library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Döbeln <- sunrise.set(51.121063,13.122949, "2021/01/01", timezone="MET", num.days=370) sunrise <- Döbeln$sunrise sunset <- Döbeln$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Döbeln["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Döbeln["ss"] <- as.POSIXct(sunset, format = "%H:%M") Döbeln["timestamp"] <- align.time(Döbeln$sunrise, 60*10) Döbeln <- Döbeln[c("timestamp", "sr", "ss")] locsrss <- ggplot(Döbeln, aes(x=Döbeln$timestamp)) + geom_line(aes(y=Döbeln$sr)) + geom_line(aes(y=Döbeln$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Döbeln 2021", x = "Datum", y = "Zeit") pdf("Döbeln_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Döbeln_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Döbeln["Sonnenaufgang"] <- strftime(Döbeln$sr, format="%H:%M") Döbeln["Sonnenuntergang"] <- strftime(Döbeln$ss, format="%H:%M") write.table(Döbeln, file="Döbeln_SaSu.csv", dec=',', sep=';', row.names=FALSE)