2D-spectrogram of a time wave using ggplot2
This function returns a ggplot object to draw a spectrogram
with the package ggplot2. This is an alternative to spectro.
ggspectro(wave, f, tlab = "Time (s)", flab = "Frequency (kHz)", alab = "Amplitude\n(dB)\n", ...)
wave |
an R object. |
f |
sampling frequency of |
tlab |
label of the time axis. |
flab |
label of the frequency axis. |
alab |
label of the amplitude axis. |
... |
other non-graphical arguments to be passed to spectro
( |
This function return the fist layer (data and aesthetic
mapping) of a ggplot2 plot.
See the example section to understand how to build a spectrogram and consult ggplot2 help to get what you
exactly need.
There is no way to plot the oscillogram as spectro does.
A ggpot layer.
This function requires ggplot2 package.
Jerome Sueur
Wickham H (2009) – ggplot2: elegant graphics for data analysis. UseR! Springer.
## Not run: require(ggplot2) ## first layer v <- ggspectro(tico, ovlp=50) summary(v) ## using geom_tile ## v + geom_tile(aes(fill = amplitude)) + stat_contour() ## coordinates flip (interest?) v + geom_tile(aes(fill = amplitude)) + stat_contour() + coord_flip() ## using stat_contour ## # default (not nice at all) v + stat_contour(geom="polygon", aes(fill=..level..)) # set up to 30 color levels with the argument bins (vv <- v + stat_contour(geom="polygon", aes(fill=..level..), bins=30)) # change the limits of amplitude and NA values as transparent vv + scale_fill_continuous(name="Amplitude\n(dB)\n", limits=c(-30,0), na.value="transparent") # Black-and-white theme (vv + scale_fill_continuous(name="Amplitude\n(dB)\n", limits=c(-30,0), na.value="transparent", low="white", high="black") + theme_bw()) # Other colour scale (close to spectro() default output) v + stat_contour(geom="polygon", aes(fill=..level..), bins=30) + scale_fill_gradientn(name="Amplitude\n(dB)\n", limits=c(-30,0), na.value="transparent", colours = spectro.colors(30)) ## End(Not run)
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