library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Mainz <- sunrise.set(49.93918930569473,7.546014189720154, "2021/01/01", timezone="MET", num.days=370) sunrise <- Mainz$sunrise sunset <- Mainz$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Mainz["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Mainz["ss"] <- as.POSIXct(sunset, format = "%H:%M") Mainz["timestamp"] <- align.time(Mainz$sunrise, 60*10) Mainz <- Mainz[c("timestamp", "sr", "ss")] locsrss <- ggplot(Mainz, aes(x=Mainz$timestamp)) + geom_line(aes(y=Mainz$sr)) + geom_line(aes(y=Mainz$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Mainz 2021", x = "Datum", y = "Zeit") pdf("Mainz_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Mainz_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Mainz["Sonnenaufgang"] <- strftime(Mainz$sr, format="%H:%M") Mainz["Sonnenuntergang"] <- strftime(Mainz$ss, format="%H:%M") write.table(Mainz, file="Mainz_SaSu.csv", dec=',', sep=';', row.names=FALSE)