library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Eisenh��ttenstadt <- sunrise.set(52.1436615,14.6419022, "2023/01/01", timezone="MET", num.days=370) sunrise <- Eisenh��ttenstadt$sunrise sunset <- Eisenh��ttenstadt$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Eisenh��ttenstadt["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Eisenh��ttenstadt["ss"] <- as.POSIXct(sunset, format = "%H:%M") Eisenh��ttenstadt["timestamp"] <- align.time(Eisenh��ttenstadt$sunrise, 60*10) Eisenh��ttenstadt <- Eisenh��ttenstadt[c("timestamp", "sr", "ss")] locsrss <- ggplot(Eisenh��ttenstadt, aes(x=Eisenh��ttenstadt$timestamp)) + geom_line(aes(y=Eisenh��ttenstadt$sr)) + geom_line(aes(y=Eisenh��ttenstadt$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Eisenh��ttenstadt 2023", x = "Datum", y = "Zeit") pdf("Eisenh��ttenstadt_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Eisenh��ttenstadt_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Eisenh��ttenstadt["Sonnenaufgang"] <- strftime(Eisenh��ttenstadt$sr, format="%H:%M") Eisenh��ttenstadt["Sonnenuntergang"] <- strftime(Eisenh��ttenstadt$ss, format="%H:%M") write.table(Eisenh��ttenstadt, file="Eisenh��ttenstadt_SaSu.csv", dec=',', sep=';', row.names=FALSE)