow1 : Date, format: NA "2023-03-09" ...
+#> $ mrs_date_follow2 : Date, format: NA NA ...
+#> $ mrs_score_inclusion : num 1 1 NA NA NA NA
+#> $ mrs_score_follow1 : num NA 3 2 NA NA NA
+#> $ mrs_score_follow2 : num NA NA 1 NA NA NA
+#> $ mrs_complete_inclusion : chr "Incomplete" "Incomplete" NA NA ...
+#> $ mrs_complete_follow1 : chr NA "Incomplete" "Incomplete" NA ...
+#> $ mrs_complete_follow2 : chr NA NA "Incomplete" NA ...
+#> $ con_mrs : logi NA NA NA NA NA NA
+#> $ con_calc : logi NA NA NA NA NA NA
+#> $ consensus_complete : chr NA NA NA NA ...
+#> $ event_datetime_1_follow1 : POSIXct, format: NA "2024-01-18 12:49:42" ...
+#> $ event_datetime_1_follow2 : POSIXct, format: NA NA ...
+#> $ event_age_1_follow1 : num NA NA NA 96 127 NA
+#> $ event_age_1_follow2 : num NA NA NA 118 NA NA
+#> $ event_type_1_follow1 : chr NA "TIA" "AIS" "TIA" ...
+#> $ event_type_1_follow2 : chr NA NA "ICH" "AIS" ...
+#> $ new_event_complete_1_follow1: chr NA "Incomplete" "Incomplete" "Complete" ...
+#> $ new_event_complete_1_follow2: chr NA NA "Incomplete" "Complete" ...
+#> $ event_datetime_2_follow1 : POSIXct, format: NA NA ...
+#> $ event_datetime_2_follow2 : POSIXct, format: NA NA ...
+#> $ event_datetime_3_follow1 : POSIXct, format: NA NA ...
+#> $ event_datetime_3_follow2 : POSIXct, format: NA NA ...
+#> $ event_age_2_follow1 : num NA NA NA 105 127 NA
+#> $ event_age_2_follow2 : num NA NA NA 118 NA NA
+#> $ event_age_3_follow1 : num NA NA NA NA NA NA
+#> $ event_age_3_follow2 : num NA NA NA 118 NA NA
+#> $ event_type_2_follow1 : chr NA NA "ICH" "TIA" ...
+#> $ event_type_2_follow2 : chr NA NA "TIA" "ICH" ...
+#> $ event_type_3_follow1 : chr NA NA NA NA ...
+#> $ event_type_3_follow2 : chr NA NA "AIS" "Unknown" ...
+#> $ new_event_complete_2_follow1: chr NA NA "Incomplete" "Complete" ...
+#> $ new_event_complete_2_follow2: chr NA NA "Incomplete" "Incomplete" ...
+#> $ new_event_complete_3_follow1: chr NA NA NA NA ...
+#> $ new_event_complete_3_follow2: chr NA NA "Incomplete" "Complete" ...