plot.integrate.RAMAN <- function(EEM, maxf, graph=T)
{
ex350 <- which(EEM$wlex == 350)
em370 <- which(EEM$wlem == 370)
em380 <- which(EEM$wlem == 380)
em414 <- which(EEM$wlem == 414)
em428 <- which(EEM$wlem == 428)
# Substract baseline
Df = data.frame(x = c(EEM$wlem[em370:em380], EEM$wlem[em414:em428]), y = c(EEM$EEM.list$eem[ex350,em370:em380,1], EEM$EEM.list$eem[ex350,em414:em428,1]))
mod = lm(y~x, data=Df)
offset = predict(mod, newdata = data.frame(x = EEM$wlem[em370:em428]))
raman = EEM$EEM.list$eem[ex350,em370:em428,1] - offset
# integration of the Raman peak folowwing LAWAETZ and STEDMON (2009)
fx.linear <- approxfun(EEM$wlem[em370:em428], raman)
res <- integrate(fx.linear, 371, 428)[1]
RamanInt <- as.numeric(res)
# Graph production
if(graph)
{
plot(EEM$wlem[em370:em428], EEM$EEM.list$eem[ex350,em370:em428,1],
type="l", lwd=3,
xlab="Emission wavelenght", ylab="Fluorescence")
abline(mod, lwd = 3, col = "blue")
text(380,20, paste("Raman integration:", as.character(signif(RamanInt,5))))
# dev.off()
}
return(RamanInt)
}
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