sewTrends: Tuning systemic trends

Description Usage Arguments Details Examples

View source: R/yieldPrev.R

Description

If yield experience a trend the models don't grasp you have to remove it to get the right lm. But some part of it may, anyway get explained by the models... Here is the sewing it provides graphs to understand if at least part of the trend you find with checkTrends() is external to simulated parameters. Prompts interactively for the choice of the best parameters describing the trend in the time lapse you selected (from inizio to fine). It also plot a graph with the parameters and yields "normalized" so that matching the trends is easier. Normalization happens around the mean each parameter given in percentage.

Usage

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#breakTrends() call this
sewTrends(inizio, fine)

Arguments

inizio

is the lower year (included) of the trended lapse

fine

is the upper year (included) of the trended lapse

Details

checkTrends() call include both "inizio" and "fine",

Examples

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#Designed to be called by breakTrends() (which itself is called by checkTrends())

FoscoV/foreYield documentation built on June 20, 2021, 7:17 p.m.