#' Calculate additional scores from the residue pair score
#'
#' @export
#'
#'
scores <- function(rps){
## Residue pairs residue score
count = 1
rprs <- matrix(NA, ncol = 3, nrow = max(rps[,1])*max(rps[,3]))
for(col in 1:max(rps[,1])){
for(row in 1:max(rps[,3])){
rprs[count,] <- c(col, row, mean(rps[rps[,1]==col &
((rps[,2]== row) | (rps[,3]== row)), 4], na.rm = TRUE))
count <- count + 1
# print(rprs)
}
}
## Residue pairs column score
rpcs <- matrix(NA, ncol = 2, nrow = max(rps[,1]))
for(col in 1:max(rps[,1])){
rpcs[col,] <- c(col, mean(rps[rps[,1]==col, 4], na.rm = T))
}
## Residue pairs sequence score
rpsc <- matrix(NA, ncol = 2, nrow = max(rprs[,2]))
for(row in 1:max(rprs[,2])){
rpsc[row,] <- c(row, mean(rprs[rprs[,2]==row, 3], na.rm = T))
}
res <- list(rprs, rpcs, rpsc)
return(res)
}
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