plot_processed<-function (file,norm=FALSE, t1 = 0, t2 = 0,csv=FALSE,dir=getwd())
{
oldpar <- par(no.readonly =TRUE)
on.exit(par(oldpar))
if (t1 < 0 | t2 < 0 | t1 > t2) {
stop("No possible values for t1 and t2")
}
if(csv== "TRUE"){
peak <- read.csv(file, header = FALSE)}else{
peak<-file
}
if (t2 > t1) {
peak <- peak[which(peak[, 1] > t1 & peak[, 1] < t2),
]
y <- peak[, 2]
x <- peak[, 1]
}
y <- peak[, 2]
x <- peak[, 1]
if (norm=="TRUE"){
y = (y-min(y))/(max(y)-min(y))
}
if(class(peak)=="matrix"){
peakB<-as.data.frame(peak)
}
opar <- par(no.readonly =TRUE)
d <- ggplot(data.frame(peak), aes(x = x, y = y)) + geom_line(color = "red",
size = 0.5, show.legend = FALSE)
d2 <- d + theme_bw()
d22 <- d2 + theme(plot.title = element_blank(),panel.grid.major = element_blank(), panel.grid.minor = element_blank(),panel.border = element_rect(colour = "black"),
axis.title = element_text(size = 20), axis.title.y = element_text(margin = margin(0, 20, 0, 0)),axis.text.y = element_text(size=15,colour = "black"),axis.text.x = element_text(size=15,colour = "black"), legend.text = element_blank(),
legend.title = element_text(size = 15)) + scale_y_continuous(name = "Relative Intensity")
d22 <- d22 + xlab("m/z")
on.exit(par(opar))
ggsave(d22,filename=file.path(dir,"MS_processed.tiff"), dpi = 800, width = 6, height = 4, units = 'in')
return(peak)
}
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