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# This function, written by James Dorey builds flags from the Ascher notes column
# For queries, please contact James Dorey at jbdorey[at]me.com
# This function was started on 13th May 2022 and last updated 17th May 2022
#' @importFrom dplyr %>%
#'
#'
# Build a function that finds flags in the notes column and standardizes them into the flags column
flag_converter <- function(SynFile = DLdf){
# locally bind variables to the function
DLdf <- . <- Combined <- NULL
requireNamespace("dplyr")
#### 1.1 doubtful ####
# Doubtful species strings to find and matches
doubt_sp_str <-c("nomen dubium","doubtful synonymy","doubtful synonym")
doubt_sp_replacements <- SynFile$notes %>%
# Extract those strings
stringr::str_extract(paste(doubt_sp_str,
collapse = "|")) %>%
# Repalce those strings
stringr::str_replace(pattern = paste(doubt_sp_str,
collapse = "|"),
replacement = "doubtful species") %>%
as.character() %>% as.data.frame()
#### 1.2 Syn Issue ####
# Syn Issue strings to find and matches
synIss_str <-c("partim")
synIss_replacements <- SynFile$notes %>%
# Extract those strings
stringr::str_extract(paste(synIss_str,
collapse = "|")) %>%
# Repalce those strings
stringr::str_replace(pattern = paste(synIss_str,
collapse = "|"),
replacement = "synonym issue") %>%
as.character() %>% as.data.frame()
#### 1.3 Auth Issue ####
authIss_str <-c("auct", "auct , not Fabricius", "Auctorum", "Auct", "_auct",
"auct.", "miscitation")
authIss_replacements <- SynFile$notes %>%
# Extract those strings
stringr::str_extract(paste(authIss_str,
collapse = "|")) %>%
# Repalce those strings
stringr::str_replace(pattern = paste(authIss_str,
collapse = "|"),
replacement = "authorship issue") %>%
as.character() %>% as.data.frame()
#### 1.4 Auth not provided ####
# If the authorship column is empty, flag...
noAuth <- ifelse(is.na(SynFile$authorship), "author not provided", NA) %>%
as.character() %>% as.data.frame()
#### 2.0 Merge flags ####
MergedFlags <- dplyr::bind_cols(doubt_sp_replacements, synIss_replacements, authIss_replacements,
noAuth) %>%
# Concatenate the columns into one
tidyr::unite(., col = Combined,
na.rm = TRUE, sep = ", ")
return(MergedFlags)
} # END function
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