library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Andersengasse_29 <- sunrise.set(48.1619019,16.327154800000016, "2021/01/01", timezone="MET", num.days=370) sunrise <- Andersengasse_29$sunrise sunset <- Andersengasse_29$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Andersengasse_29["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Andersengasse_29["ss"] <- as.POSIXct(sunset, format = "%H:%M") Andersengasse_29["timestamp"] <- align.time(Andersengasse_29$sunrise, 60*10) Andersengasse_29 <- Andersengasse_29[c("timestamp", "sr", "ss")] locsrss <- ggplot(Andersengasse_29, aes(x=Andersengasse_29$timestamp)) + geom_line(aes(y=Andersengasse_29$sr)) + geom_line(aes(y=Andersengasse_29$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Andersengasse_29 2021", x = "Datum", y = "Zeit") pdf("Andersengasse_29_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Andersengasse_29_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Andersengasse_29["Sonnenaufgang"] <- strftime(Andersengasse_29$sr, format="%H:%M") Andersengasse_29["Sonnenuntergang"] <- strftime(Andersengasse_29$ss, format="%H:%M") write.table(Andersengasse_29, file="Andersengasse_29_SaSu.csv", dec=',', sep=';', row.names=FALSE)