This function tests the similarity between two time wave envelopes by returning their maximal correlation and the time shift related to it.
corenv(wave1, wave2, f, channel=c(1,1), envt="hil", msmooth = NULL, ksmooth = NULL,
ssmooth = 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, ...)
If plot
is FALSE
, corenv
returns a list containing four
components:
a two-column matrix, the first colum corresponding to the time
shift (frequency x-axis) and the second column corresponding to the successive
r correlation values between env1
and env2
(correlation y-axis).
the maximum correlation value between x
and y
.
the p value corresponding to rmax
.
the time offset corresponding to rmax
.
a first R object.
a second R object.
sampling frequency of wave
(in Hz). Does not need to be specified if embedded in wave
.
channel of the R objects, by default left channel (1) for each object.
the type of envelope to be used: either "abs" for absolute
amplitude envelope or "hil" for Hilbert amplitude envelope. See env
.
a vector of length 2 to smooth the amplitude envelope with a
mean sliding window. The first component is the window length
(in number of points). The second component is the overlap between
successive windows (in %). See env
.
kernel smooth via kernel
. See env
.
sum smooth. See env
.
logical, if TRUE
plots r values against frequency shift
(by default TRUE
).
logical, if TRUE
adds to the plot maximum r value
and frequency offset (by default TRUE
).
a character string indicating which correlation coefficient is
to be computed ("pearson", "spearman", or "kendall")
(see cor
).
colour of r values.
colour of r max and frequency offset values.
character size of r max and frequency offset values.
font of r max and frequency offset values.
title of the frequency axis.
title of the r axis.
if plot
is TRUE
, type of plot that should be drawn.
See plot
for details (by default "l" for lines).
if TRUE
returns a text progress bar in the console.
other plot
graphical parameters.
Jerome Sueur
Successive correlations between the envelopes of 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.
if (FALSE) {
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