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)Run the code above in your browser using DataLab