library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Engenhahn <- sunrise.set(50.16530528307343,8.239606962890662, "2021/01/01", timezone="MET", num.days=370) sunrise <- Engenhahn$sunrise sunset <- Engenhahn$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Engenhahn["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Engenhahn["ss"] <- as.POSIXct(sunset, format = "%H:%M") Engenhahn["timestamp"] <- align.time(Engenhahn$sunrise, 60*10) Engenhahn <- Engenhahn[c("timestamp", "sr", "ss")] locsrss <- ggplot(Engenhahn, aes(x=Engenhahn$timestamp)) + geom_line(aes(y=Engenhahn$sr)) + geom_line(aes(y=Engenhahn$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Engenhahn 2021", x = "Datum", y = "Zeit") pdf("Engenhahn_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Engenhahn_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Engenhahn["Sonnenaufgang"] <- strftime(Engenhahn$sr, format="%H:%M") Engenhahn["Sonnenuntergang"] <- strftime(Engenhahn$ss, format="%H:%M") write.table(Engenhahn, file="Engenhahn_SaSu.csv", dec=',', sep=';', row.names=FALSE)