heatmap_wave.local.multiple.cross.correlation {wavemulcor} | R Documentation |
Auxiliary routine for heatmaping wave local multiple cross-correlations
Description
Produces heatmaps of wave local multiple cross-correlations.
Usage
heatmap_wave.local.multiple.cross.correlation(Lst, lmax,
lag.first=FALSE, xaxt="s", ci=NULL, pdf.write=NULL)
Arguments
Lst |
A list from wave.local.multiple.cross.regression. |
lmax |
maximum lag (and lead). |
lag.first |
if TRUE, it produces lag-lead pages with |
xaxt |
An optional vector of labels for the "x" axis. Default is 1:n. |
ci |
value to plot: "center" value of confidence interval (i.e. the estimated cross-correlation), the "lower" bound, or the "upper" bound. Default is "center". |
pdf.write |
Optional name leader to save files to pdf format. The actual name of the file is either "heat_<pdf.write>_WLMCC_lags.pdf" or, "heat_<pdf.write>_WLMCC_levels.pdf". |
Details
The routine produces a set of time series vs. wavelet periods heatmaps of wave local multiple cross-correlations at different lags and leads.
Value
Heat map.
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>