#' @import stringdist
#' @import NameNeedle
NULL
#' Calculate distance
#'
#' @param annot A data.frame object containing sample annotation values
#' @param method String similarity measure to be used. One of ("jw", "jaro",
#' "sw1", "sw2", "nw1", "nw2", "nw3", "me", "lv", "dl", "osa",
#' "lcs", "qgram", "cosine", "jaccard")
#' @param col The column to be used to infer classes from. Default method "combine"
#' attempts to combine all columns for class inferral.
#' @param ... Additional arguments to the distance functions
#' @export
calculate_distance <- function(annot, method, col, ...){
if(method == "sw"){
sdm <- sw_matrix(annot[, col], annot[, col])
}else if(method == "me"){
sdm <- monge_elkan_matrix(annot[, col], annot[, col])
}else if (method == "nw"){
sdm <- nw_matrix(annot[, col], annot[, col], ...)
}else if(method == "jw"){
sdm <- stringdist::stringdistmatrix(annot[, col], annot[, col], method=method, p=0.1)
}else if(method == "jaro"){
sdm <- stringdist::stringdistmatrix(annot[, col], annot[, col], method="jw", p=0)
}else{
sdm <- stringdist::stringdistmatrix(annot[, col], annot[, col], method=method)
}
return(sdm)
}
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