library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Altnau <- sunrise.set(47.61038,9.25766, "2023/01/01", timezone="MET", num.days=370) sunrise <- Altnau$sunrise sunset <- Altnau$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Altnau["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Altnau["ss"] <- as.POSIXct(sunset, format = "%H:%M") Altnau["timestamp"] <- align.time(Altnau$sunrise, 60*10) Altnau <- Altnau[c("timestamp", "sr", "ss")] locsrss <- ggplot(Altnau, aes(x=Altnau$timestamp)) + geom_line(aes(y=Altnau$sr)) + geom_line(aes(y=Altnau$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Altnau 2023", x = "Datum", y = "Zeit") pdf("Altnau_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Altnau_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Altnau["Sonnenaufgang"] <- strftime(Altnau$sr, format="%H:%M") Altnau["Sonnenuntergang"] <- strftime(Altnau$ss, format="%H:%M") write.table(Altnau, file="Altnau_SaSu.csv", dec=',', sep=';', row.names=FALSE)