I have the code below
library(bupar)
library(daqapo)
hospital<-hospital
hospital %>%
rename(start = start_ts,
complete = complete_ts) -> hospital
hospital %>%
convert_timestamps(c("start","complete"), format = dmy_hms) -> hospital
hospital %>%
activitylog(case_id = "patient_visit_nr",
activity_id = "activity",
resource_id = "originator",
timestamps = c("start", "complete")) -> hospital
hospital %>%
detect_missing_values()
which gives
Absolute number of missing values per column:
patient_visit_nr 0
activity 0
originator 2
start 1
complete 0
triagecode 1
specialization 0
.order 0
Relative number of missing values per column (expressed as percentage):
patient_visit_nr 0.000000
activity 0.000000
originator 3.773585
start 1.886792
complete 0.000000
triagecode 1.886792
specialization 0.000000
.order 0.000000
how can I extract those two dataframes merged as one?