eval_metrics: Evaluation RMSE for True and Prediction Data
In WeakCha/BIOSTAT625_HW4: Linear Regression

Description Usage Arguments Value Author(s) Examples

View source: R/LinearRegression.R

Compute the RMSE for a given true and prediction data.

1	eval_metrics(true, predictions)

`true`	`true` is the vector of true values.
`predictions`	`predictions` is the vector of prediction values.

A scalar RMSE

Li (Richard) Liu

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function (true, predictions)
{
    resids = true - predictions
    resids2 = resids^2
    N = length(predictions)
    RMSE = round(sqrt(sum(resids2)/N), 2)
    return(RMSE)
  }