## code to prepare `example_evaluation_1` dataset goes here
# Download and read the data ---------------------------------------------------
library(magrittr)
url_root <- "https://www.accessdata.fda.gov/cdrh_docs/presentations/maf/"
maf <- "maf3246-a001.csv"
# A Panel 1 evaluation:
ex_eval <-
readr::read_csv(
file = paste0(url_root, maf),
col_types =
readr::cols(
date_performed = readr::col_date(format = ""),
days_from_symptom = readr::col_double(),
.default = readr::col_character()
)
)
# Build the evaluation sheet ---------------------------------------------------
suppressWarnings(
example_evaluation_1 <-
build_evaluation_sheet(
evaluation_name = "Test of NCI Panel 1 Evaluation",
evaluation_description = "Nothing",
developer = "ACME Assay Development, Inc.",
assay = ex_eval$device %>% unique(),
lot_numbers = ex_eval$lot_number %>% unique(),
panel_data = dxr::example_panel_1,
panel_data_filepath = NA_character_,
# We'll fudge IgM by repeating the IgG results
analytes = c("IgM", "IgG"),
targets = "Spike",
# Suppressing warnings because we have different outcomes than the panel
qualitative_outcomes = c("Positive", "Borderline", "Negative"),
semiquantitative_outcomes = NA_character_,
quantitative_units = NA_character_,
randomize = FALSE,
blind = FALSE
)
)
example_evaluation_1$evaluation_table$sample <-
c(ex_eval$sample_id, ex_eval$sample_id)
example_evaluation_1$evaluation_table$datetime_observation <-
c(ex_eval$date_performed, ex_eval$date_performed)
example_evaluation_1$evaluation_table$qualitative_result <-
c(ex_eval$igg_result, ex_eval$igg_result)
example_evaluation_1$evaluation_table$analyte <-
c(rep("IgM", 110), rep("IgG", 110))
usethis::use_data(example_evaluation_1, overwrite = TRUE)
# Document the dataset ---------------------------------------------------------
documentation_text <-
c(
"Example Evaluation 1",
"",
"A made up example evaluation. ",
"",
"@format A list of tibbles.",
"",
"\\describe{",
dplyr::glimpse(example_evaluation_1, width = 76) %>%
utils::capture.output(type = c("output")) %>%
magrittr::extract(-c(1)) %>%
stringr::str_replace(
string = .,
pattern = "(^\\s{0,2}\\$\\s\\w*\\s*)", # the column name
replacement =
paste0(
" \\\\item{",
stringr::str_extract(
string = .,
pattern = "(?<=^\\s{0,2}\\$\\s)\\b\\w*\\b"
),
"}{"
)
) %>%
stringr::str_replace(
string = .,
pattern = "(^\\s{0,2}\\.{2}\\$\\s\\w*\\s*)", # the column name
replacement =
paste0(
" \\\\item{",
stringr::str_extract(
string = .,
pattern = "(?<=^\\s{0,2}\\.{2}\\$\\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() ,
"}",
"",
"@source ",
"Contrived based on the data from ",
paste0("[", maf, "](", url_root, maf, ")"),
paste0("accessed ", lubridate::today(), "."),
" "
) %>%
paste0("#' ", .) %>%
c(
paste0(
"# Do not hand edit this file. Edit data-raw/example_evaluation_1.R ",
"instead."
),
.,
"\"example_evaluation_1\""
) %>%
stringr::str_squish() %T>%
readr::write_lines(
x = .,
file = "R/example_evaluation_1.R",
append = FALSE
)
devtools::document()
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