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fix Check error for piped column level
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# ggSpec: helper function to create ggplot spectrogram of wave file | ||
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ggSpec<-function(wav,soundFile,segLens,savePNG,specWidth,specHeight,destFolder,ovlp,wl,wn,yLim,xLim,colPal,colbins,ampTrans,plotLegend,onlyPlotSpec,isViridis,bg,fontAndAxisCol,min_dB,bgFlood,optim,timeAdj,...) | ||
{ | ||
if(missing(segLens)){nSegs=1}else{ | ||
nSegs=length(segLens)-1 | ||
} | ||
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# bg="#ebe834" | ||
#Font color adapted from https://stackoverflow.com/questions/3942878/how-to-decide-font-color-in-white-or-black-depending-on-background-color | ||
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if(is.null(fontAndAxisCol)){ | ||
autoFontCol=TRUE | ||
bgRGB<-grDevices::col2rgb(bg) | ||
fontAndAxisCol<-if (bgRGB["red",1]*0.299 + bgRGB["green",1]*0.587 + bgRGB["blue",1]*0.114 > 149){"#000000"}else{"#ffffff"} | ||
}else{autoFontCol=FALSE} | ||
#For testing font contrast against bg | ||
# par(bg=bg) | ||
# plot(1,1,col="transparent") | ||
# text(1,1,"READABLE?",cex=5,col=contrastFont) | ||
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#Modified from seewave::ggspectro | ||
#---> | ||
# norm =FALSE is important for having similar gain across different recordings | ||
# spectrogram<-seewave::spectro(wav,plot=FALSE,ovlp=ovlp,wl=wl,wn=wn,norm=FALSE) | ||
#normalize(wav,center=FALSE,pcm=TRUE) | ||
spectrogram<-seewave::spectro(wav,plot=FALSE,ovlp=ovlp,wl=wl,wn=wn,...) | ||
freq <- rep(spectrogram$freq, times = ncol(spectrogram$amp)) | ||
time <- rep(spectrogram$time, each = nrow(spectrogram$amp)) | ||
amplitude <- as.vector(spectrogram$amp) | ||
#<-------- | ||
df <- data.frame(time,freq,amplitude) | ||
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#experimental code to simplify the tibble for generating spec data | ||
if(!is.null(optim)){ | ||
#nothing here yet | ||
} | ||
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##### | ||
#Plot spec for every segment, saving specs as list for output | ||
Glist<-list() | ||
for (i in 1:(nSegs)){ | ||
ggSpec <- | ||
function(wav, | ||
soundFile, | ||
segLens, | ||
savePNG, | ||
specWidth, | ||
specHeight, | ||
destFolder, | ||
ovlp, | ||
wl, | ||
wn, | ||
yLim, | ||
xLim, | ||
colPal, | ||
colbins, | ||
ampTrans, | ||
plotLegend, | ||
onlyPlotSpec, | ||
isViridis, | ||
bg, | ||
fontAndAxisCol, | ||
min_dB, | ||
bgFlood, | ||
optim, | ||
timeAdj, | ||
...) | ||
{ | ||
if (missing(segLens)) { | ||
nSegs = 1 | ||
} else{ | ||
nSegs = length(segLens) - 1 | ||
} | ||
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# bg="#ebe834" | ||
#Font color adapted from https://stackoverflow.com/questions/3942878/how-to-decide-font-color-in-white-or-black-depending-on-background-color | ||
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if (is.null(fontAndAxisCol)) { | ||
autoFontCol = TRUE | ||
bgRGB <- grDevices::col2rgb(bg) | ||
fontAndAxisCol <- | ||
if (bgRGB["red", 1] * 0.299 + bgRGB["green", 1] * 0.587 + bgRGB["blue", 1] * | ||
0.114 > 149) { | ||
"#000000" | ||
} else{ | ||
"#ffffff" | ||
} | ||
} else{ | ||
autoFontCol = FALSE | ||
} | ||
#For testing font contrast against bg | ||
# par(bg=bg) | ||
# plot(1,1,col="transparent") | ||
# text(1,1,"READABLE?",cex=5,col=contrastFont) | ||
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#subset df for segments | ||
if(nSegs>1){ | ||
if(i==1){ | ||
cat("\nSpectrogram ggplots of segmented WAVs being generated\n") | ||
} | ||
if(i==nSegs){ | ||
df_i <- subset(df,time>=segLens[i]&time<=segLens[i+1]) #last segment is inclusive on left & right bounds | ||
}else{ | ||
df_i<-subset(df,time>=segLens[i]&time<segLens[i+1]) #all other segs inclusive on left | ||
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#Modified from seewave::ggspectro | ||
