## code to prepare `pma` dataset goes here
library(magrittr)
devtools::load_all()
pma <- etl_pma(refresh_data = TRUE, download_directory = "data-raw/")
usethis::use_data(pma, overwrite = TRUE, compress = "xz")
# Document the dataset ---------------------------------------------------------
documentation_text <-
c(
"PMA",
"",
"FDA's PMA Database download file. ",
"",
"Get the latest data using \\code{fdadata::etl_pma()}.",
"",
paste0(
"@format A tibble with ",
nrow(pma),
" rows and ",
length(pma),
" fields: "
),
"",
"\\describe{",
dplyr::glimpse(pma, width = 76) %>%
utils::capture.output(type = c("output")) %>%
magrittr::extract(-c(1:2)) %>%
stringr::str_replace(
string = .,
pattern = "(^\\$\\s\\w*\\s*)", # the column name
replacement =
paste0(
" \\\\item{",
stringr::str_extract(
string = .,
pattern = "(?<=^\\$\\s)\\b\\w*\\b"
),
"}{"
)
) %>%
paste0(., "}") %>%
# Square brackets are a link in Roxygen. Replace:
stringr::str_remove_all(
string = .,
pattern = "\\[|\\]|\\<|\\>"
) %>%
# Remove formatting strings
stringr::str_remove_all(
string = .,
pattern = stringr::fixed("\0333m\03338;5;246m")
) %>%
stringr::str_remove_all(
string = .,
pattern = stringr::fixed("\03339m\03323m")
) %>%
stringr::str_wrap(
string = .,
width = 76
) %>%
stringr::str_split(pattern = "\\n") %>%
unlist() ,
"}",
"",
paste0(
"@source [FDA PMA Download File](",
"https://www.fda.gov/medical-devices/",
"device-approvals-denials-and-clearances/pma-approvals",
")"
),
paste0("accessed ", lubridate::today(), ".")
) %>%
paste0("#' ", .) %>%
c(
paste0(
"# Do not hand edit this file. Edit data-raw/pma.R ",
"instead."
),
.,
"\"pma\""
) %>%
stringr::str_squish() %T>%
readr::write_lines(
x = .,
file = "R/pma.R",
append = FALSE
)
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