Data Mining Algorithms In R/Packages/CCMtools/DI

From Wikibooks, open books for an open world
Jump to navigation Jump to search

Description[edit | edit source]

This function calculates the Daily Intensity (DI) cost function for precipitation. This error is supposed to be due to a misclassification (i.e., the elements should be classified according to sequence cl.check, while they are in practice allocated to the clusters according to the sequence cl.proj).

Usage[edit | edit source]

DI(cl.calibration, cl.check, cl.proj, DataS.Calibration, DataS.check)

Arguments[edit | edit source]

  • cl.calibration Sequence of clusters for time period 1 (TP1)
  • cl.check Reference sequence (i.e., numerical vector) of clusters (i.e., this is the sequence we should have) for time period 2 (TP2).
  • cl.proj Sequence of clusters in practice for TP2.
  • DataS.Calibration Precipitation data time series for TP1.
  • DataS.check Precipitation data time series for TP2.

Details[edit | edit source]

For details about these cost functions, see the reference below. M. Vrac, P. Yiou. "Weather regimes designed for local precipitation modelling: Application to the Mediterranean bassin". Submitted, JGR-A, 2009

Value[edit | edit source]

Returns a list with arguments:

  • DI Daily Intensity (DI) error costs, depending on station s and day d.
  • MDI Means DI costs, depending on station s.
  • RMDI Regional MDI providing a global (spatial and temporal) view of the DI error

cost.

Author[edit | edit source]

M. Vrac (mathieu.vrac@lsce.ipsl.fr))

See Also[edit | edit source]

  1. WGP
Retrieved from "https://en.wikibooks.org/w/index.php?title=Data_Mining_Algorithms_In_R/Packages/CCMtools/DI&oldid=1980840"