library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Elsdorf <- sunrise.set(50.9392493,6.5635008, "2019/01/01", timezone="MET", num.days=370) sunrise <- Elsdorf$sunrise sunset <- Elsdorf$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Elsdorf["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Elsdorf["ss"] <- as.POSIXct(sunset, format = "%H:%M") Elsdorf["timestamp"] <- align.time(Elsdorf$sunrise, 60*10) Elsdorf <- Elsdorf[c("timestamp", "sr", "ss")] locsrss <- ggplot(Elsdorf, aes(x=Elsdorf$timestamp)) + geom_line(aes(y=Elsdorf$sr)) + geom_line(aes(y=Elsdorf$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Elsdorf 2019", x = "Datum", y = "Zeit") pdf("Elsdorf_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Elsdorf_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Elsdorf["Sonnenaufgang"] <- strftime(Elsdorf$sr, format="%H:%M") Elsdorf["Sonnenuntergang"] <- strftime(Elsdorf$ss, format="%H:%M") write.table(Elsdorf, file="Elsdorf_SaSu.csv", dec=',', sep=';', row.names=FALSE)