#---> | ||
# norm =FALSE is important for having similar gain across different recordings | ||
# spectrogram<-seewave::spectro(wav,plot=FALSE,ovlp=ovlp,wl=wl,wn=wn,norm=FALSE) | ||
#normalize(wav,center=FALSE,pcm=TRUE) | ||
spectrogram <- | ||
seewave::spectro( | ||
wav, | ||
plot = FALSE, | ||
ovlp = ovlp, | ||
wl = wl, | ||
wn = wn, | ||
... | ||
) | ||
freq <- rep(spectrogram$freq, times = ncol(spectrogram$amp)) | ||
time <- rep(spectrogram$time, each = nrow(spectrogram$amp)) | ||
amplitude <- as.vector(spectrogram$amp) | ||
#<-------- | ||
df <- data.frame(time, freq, amplitude) | ||
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#experimental code to simplify the tibble for generating spec data | ||
if (!is.null(optim)) { | ||
#nothing here yet | ||
} | ||
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##### | ||
#Plot spec for every segment, saving specs as list for output | ||
Glist <- list() | ||
for (i in 1:(nSegs)) { | ||
#subset df for segments | ||
if (nSegs > 1) { | ||
if (i == 1) { | ||
cat("\nSpectrogram ggplots of segmented WAVs being generated\n") | ||
} | ||
if (i == nSegs) { | ||
df_i <- | ||
subset(df, time >= segLens[i] & | ||
time <= segLens[i + 1]) #last segment is inclusive on left & right bounds | ||
} else{ | ||
df_i <- | ||
subset(df, time >= segLens[i] & | ||
time < segLens[i + 1]) #all other segs inclusive on left | ||
} | ||
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} else{ | ||
df_i = df | ||
} | ||
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}else{df_i=df} | ||
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#Plot that thang | ||
Glist[[i]]<-ggplot2::ggplot(df_i,ggplot2::aes(x=time,y=freq,z=amplitude))+ggplot2::xlim(segLens[i],segLens[i+1])+ggplot2::ylim(yLim)+ | ||
#Labels | ||
ggplot2::labs(x="Time (s)",y="Frequency (kHz)",fill="Amplitude\n(dB)\n")+{ | ||
#Set scale according to viridis or custom color scheme | ||
if(isViridis){viridis::scale_fill_viridis(limits=c(min_dB,0),na.value="transparent",option=colPal,trans=scales::modulus_trans(p=ampTrans))}else{ | ||
ggplot2::scale_fill_gradient(limits=c(min_dB,0),na.value="transparent",low=colPal[1],high=colPal[2],trans=scales::modulus_trans(p=ampTrans))} | ||
}+ | ||
#Make contours | ||
ggplot2::stat_contour(geom="polygon",ggplot2::aes(fill=ggplot2::after_stat(level)),bins=colbins,na.rm=TRUE)+ | ||
#Set base theme | ||
mytheme(bg)+{ | ||
#If user supplied fontAndAxisCol, change those settings (regardless of whether bg is flooded or not) | ||
if(!autoFontCol){ | ||
ggplot2::theme(axis.text=ggplot2::element_text(colour=fontAndAxisCol),text=ggplot2::element_text(colour=fontAndAxisCol),axis.line = ggplot2::element_line(colour=fontAndAxisCol),axis.ticks=ggplot2::element_line(colour=fontAndAxisCol)) | ||
}else{} | ||
}+{ | ||
#get rid of axes & legend if requested | ||
if(onlyPlotSpec){ggplot2::theme_void()+ ggplot2::theme(plot.background=ggplot2::element_rect(fill=bg),text=ggplot2::element_text(colour=fontAndAxisCol)) | ||
}else{ | ||
#For cases where axes are plotted | ||
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level=NULL #just to shut up the check | ||
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#Plot that thang | ||
# # | ||
Glist[[i]] <- | ||
ggplot2::ggplot(df_i, ggplot2::aes(x = time, y = freq, z = amplitude)) + | ||
ggplot2::xlim(segLens[i], segLens[i + 1]) + ggplot2::ylim(yLim) + | ||
#Labels | ||
ggplot2::labs(x = "Time (s)", y = "Frequency (kHz)", fill = "Amplitude\n(dB)\n") + | ||
{ | ||
#Set scale according to viridis or custom color scheme | ||
if (isViridis) { | ||
viridis::scale_fill_viridis( | ||
limits = c(min_dB, 0), | ||
na.value = "transparent", | ||
option = colPal, | ||
trans = scales::modulus_trans(p = ampTrans) | ||
) | ||
} else{ | ||
ggplot2::scale_fill_gradient( | ||
limits = c(min_dB, 0), | ||
na.value = "transparent", | ||
low = colPal[1], | ||
