library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Dorum <- sunrise.set(53.6897251,8.567307700000015, "2022/01/01", timezone="MET", num.days=370) sunrise <- Dorum$sunrise sunset <- Dorum$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Dorum["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Dorum["ss"] <- as.POSIXct(sunset, format = "%H:%M") Dorum["timestamp"] <- align.time(Dorum$sunrise, 60*10) Dorum <- Dorum[c("timestamp", "sr", "ss")] locsrss <- ggplot(Dorum, aes(x=Dorum$timestamp)) + geom_line(aes(y=Dorum$sr)) + geom_line(aes(y=Dorum$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Dorum 2022", x = "Datum", y = "Zeit") pdf("Dorum_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Dorum_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Dorum["Sonnenaufgang"] <- strftime(Dorum$sr, format="%H:%M") Dorum["Sonnenuntergang"] <- strftime(Dorum$ss, format="%H:%M") write.table(Dorum, file="Dorum_SaSu.csv", dec=',', sep=';', row.names=FALSE)