mg.evaluation {aws.wrfsmn}

Evaluation of regression

Description

Evaluation of the linear multiple regression obtained from the multiple.guidance function

Usage

mg.evaluation(
  input.data = input.data,
  predictand = predictand,
  predictors = predictors,
  var.model = var.model,
  lmodel = lmodel
)

Arguments

input.data

Data frame with first column as a "POSIXct" class and one or more columns with data values. The predictand and predictors variables should be located in these columns

predictand

Character with column name of the predictand variable

predictors

Character array with one or more elements of the predictors chosen by the user

var.model

Character with column name of the modeled predicting variable

lmodel

Element of class lm obtained from multiple.guidance output function

Value

List of two elements. First element is a matrix with the columns of observed data, modeled data and corrected data. Second element is a data frame of the statistical results of the modeled and corrected data versus observed data