wt.sel.phases {WaveletComp} | R Documentation |
Plot phases for selected periodic components of a single time series
Description
This function plots the phases for selected periodic components of a time series,
which are provided by an object of class "analyze.wavelet"
, or alternatively of class
"analyze.coherency"
. (In the latter case, the series number or name must be specified.)
Periodic components can be selected by specification of a single Fourier period or of a period band. In the latter case, and in the default case (no specification at all), there is an option to average the phases across periods. Other options: restriction to the cone of influence, restriction to an area of significance (with respect to wavelet power).
(The time axis can be altered to give dates, see e.g. wt.image
.
In particular, an option is given to individualize the phase and/or time axis
by specifying tick marks and labels.)
Usage
wt.sel.phases(WT, my.series = 1,
sel.period = NULL, sel.lower = NULL, sel.upper = NULL,
only.coi = FALSE,
only.sig = TRUE, siglvl = 0.05,
show.avg.phase = FALSE, phase.avg.col = "black",
label.time.axis = TRUE,
show.date = FALSE, date.format = NULL, date.tz = NULL,
timelab = NULL, timetck = 0.02, timetcl = 0.5,
spec.time.axis = list(at = NULL, labels = TRUE,
las = 1, hadj = NA, padj = NA),
label.phase.axis = TRUE,
phaselab = NULL, phasetck = 0.02, phasetcl = 0.5,
spec.phase.axis = list(at = NULL, labels = TRUE,
las = 1, hadj = NA, padj = NA),
main = NULL, sub = NULL,
lwd = 1, lwd.axis = 1,
verbose = FALSE)
Arguments
WT |
an object of class |
my.series |
In case Default: |
sel.period |
a single number which determines the (closest available) Fourier period to be selected. Default: |
sel.lower |
a number to define a lower Fourier period (or the closest available) for the selection
of a band of periods (effective if Default: |
sel.upper |
a number to define an upper Fourier period (or the closest available) for the selection
of a band of periods (effective if Default: |
only.coi |
Exclude borders influenced by edge effects, i.e. include the cone of influence only? Logical. Default: |
only.sig |
Use wavelet power significance to decide about the inclusion of (parts of) the phases' series? Logical. Default: |
siglvl |
level of wavelet power significance. Default: |
show.avg.phase |
Show average phases over selected periods? (Effective only if a band of periods is selected.) Logical. Default: |
phase.avg.col |
color of line of phase averages. Default: "black". |
label.time.axis |
Label the time axis? Logical. Default: |
show.date |
Show calendar dates? (Effective only if dates are available as row names or by variable
Default: |
date.format |
the format of calendar date given as a character string, e.g. Default: |
date.tz |
a character string specifying the time zone of calendar date; see Default: |
timelab |
Time axis label. Default: |
timetck |
length of tick marks on the time axis as a fraction of the smaller of the width or height of the plotting region; see Default here: |
timetcl |
length of tick marks on the time axis as a fraction of the height of a line of text; see Default here: |
spec.time.axis |
a list of tick mark and label specifications for individualized time axis labeling
(only effective if
Mismatches will result in a reset to default plotting. |
label.phase.axis |
Label the phase axis? Logical. Default: |
phaselab |
Phase axis label. Default: |
phasetck |
length of tick marks on the phase axis as a fraction of the smaller of the width or height of the plotting region; see Default here: |
phasetcl |
length of tick marks on the phase axis as a fraction of the height of a line of text; see Default here: |
spec.phase.axis |
a list of tick mark and label specifications for individualized phase axis labeling
(only effective if
Mismatches will result in a reset to default plotting. |
main |
an overall title for the plot. Default: |
sub |
a subtitle for the plot. Default: |
lwd |
line width of phases. Default: |
lwd.axis |
line width of axes. Default: |
verbose |
Print verbose output on the screen? Logical. Default: |
Value
A list of class "sel.phases"
with the following elements:
Period |
the selected period (or period band) |
Phase |
time series of (average) phases at the selected period (or period band) |
only.coi |
Is the influence of edge effects excluded? I.e. is the cone of influence used only? |
only.sig |
Was wavelet power significance used in selection of phases? |
siglvl |
level of wavelet power significance |
date |
time series of calendar date (if available) |
date.format |
the format of calendar date (if available) |
date.tz |
the time zone of calendar date (if available) |
axis.1 |
tick levels corresponding to the time steps used for (cross-)wavelet transformation: |
Author(s)
Angi Roesch and Harald Schmidbauer
References
Aguiar-Conraria L., and Soares M.J., 2011. The Continuous Wavelet Transform: A Primer. NIPE Working Paper Series 16/2011.
