library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Düsseldorf <- sunrise.set(51.2249429,6.7756524, "2021/01/01", timezone="MET", num.days=370) sunrise <- Düsseldorf$sunrise sunset <- Düsseldorf$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Düsseldorf["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Düsseldorf["ss"] <- as.POSIXct(sunset, format = "%H:%M") Düsseldorf["timestamp"] <- align.time(Düsseldorf$sunrise, 60*10) Düsseldorf <- Düsseldorf[c("timestamp", "sr", "ss")] locsrss <- ggplot(Düsseldorf, aes(x=Düsseldorf$timestamp)) + geom_line(aes(y=Düsseldorf$sr)) + geom_line(aes(y=Düsseldorf$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Düsseldorf 2021", x = "Datum", y = "Zeit") pdf("Düsseldorf_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Düsseldorf_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Düsseldorf["Sonnenaufgang"] <- strftime(Düsseldorf$sr, format="%H:%M") Düsseldorf["Sonnenuntergang"] <- strftime(Düsseldorf$ss, format="%H:%M") write.table(Düsseldorf, file="Düsseldorf_SaSu.csv", dec=',', sep=';', row.names=FALSE)