library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Darmstadr <- sunrise.set(49.76776011087078,8.686215877532959, "2021/01/01", timezone="MET", num.days=370) sunrise <- Darmstadr$sunrise sunset <- Darmstadr$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Darmstadr["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Darmstadr["ss"] <- as.POSIXct(sunset, format = "%H:%M") Darmstadr["timestamp"] <- align.time(Darmstadr$sunrise, 60*10) Darmstadr <- Darmstadr[c("timestamp", "sr", "ss")] locsrss <- ggplot(Darmstadr, aes(x=Darmstadr$timestamp)) + geom_line(aes(y=Darmstadr$sr)) + geom_line(aes(y=Darmstadr$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Darmstadr 2021", x = "Datum", y = "Zeit") pdf("Darmstadr_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Darmstadr_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Darmstadr["Sonnenaufgang"] <- strftime(Darmstadr$sr, format="%H:%M") Darmstadr["Sonnenuntergang"] <- strftime(Darmstadr$ss, format="%H:%M") write.table(Darmstadr, file="Darmstadr_SaSu.csv", dec=',', sep=';', row.names=FALSE)