library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Bruchk��bel <- sunrise.set(50.1910587600735,8.931358246093737, "2022/01/01", timezone="MET", num.days=370) sunrise <- Bruchk��bel$sunrise sunset <- Bruchk��bel$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Bruchk��bel["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Bruchk��bel["ss"] <- as.POSIXct(sunset, format = "%H:%M") Bruchk��bel["timestamp"] <- align.time(Bruchk��bel$sunrise, 60*10) Bruchk��bel <- Bruchk��bel[c("timestamp", "sr", "ss")] locsrss <- ggplot(Bruchk��bel, aes(x=Bruchk��bel$timestamp)) + geom_line(aes(y=Bruchk��bel$sr)) + geom_line(aes(y=Bruchk��bel$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bruchk��bel 2022", x = "Datum", y = "Zeit") pdf("Bruchk��bel_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Bruchk��bel_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Bruchk��bel["Sonnenaufgang"] <- strftime(Bruchk��bel$sr, format="%H:%M") Bruchk��bel["Sonnenuntergang"] <- strftime(Bruchk��bel$ss, format="%H:%M") write.table(Bruchk��bel, file="Bruchk��bel_SaSu.csv", dec=',', sep=';', row.names=FALSE)