library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Dachau <- sunrise.set(48.261912755961085,11.449780877368198, "2021/01/01", timezone="MET", num.days=370) sunrise <- Dachau$sunrise sunset <- Dachau$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Dachau["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Dachau["ss"] <- as.POSIXct(sunset, format = "%H:%M") Dachau["timestamp"] <- align.time(Dachau$sunrise, 60*10) Dachau <- Dachau[c("timestamp", "sr", "ss")] locsrss <- ggplot(Dachau, aes(x=Dachau$timestamp)) + geom_line(aes(y=Dachau$sr)) + geom_line(aes(y=Dachau$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Dachau 2021", x = "Datum", y = "Zeit") pdf("Dachau_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Dachau_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Dachau["Sonnenaufgang"] <- strftime(Dachau$sr, format="%H:%M") Dachau["Sonnenuntergang"] <- strftime(Dachau$ss, format="%H:%M") write.table(Dachau, file="Dachau_SaSu.csv", dec=',', sep=';', row.names=FALSE)