library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Bann <- sunrise.set(49.3920342,7.6108019000000695, "2021/01/01", timezone="MET", num.days=370) sunrise <- Bann$sunrise sunset <- Bann$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Bann["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Bann["ss"] <- as.POSIXct(sunset, format = "%H:%M") Bann["timestamp"] <- align.time(Bann$sunrise, 60*10) Bann <- Bann[c("timestamp", "sr", "ss")] locsrss <- ggplot(Bann, aes(x=Bann$timestamp)) + geom_line(aes(y=Bann$sr)) + geom_line(aes(y=Bann$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bann 2021", x = "Datum", y = "Zeit") pdf("Bann_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Bann_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Bann["Sonnenaufgang"] <- strftime(Bann$sr, format="%H:%M") Bann["Sonnenuntergang"] <- strftime(Bann$ss, format="%H:%M") write.table(Bann, file="Bann_SaSu.csv", dec=',', sep=';', row.names=FALSE)