doIfreq: Create indices that are sampled at various frequencies

In Blue-Matter/MSEtool: Management Strategy Evaluation Toolkit

Create indices that are sampled at various frequencies

Description

Given an index (historical period and projected period) this function creates sparsity in the projected index to simulate varying frequency (intensity) of data collection.

Usage

doIfreq(I_hist, I_freq, LHYr, CurYr, Year)

Arguments

I_hist	Vector of real numbers, concatinated observed (historical) and simulated (projected) indices.
I_freq	Positive integer. The frequency of index sampling (e.g. 1 is every year, 2 is every 2 years - a gap every 2 years in the projected, simulated data).
LHYr	Positive integer, a year (e.g. 2023), the last historical year, demarks the historical period where observations have been collected from the projected period where sparsity is to be simulated.
CurYr	Positive integer, a year (e.g. 2043), the most recent year of the simulation.
Year	Vector of positive integers (as long as I_hist), the years corresponding with I_hist.

Value

A thinned ector I_hist long of index observations.

Author(s)

T. Carruthers

Blue-Matter/MSEtool documentation built on Nov. 22, 2024, 8:23 p.m.