library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Kaiserslautern <- sunrise.set(49.4400657,7.7491264999999885, "2019/01/01", timezone="MET", num.days=370) sunrise <- Kaiserslautern$sunrise sunset <- Kaiserslautern$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Kaiserslautern["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Kaiserslautern["ss"] <- as.POSIXct(sunset, format = "%H:%M") Kaiserslautern["timestamp"] <- align.time(Kaiserslautern$sunrise, 60*10) Kaiserslautern <- Kaiserslautern[c("timestamp", "sr", "ss")] locsrss <- ggplot(Kaiserslautern, aes(x=Kaiserslautern$timestamp)) + geom_line(aes(y=Kaiserslautern$sr)) + geom_line(aes(y=Kaiserslautern$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Kaiserslautern 2019", x = "Datum", y = "Zeit") pdf("Kaiserslautern_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Kaiserslautern_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Kaiserslautern["Sonnenaufgang"] <- strftime(Kaiserslautern$sr, format="%H:%M") Kaiserslautern["Sonnenuntergang"] <- strftime(Kaiserslautern$ss, format="%H:%M") write.table(Kaiserslautern, file="Kaiserslautern_SaSu.csv", dec=',', sep=';', row.names=FALSE)