Nothing
## ----setup, include = FALSE---------------------------------------------------
knitr::opts_chunk$set(echo = TRUE)
## ----declare, echo = F--------------------------------------------------------
## ----install-codified---------------------------------------------------------
# if( !requireNamespace("codified", quietly = TRUE) )
# remotes::install_github(repo = "OuhscBbmc/codified")
library(codified)
## ----local-establish----------------------------------------------------------
path <- system.file("misc/example-data-1.csv", package = "codified")
col_types <- readr::cols_only(
record_id = readr::col_integer(),
name_last = readr::col_character(),
dob = readr::col_date(format = ""),
gender = readr::col_integer(),
race = readr::col_integer(),
ethnicity = readr::col_integer()
)
ds <- readr::read_csv(path, col_types = col_types) |>
dplyr::mutate(
gender = as.character(gender),
race = as.character(race),
ethnicity = as.character(ethnicity)
)
ds |>
head(10) |>
knitr::kable(caption = "Observed Dataset (first ten rows)")
ds_lu_gender <- tibble::tribble(
~input, ~displayed ,
"0" , "Female" ,
"1" , "Male" ,
"U" , "Unknown/Not Reported"
)
knitr::kable(ds_lu_gender, caption = "Gender Mapping")
ds_lu_race <- tibble::tribble(
~input , ~displayed ,
"1" , "American Indian/Alaska Native" ,
"2" , "Asian" ,
"3" , "Native Hawaiian or Other Pacific Islander" ,
"4" , "Black or African American" ,
"5" , "White" ,
"M" , "More than One Race" ,
"6" , "Unknown or Not Reported"
)
knitr::kable(ds_lu_race, caption = "Race Mapping")
ds_lu_ethnicity <- tibble::tribble(
~input, ~displayed ,
"2" , "Not Hispanic or Latino" ,
"1" , "Hispanic or Latino" ,
"0" , "Unknown/Not Reported Ethnicity"
)
knitr::kable(ds_lu_ethnicity, caption = "Ethnicity Mapping")
## ----local-apply-map----------------------------------------------------------
ds_summary_long <- codified::table_nih_enrollment(
d = ds,
d_lu_gender = ds_lu_gender,
d_lu_race = ds_lu_race,
d_lu_ethnicity = ds_lu_ethnicity
)
knitr::kable(ds_summary_long, caption = "Counts of Each Subgroup")
## ----local-cosmetically-format------------------------------------------------
codified::table_nih_enrollment_pretty(
d = ds,
d_lu_gender = ds_lu_gender,
d_lu_race = ds_lu_race,
d_lu_ethnicity = ds_lu_ethnicity
)
## ----install-redcapr----------------------------------------------------------
# if( !requireNamespace("REDCapR", quietly = TRUE) )
# remotes::install_github("OuhscBbmc/REDCapR")
library(REDCapR)
## ----redcap-establish---------------------------------------------------------
ds_2 <-
readr::read_csv(
file = system.file("misc/example-data-2.csv", package = "codified"),
col_types = readr::cols(.default = readr::col_character())
)
## ----redcap-local-cosmetically-format-----------------------------------------
table_nih_enrollment_pretty(
d = ds_2,
d_lu_gender = ds_lu_gender,
d_lu_race = ds_lu_race,
d_lu_ethnicity = ds_lu_ethnicity
)
## ----collapsing-levels--------------------------------------------------------
ds_lu_race_3 <- tibble::tribble(
~input , ~displayed ,
"American Indian" , "American Indian/Alaska Native" , # Combine w/ Alaska Native
"Alaska Native" , "American Indian/Alaska Native" , # Combine w/ American Indian
"Asian" , "Asian" ,
"Native Hawaiian" , "Native Hawaiian or Other Pacific Islander" , # Combine w/ Pacific Islanders
"Pacific Islander" , "Native Hawaiian or Other Pacific Islander" , # Combine w/ Hawaiian
"Black or African American" , "Black or African American" ,
"White" , "White" ,
"More than One Race" , "More than One Race" ,
"Unknown or Not Reported" , "Unknown or Not Reported"
)
ds_3 <- tibble::tribble(
~subject_id, ~gender , ~race , ~ethnicity ,
1L, "Female" , "American Indian", "Not Hispanic or Latino" ,
2L, "Male" , "American Indian", "Not Hispanic or Latino" ,
3L, "Male" , "American Indian", "Not Hispanic or Latino" ,
4L, "Female" , "Alaska Native" , "Not Hispanic or Latino" ,
5L, "Male" , "Alaska Native" , "Not Hispanic or Latino" ,
6L, "Male" , "Alaska Native" , "Not Hispanic or Latino" ,
7L, "Male" , "White" , "Not Hispanic or Latino" ,
8L, "Male" , "White" , "Not Hispanic or Latino"
)
table_nih_enrollment_pretty(
d = ds_3,
d_lu_race = ds_lu_race_3
)
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