library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Dorfen <- sunrise.set(48.27929258132695,12.164135397961445, "2021/01/01", timezone="MET", num.days=370) sunrise <- Dorfen$sunrise sunset <- Dorfen$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Dorfen["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Dorfen["ss"] <- as.POSIXct(sunset, format = "%H:%M") Dorfen["timestamp"] <- align.time(Dorfen$sunrise, 60*10) Dorfen <- Dorfen[c("timestamp", "sr", "ss")] locsrss <- ggplot(Dorfen, aes(x=Dorfen$timestamp)) + geom_line(aes(y=Dorfen$sr)) + geom_line(aes(y=Dorfen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Dorfen 2021", x = "Datum", y = "Zeit") pdf("Dorfen_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Dorfen_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Dorfen["Sonnenaufgang"] <- strftime(Dorfen$sr, format="%H:%M") Dorfen["Sonnenuntergang"] <- strftime(Dorfen$ss, format="%H:%M") write.table(Dorfen, file="Dorfen_SaSu.csv", dec=',', sep=';', row.names=FALSE)