corenv(wave1, wave2, f, envt="hil", msmooth = NULL, ksmooth = NULL,
plot = TRUE, plotval = TRUE,
method = "spearman", col = "black", colval = "red",
cexval = 1, fontval = 1, xlab = "Time (s)",
ylab = "Coefficient of correlation (r)", type = "l", pb = FALSE, ...)
wave
(in Hz). Does not need to be specified if embedded in wave
.env
.
TRUE
plots r values against frequency shift
(by default TRUE
).TRUE
adds to the plot maximum r value
and frequency offset (by default TRUE
).cor
).plot
is TRUE
, type of plot that should be drawn.
See plot
for details (by default "l" for lines).TRUE
returns a text progress bar in the console.plot
graphical parameters.plot
is FALSE
, corenv
returns a list containing four
components:env1
and env2
(correlation y-axis).x
and y
.rmax
.rmax
.wave1
and wave2
are computed when regularly sliding forward and backward wave2
along
wave1
.
The maximal correlation is obtained at a particular shift (time offset).
This shift may be positive or negative.
The higher smooth
is set up,
the faster will be the computation but less precise the results will be.
The corresponding p value, obtained with cor.test
, is plotted.
Inverting wave1
and wave2
may give slight different results.env
,corspec
,covspectro
,
cor
,cor.test
.data(orni)
# cross-correlation between two echemes of a cicada song
wave1<-cutw(orni,f=22050,from=0.3,to=0.4,plot=FALSE)
wave2<-cutw(orni,f=22050,from=0.58,to=0.68,plot=FALSE)
corenv(wave1,wave2,f=22050)
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