# NOTES -------------------------------------------------------------------
# Contains functions under development and some related constants
# CONSTANTS ---------------------------------------------------------------
# ukb special codings -----------------------------------------------------------------
# Used by read_ukb.R
# codings that should, or should not, be converted to NA
CONT_AND_INT_CODINGS_TO_NA <- c(
# Continuous
"13",
"909",
"1317",
# Integer
"100291",
"100586",
"37",
## **NOTEre 37: also see notes under 'Other notes' in
## `ukb_select_codings_to_na.Rmd` re 'polymorphic data fields'
"513",
"485",
"584",
"100696",
"170",
"42",
"525",
"100584",
"218"
)
CONT_AND_INT_CODINGS_NOT_TO_NA <- c(
# Continuous
"488",
# Integer
"100373", # -10 <- 'Less than one'
"100329", # -10 <- 'Less than an hour a day'
"528",
"100290",
"100306",
"100567",
"100569",
"100353", # number of cigarettes previously smoked daily
"487",
"100298",
"100300",
"100307",
"100355", # number of cigarettes currently smoked daily
"100504",
"100537",
"100582",
"100585",
"100595",
"100598",
"530",
"946",
"957",
"100698",
"17",
"1990",
"402",
"511",
"517",
"6361"
)
# EXPORTED FUNCTIONS ------------------------------------------------------
# PRIVATE FUNCTIONS -------------------------------------------------------
#' Flag continuous/integer codings as NA
#'
#' Indicate which continuous/integer codings can be converted to \code{NA}
#' (decided through manual inspection)
#'
#' @param data_dict data frame created by \code{make_data_dict}
#'
#' @return data frame
#' @noRd
function(data_dict) {
# mutate 'cont_int_to_na' column: indicates whether all special codings for a
# continuous/integer variable can be cleaned to 'NA' (see also
# `ukb_select_codings_to_na.Rmd`)
data_dict$cont_int_to_na <- dplyr::case_when(
# CONVERT TO NA
data_dict$Coding %in% CONT_AND_INT_CODINGS_TO_NA ~ TRUE,
# DO *NOT* CONVERT TO NA
data_dict$Coding %in% CONT_AND_INT_CODINGS_NOT_TO_NA ~ FALSE,
TRUE ~ FALSE
)
return(data_dict)
}
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