library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) DE_24211 <- sunrise.set(54.23402258588633,10.268779172525, "2021/01/01", timezone="MET", num.days=370) sunrise <- DE_24211$sunrise sunset <- DE_24211$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") DE_24211["sr"] <- as.POSIXct(sunrise, format = "%H:%M") DE_24211["ss"] <- as.POSIXct(sunset, format = "%H:%M") DE_24211["timestamp"] <- align.time(DE_24211$sunrise, 60*10) DE_24211 <- DE_24211[c("timestamp", "sr", "ss")] locsrss <- ggplot(DE_24211, aes(x=DE_24211$timestamp)) + geom_line(aes(y=DE_24211$sr)) + geom_line(aes(y=DE_24211$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - DE_24211 2021", x = "Datum", y = "Zeit") pdf("DE_24211_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="DE_24211_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() DE_24211["Sonnenaufgang"] <- strftime(DE_24211$sr, format="%H:%M") DE_24211["Sonnenuntergang"] <- strftime(DE_24211$ss, format="%H:%M") write.table(DE_24211, file="DE_24211_SaSu.csv", dec=',', sep=';', row.names=FALSE)