library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Düren <- sunrise.set(50.85721817946077,6.455583572387695, "2021/01/01", timezone="MET", num.days=370) sunrise <- Düren$sunrise sunset <- Düren$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Düren["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Düren["ss"] <- as.POSIXct(sunset, format = "%H:%M") Düren["timestamp"] <- align.time(Düren$sunrise, 60*10) Düren <- Düren[c("timestamp", "sr", "ss")] locsrss <- ggplot(Düren, aes(x=Düren$timestamp)) + geom_line(aes(y=Düren$sr)) + geom_line(aes(y=Düren$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Düren 2021", x = "Datum", y = "Zeit") pdf("Düren_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Düren_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Düren["Sonnenaufgang"] <- strftime(Düren$sr, format="%H:%M") Düren["Sonnenuntergang"] <- strftime(Düren$ss, format="%H:%M") write.table(Düren, file="Düren_SaSu.csv", dec=',', sep=';', row.names=FALSE)