NEWS | R Documentation |

Improved the implementation of

`phase.plot`

to allow for much better looking phase arrows (thanks Huidong Tang).

Made function

`wt`

faster by avoiding excessive padding (thanks Huidong Tang).

Made

`check.datum`

tolerate slight inconsistencies in the size of timesteps.

Added arguments in

`plot.biwavelet`

and`phase.plot`

to control the length of the phase arrows and the size of the arrow heads independently.

Fixed code in

`check.data`

to test for constant step size in the data.

Function

`pwtc`

can be used to perform partial wavelet coherence between two time series`y`

and`x1`

by controlling for (or partialling-out) a third time series`x2`

.

Users can now specify the density of the phase arrows using the

`plot`

function.

Fixed bug in

`wt`

affecting the significance region (thanks Patrick Kilduff and Flora Cordoleani).

Users can now specify the color, line width and line type for the COI, significance contours and phase arrows using the

`plot`

function.

Removed misleading examples showing how to compute the 'bias-corrected' wavelet coherence. There is no bias for the wavelet coherence function, so using the default

`type`

argument in the`plot`

function is recommended.Fixed typos in the documentation of plot.biwavelet and xwt (thanks Lei Cheng).

As of biwavelet version 0.14, the bias-corrected wavelet and cross-wavelet spectra are automatically computed and plotted by default using the methods described by Liu et al. (2007) and Veleda et al. (2012). This correction is needed because the traditional approach for computing the power spectrum (e.g., Torrence and Compo 1998) leads to an artificial and systematic reduction in power at lower periods.

Plotting function now accepts traditional plotting flags such as xaxt and yaxt to control x and y tickmarks.