plot_wave.multiple.regression: Auxiliary routine for plotting wave multiple regressions

Description Usage Arguments Details Value Author(s) References

Description

Produces a plot of wave multiple regressions.

Usage

1

Arguments

Lst

A list from wave.multiple.regression.

nsig

An optional value for the number of significant variables to plot_ Default is 2.

Details

The routine produces a plot of wave multiple regressions with their confidence interval. Also, the name of the variable that maximizes that multiple correlation against the rest is shown on top. The others are named with their order of significance when they are relevant.

Value

Plot.

Author(s)

Javier Fernández-Macho, Dpt. of Quantitative Methods, University of the Basque Country, Agirre Lehendakari etorb. 83, E48015 BILBAO, Spain. (email: javier.fernandezmacho at ehu.eus).

References

Fernández-Macho, J., 2018. Time-localized wavelet multiple regression and correlation, Physica A: Statistical Mechanics, vol. 490, p. 1226–1238. <DOI:10.1016/j.physa.2017.11.050>


wavemulcor documentation built on July 1, 2020, 5:10 p.m.