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monitoR (version 1.0.3)

plot-methods: Methods for the plot Function

Description

Plotting acoustic templates and template scores

Usage

## S3 method for class 'TemplateList,ANY':
plot(x, which.one=names(x@templates), click=FALSE, 
ask=if(length(which.one)>1) TRUE else FALSE, spec.col=gray.3(), on.col='#FFA50075', 
off.col='#0000FF75', pt.col='#FFA50075', line.col='black')

## S3 method for class 'detectionList,ANY': plot(x, flim=c(0, 12), scorelim, which.one=names(x@templates), box=TRUE, spec.col=gray.2(), t.each=30, hit.marker='lines', color=c('red', 'blue', 'green', 'orange', 'purple', 'pink', 'darkgreen', 'turquoise', 'royalblue', 'orchid4', 'brown', 'salmon2'), legend=TRUE, all.peaks=FALSE, ask=if(dev.list()==2) TRUE else FALSE)

Arguments

x
A template list (TemplateList object) or detection list (detectionList object).
which.one
Names of templates to be plotted.
click
Set to TRUE to see values of locations on plot by mouse clicks.
ask
Set to FALSE to eliminate pause between plots.
spec.col
Color ramp for spectrogram.
on.col
Color for ``on'' points (binary templates only).
off.col
Color for ``off'' points (binary templates only).
pt.col
Color for template points (correlation templates only).
line.col
Color for lines if click = TRUE.
flim
Frequency limits for plot.
scorelim
Score limits for plot.
box
If TRUE boxes are plotted in spectrogram for each detection.
t.each
Duration shown in each individual plot (s).
hit.marker
Type of marker used to show detections in score plot. Can be "lines" or "points".
color
Colors used for individual templates.
legend
Show legend?
all.peaks
Indicate location of all peaks?

See Also

makeCorTemplate, makeBinTemplate

Examples

Run this code
# Not run because of the time required (maybe 5-10 seconds)
# Also some plot calls require user input by default
# Load data
data(btnw)
data(survey)

# Write Wave objects to file (temporary directory used here)
btnw.fp<-file.path(tempdir(),"btnw.wav")
oven.fp<-file.path(tempdir(),"oven.wav")
survey.fp<-file.path(tempdir(),"survey2010-12-31_120000_EST.wav")
writeWave(btnw, btnw.fp)
writeWave(survey, survey.fp)

# Create a template list
ctemp1<-makeCorTemplate(btnw.fp, name="w1")
ctemp2<-makeCorTemplate(btnw.fp, t.lim=c(0.5, 2.5), frq.lim=c(1, 10), dens=0.1, name="w2")
ctemps<-combineCorTemplates(ctemp1, ctemp2)

# Then it can be plotted like this
plot(ctemps)

# Next call is not useful for template w1 but good for w2:
plot(ctemps, pt.col="red")

# Can plot just one template
plot(ctemps, which.one=2, pt.col="red")
plot(ctemps, which.one="w2", pt.col="red")

# And to check values
plot(ctemps, which.one=1, click=TRUE)

# To plot detections, let's create some
cscores<-corMatch(survey.fp, ctemps)
cdetects<-findPeaks(cscores)

# And to plot them:
plot(cdetects)

# Clean up (only because these files were created in these examples)
file.remove(btnw.fp)
file.remove(survey.fp)

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