#' species-level metrics
#'
#' different functions with the same structure, metric is in function name
#'
#' @param A interaction matrix
#' @param sp.names which sp to calculate, must be in names of A
#'
#' @return dataframe
#' @export
intraguild_in_strength <- function(A, sp.names){
result <- data.frame(sp = rownames(A),
value = NA_real_,
stringsAsFactors = FALSE)
plant.pos <- which(rownames(A) %in% sp.names[[1]]$plants)
fv.pos <- which(rownames(A) %in% sp.names[[1]]$floral.visitors)
herb.pos <- which(rownames(A) %in% sp.names[[1]]$herbivores)
for(i.sp in 1:nrow(A)){
if(result$sp[i.sp] %in% sp.names[[1]]$plants){
result$value[i.sp] <- sum(A[i.sp,plant.pos]) - A[i.sp,i.sp]
}else if(result$sp[i.sp] %in% sp.names[[1]]$herbivores){
result$value[i.sp] <- sum(A[i.sp,herb.pos]) - A[i.sp,i.sp]
}else if(result$sp[i.sp] %in% sp.names[[1]]$floral.visitors){
result$value[i.sp] <- sum(A[i.sp,fv.pos]) - A[i.sp,i.sp]
}
}# for i.sp
return(result)
}
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