high = colPal[2], | ||
trans = scales::modulus_trans(p = ampTrans) | ||
) | ||
} | ||
} + | ||
#Make contours | ||
ggplot2::stat_contour( | ||
geom = "polygon", | ||
ggplot2::aes(fill = ggplot2::after_stat(level)), | ||
bins = colbins, | ||
na.rm = TRUE | ||
) + | ||
#Set base theme | ||
mytheme(bg) + { | ||
#If user supplied fontAndAxisCol, change those settings (regardless of whether bg is flooded or not) | ||
if (!autoFontCol) { | ||
ggplot2::theme( | ||
axis.text = ggplot2::element_text(colour = fontAndAxisCol), | ||
text = ggplot2::element_text(colour = fontAndAxisCol), | ||
axis.line = ggplot2::element_line(colour = fontAndAxisCol), | ||
axis.ticks = ggplot2::element_line(colour = fontAndAxisCol) | ||
) | ||
} else{ | ||
} | ||
} + { | ||
#get rid of axes & legend if requested | ||
if (onlyPlotSpec) { | ||
ggplot2::theme_void() + ggplot2::theme( | ||
plot.background = ggplot2::element_rect(fill = bg), | ||
text = ggplot2::element_text(colour = fontAndAxisCol) | ||
) | ||
} else{ | ||
#For cases where axes are plotted | ||
# if axes to be plotted, flood panel bg color over axis area? | ||
if(bgFlood){ggplot2::theme(plot.background=ggplot2::element_rect(fill=bg),axis.text=ggplot2::element_text(colour=fontAndAxisCol),text=ggplot2::element_text(colour=fontAndAxisCol),axis.line = ggplot2::element_line(colour=fontAndAxisCol),axis.ticks=ggplot2::element_line(colour=fontAndAxisCol),legend.background=ggplot2::element_rect(fill=bg))}else{} | ||
if (bgFlood) { | ||
ggplot2::theme( | ||
plot.background = ggplot2::element_rect(fill = bg), | ||
axis.text = ggplot2::element_text(colour = fontAndAxisCol), | ||
text = ggplot2::element_text(colour = fontAndAxisCol), | ||
axis.line = ggplot2::element_line(colour = fontAndAxisCol), | ||
axis.ticks = ggplot2::element_line(colour = fontAndAxisCol), | ||
legend.background = ggplot2::element_rect(fill = bg) | ||
) | ||
} else{ | ||
} | ||
}+{ | ||
#Get rid of plotLegend if requested | ||
if(!plotLegend){ggplot2::theme(legend.position = "none")}else{ggplot2::theme(legend.position = "right")} | ||
} | ||
} + { | ||
#Get rid of plotLegend if requested | ||
if (!plotLegend) { | ||
ggplot2::theme(legend.position = "none") | ||
} else{ | ||
ggplot2::theme(legend.position = "right") | ||
} | ||
}#end GGPLOT stuffs | ||
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#Save plots if requested | ||
if(savePNG){ | ||
if(i==1){ | ||
baseNom<-basename(tools::file_path_sans_ext(soundFile)) | ||
subDest<-fs::path(destFolder,paste0(baseNom,"_static_specs")) | ||
dir.create(subDest,showWarnings = FALSE) | ||
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#Save plots if requested | ||
if (savePNG) { | ||
if (i == 1) { | ||
baseNom <- basename(tools::file_path_sans_ext(soundFile)) | ||
subDest <- | ||
fs::path(destFolder, paste0(baseNom, "_static_specs")) | ||
dir.create(subDest, showWarnings = FALSE) | ||
} | ||
fn_i=fs::path(subDest,paste0(baseNom,"_",i),ext="png") | ||
ggplot2::ggsave(fn_i,width=specWidth,height=specHeight,units="in") | ||
cat(paste0("\nStatic spec saved @",fn_i)) | ||
} | ||
fn_i = fs::path(subDest, paste0(baseNom, "_", i), ext = "png") | ||
ggplot2::ggsave(fn_i, | ||
width = specWidth, | ||
height = specHeight, | ||
units = "in") | ||
cat(paste0("\nStatic spec saved @", fn_i)) | ||
} | ||
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}#end for loop | ||
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}#end for loop | ||
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rm(spectrogram) | ||
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return(list(specList=Glist,fontAndAxisCol=fontAndAxisCol,autoFontCol=autoFontCol)) | ||
}#end | ||
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rm(spectrogram) | ||
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return(list( | ||
specList = Glist, | ||
fontAndAxisCol = fontAndAxisCol, | ||
autoFontCol = autoFontCol | ||
)) | ||
}#end |