Carmona R., Hwang W.-L., and Torresani B., 1998. Practical Time Frequency Analysis. Gabor and Wavelet Transforms with an Implementation in S. Academic Press, San Diego.
Cazelles B., Chavez M., Berteaux, D., Menard F., Vik J.O., Jenouvrier S., and Stenseth N.C., 2008. Wavelet analysis of ecological time series. Oecologia 156, 287–304.
Liu Y., Liang X.S., and Weisberg R.H., 2007. Rectification of the Bias in the Wavelet Power Spectrum. Journal of Atmospheric and Oceanic Technology 24, 2093–2102.
Torrence C., and Compo G.P., 1998. A practical guide to wavelet analysis. Bulletin of the American Meteorological Society 79 (1), 61–78.
See Also
analyze.wavelet
, wt.image
, wt.avg
, wt.phase.image
,
reconstruct
Examples
## Not run:
## The following example is adopted from Liu et al., 2007:
series.length <- 6*128*24
x1 <- periodic.series(start.period = 1*24, length = series.length)
x2 <- periodic.series(start.period = 8*24, length = series.length)
x3 <- periodic.series(start.period = 32*24, length = series.length)
x4 <- periodic.series(start.period = 128*24, length = series.length)
x <- x1 + x2 + x3 + x4
plot(x, type = "l", xlab = "index", ylab = "", xaxs = "i",
main = "hourly series with periods of 1, 8, 32, 128 days")
my.date <- seq(as.POSIXct("2014-10-14 00:00:00", format = "%F %T"),
by = "hour",
length.out = series.length)
my.data <- data.frame(date = my.date, x = x)
## Computation of wavelet power:
## a natural choice of 'dt' in the case of hourly data is 'dt = 1/24',
## resulting in one time unit equaling one day.
## This is also the time unit in which periods are measured.
my.wt <- analyze.wavelet(my.data, "x",
loess.span = 0,
dt = 1/24, dj = 1/20,
lowerPeriod = 1/4,
make.pval = TRUE, n.sim = 10)
## Plot of wavelet power spectrum with equidistant color breakpoints:
wt.image(my.wt, color.key = "i", main = "wavelet power spectrum",
legend.params = list(lab = "wavelet power levels (equidistant)"),
periodlab = "period (days)")
## Select period 8 and plot corresponding phases across time:
wt.sel.phases(my.wt, sel.period = 8)
## With time elapsed in days
## (starting from 0 and proceeding in steps of 50 days)
## instead of the (default) time index:
index.ticks <- seq(1, series.length, by = 50*24)
index.labels <- (index.ticks-1)/24
wt.sel.phases(my.wt, sel.period = 8,
timelab = "time elapsed (days)",
spec.time.axis = list(at = index.ticks, labels = index.labels))
## The same plot, but with (automatically produced) calendar axis:
wt.sel.phases(my.wt, sel.period = 8,
show.date = TRUE, date.format = "%F %T")
## For further axis plotting options:
## Please see the examples in our guide booklet,
## URL http://www.hs-stat.com/projects/WaveletComp/WaveletComp_guided_tour.pdf.
## In the following, no period is selected.
## By setting 'show.avg.phase = TRUE', the plot shows average phases
## instead of individual phases:
wt.sel.phases(my.wt, show.avg.phase = TRUE)
## End(Not run)