# Load data
data(btnw)
data(oven)
# Write Wave objects to file (temporary directory used here)
btnw.fp<-file.path(tempdir(),"btnw.wav")
oven.fp<-file.path(tempdir(),"oven.wav")
writeWave(btnw, btnw.fp)
writeWave(oven, oven.fp)
# Correlation example
# Create one correlation templates
wct1<-makeCorTemplate(btnw.fp, name="w1")
wct2<-makeCorTemplate(btnw.fp, t.lim=c(1.5, 2.1), frq.lim=c(4.2, 5.6), name="w2")
oct1<-makeCorTemplate(oven.fp, t.lim=c(1, 4), frq.lim=c(1, 11), name="o1")
oct2<-makeCorTemplate(oven.fp, t.lim=c(1, 4), frq.lim=c(1, 11), dens=0.1, name="o2")
# Combine all of them
ctemps<-combineCorTemplates(wct1, wct2, oct1, oct2)
# Write ctemps to a directory "templates"
writeCorTemplates(ctemps, dir="templates")
# Read in all correlation templates in a directory "templates"
ctemps<-readCorTemplates(dir="templates")
# Read in two specific files
ctemps<-readCorTemplates(files=c("o1.ct", "o2.ct"), dir="templates")
# Read in two specific files, and give them names
ctemps<-readCorTemplates(files=c(oven1="o1.ct", oven2="o2.ct"), dir="templates")
# Clean up (only because these files were created in these examples)
file.remove(btnw.fp)
file.remove(oven.fp)Run the code above in your browser using DataLab