magclass (version 5.24.7)

calibrate_it: calibrate_it

Description

Standardized functions to calibrate values to a certain baseyear.

Usage

calibrate_it(
  origin,
  cal_to,
  cal_type = "convergence",
  cal_year = NULL,
  end_year = NULL,
  report_calibration_factors = FALSE
)

Arguments

origin

Original Values (MAgPIE object)

cal_to

Values to calibrate to (MAgPIE object).

cal_type

"none" leaves the values as they are, "convergence" starts from the aim values and then linearily converges towards the values of origin, "growth_rate" uses the growth-rates of origin and applies them on aim.

cal_year

year on which the dataset should be calibrated.

end_year

only for cal_type="convergence". Year in which the calibration shall be faded out.

report_calibration_factors

prints out the multipliers which are used for calibration.

Value

Calibrated dataset.

See Also

convergence,lin.convergence

Examples

# NOT RUN {
  pop <- maxample("pop")
  test<-as.magpie(array(1000,dim(pop[,,"A2"]),dimnames(pop[,,"A2"])))
  calibrate_it(origin=pop,cal_to=test[,"y1995",],cal_type="growth_rate")
  calibrate_it(origin=pop,cal_to=test[,"y1995",],cal_type="convergence", 
               cal_year="y1995", end_year="y2055")
  calibrate_it(origin=pop,cal_to=test[,"y1995",],cal_type="none")

# }