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# This function is a modification of a bdc function and flags columns as FALSE when they have a
# coordiante uncertainty over a user-set threshold.
# This function was written on the 2nd of August 2022 by James Dorey. Email James at
# jbdorey[at]me.com for help.
#' Flag occurrences with an uncertainty threshold
#'
#' To use this function, the user must choose a column, probably "coordinateUncertaintyInMeters"
#' and a threshold above which occurrences will be flagged for geographic uncertainty.
#'
#' @param data A data frame or tibble. Occurrence records as input.
#' @param uncerColumn Character. The column to flag uncertainty in.
#' @param threshold Numeric. The uncertainty threshold. Values equal to, or greater than, this
#' threshold will be flagged.
#'
#' @return The input data with a new column, .uncertaintyThreshold.
#' @export
#' @importFrom dplyr %>%
#'
#' @examples
#' # Run the function
#' beesRaw_out <- coordUncerFlagR(data = beesRaw,
#' uncerColumn = "coordinateUncertaintyInMeters",
#' threshold = 1000)
#' # View the output
#' table(beesRaw_out$.uncertaintyThreshold, useNA = "always")
coordUncerFlagR <-
function(data = NULL,
uncerColumn = "coordinateUncertaintyInMeters",
threshold = NULL) {
.data <- .occurrenceAbsent <- NULL
requireNamespace("dplyr")
# Make a new column called .occurrenceAbsent to be TRUE when occurrenceStatus is "present" or NA
data <-
data %>%
dplyr::mutate(
.uncertaintyThreshold =
!.data[[uncerColumn]] > threshold)
# Return user output
message(
paste(
"\\coordUncerFlagR:\n",
"Flagged",
format(sum(data$.uncertaintyThreshold == FALSE, na.rm = TRUE), big.mark = ","),
"geographically uncertain records:\n",
"The column '.uncertaintyThreshold' was added to the database.\n"
)
)
return(data)
}
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