fscaret (version 0.8.5.1)

MSE: MSE

Description

Function calculates mean squared error as predicted vs. observed

Usage

MSE(vect1, vect2, rows_no)

Arguments

vect1

Numeric vector of predicted values

vect2

Numeric vector of observed values

rows_no

Number of observations

Examples

## The function is currently defined as
function (vect1, vect2, rows_no) 
{
    result = 0
    pred <- 0
    obs <- 0
    for (i in 1:rows_no) {
        result <- result + (vect1[i] - vect2[i])^2
    }
    result <- (result/rows_no)
    return(result)
  }