fbands(spec, f = NULL, bands = 10, width = FALSE, plot = TRUE,
xlab = "Frequency (kHz)", ylab = "Relative amplitude", ...)
bands
. There are two options:bands
. For instance, settingbands
to a value
of 10 will slice the spectrum in 10 equal parts and return 10 local
peaks.bands
. The limits can follow a regular or
irregular series. For instance attributing the vector c(0,2,4,8) will
generate the following bands [0,2[, [2,4[, [4,8] kHz. Be aware that
the last value should not exceed half the sampling frequency used to
obtain the spectrumspec
.barplot
.meanspec
, spec
, barplot
.data(sheep)
spec <- meanspec(sheep, f=8000, plot=FALSE)
# default plot
fbands(spec)
# setting a specific number of bands
fbands(spec, bands=6)
#setting specific regular bands limits
fbands(spec, bands=seq(0,4,by=0.25))
# some plot tuning
op <- par(las=1)
fbands(spec, bands=seq(0,4,by=0.1),
horiz=TRUE, col=heat.colors(41),
xlab="", ylab="",
cex.axis=0.75, cex.names = 0.75,
axes=FALSE)
par(op)
# showing or not the width of the bands
oct <- octaves(440,3)/1000
op <- par(mfrow=c(2,1))
fbands(spec, bands=oct, col="blue")
fbands(spec, bands=oct, width = TRUE, col="red")
par(op)
# kind of horizontal zoom
op <- par(mfrow=c(2,1))
fbands(spec, bands=seq(0,4,by=0.2), col=c(rep(1,10),
rep("orange",5),rep(1,5)), main="all frequency range")
fbands(spec, bands=seq(2,3,by=0.2),
col="orange", main="a subset or zoom in")
par(op)
# kind of dynamic frequency bands
specs <- dynspec(sheep, f=8000, plot= FALSE)$amp
out <- apply(specs, f=8000, MARGIN=2,
FUN = fbands, bands = seq(0,4,by=0.2),
col = 1, ylim=c(0,max(specs)))
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