Nothing
# Cleans data.frames into synthesisr format
#' @rdname clean_
clean_df <- function(data){
colnames(data) <- clean_colnames(colnames(data))
if(any(colnames(data) == "author")){
data$author <- clean_authors(data$author)
}
return(data)
}
# Standardize author delimiters
#' @rdname clean_
clean_authors <- function(x){
if(any(grepl("\\sand\\s|\\sAND\\s|\\s&\\s", x))){
x <- gsub("\\sAND\\s|\\s&\\s", " and ", x)
}else{
x <- gsub(",(?=\\s[[:alpha:]]{2,})", " and ", x, perl = TRUE)
}
x <- gsub("\\s{2, }", " ", x)
return(x)
}
# Clean common issues with column names
#' @rdname clean_
clean_colnames <- function(
x # colnames
){
if(inherits(x, "data.frame")){
x <- colnames(x)
}
x <- sub("^(X|Y|Z)\\.+", "", x) # remove leading X
x <- sub("^[[:punct:]]*", "", x) # leading punctuation
x <- sub("[[:punct:]]*$", "", x) # trailing punctuation
x <- gsub("\\.+", "_", x) # replace 1 or more dots with underscore
non_codes <- nchar(x) > 2 # for colnames with nchar > 2, convert to lower case
x[non_codes] <- tolower(x[non_codes])
x <- sub("authors", "author", x) # remove plural authors
x <- make.unique(x, sep = "_")
x <- gsub(" ", "_", x)
return(x)
}
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