#' Evaluate the forecast result.
#'
#' This function evaluates the forecast result in several evaluation criterions.
#'
#' @param rv real value of traffic flow, a row from a dataframe;
#' @param pv forecast value, can be the return value of flow_knn function,
#' a row from a dataframe;
#' @param method can be "mse", "rmse", "mae" or "all"
#' @export
flow_evaluate <- function(rv,pv,method="all"){
n <- length(rv)
z <- rv-pv
mse <- 1/n*sum(z^2)
rmse <- sqrt(1/n*sum(z^2))
mae <- 1/n*sum(abs(z))
imse <- 1/n*sum(ifelse(z>0,1.5,0.5)*z^2)
if(method == "all"){
result <- data.frame(mse,rmse,mae,imse)
} else if(method == "mse"){
result <- mse
} else if(method == "rmse"){
result <- rmse
} else if(method == "mae"){
result <- mae
}
return(result)
}
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