## code to prepare `DATASET` dataset goes here
library(tidyverse)
library(readxl)
is_posix <- function(x) {
# test whether object 'x' is of class POSIXt/POSIXct/POSIXlt
any(class(x) %in% c("POSIXt", "POSIXct", "POSIXlt"))
}
ll <- readxl::read_xlsx("data-raw/ll_example.xlsx") %>%
mutate_if(is_posix, as.Date) %>%
as.data.frame()
sll <- readxl::read_xlsx("data-raw/sll_example.xlsx") %>%
mutate_if(is_posix, as.Date) %>%
as.data.frame()
ll_queries <- data.frame(
query_id = c(
"ID_01",
"DATES_01",
"DATES_02",
"FACTORS_01",
"LOGIC_01"
),
query = c(
"!grepl(\"^TC[[:digit:]]{3}\", id)",
"date_onset > Sys.Date() | date_admit > Sys.Date() | date_exit > Sys.Date()",
"date_exit < date_admit",
"!lab_result %in% c(\"Positive\", \"Negative\", \"Inc.\", NA)",
"status == \"Confirmed\" & !lab_result %in% \"Positive\""
),
stringsAsFactors = FALSE
)
usethis::use_data(ll, sll, ll_queries, overwrite = TRUE)
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