library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Bagenz <- sunrise.set(51.65479785755136,14.431131362426754, "2021/01/01", timezone="MET", num.days=370) sunrise <- Bagenz$sunrise sunset <- Bagenz$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Bagenz["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Bagenz["ss"] <- as.POSIXct(sunset, format = "%H:%M") Bagenz["timestamp"] <- align.time(Bagenz$sunrise, 60*10) Bagenz <- Bagenz[c("timestamp", "sr", "ss")] locsrss <- ggplot(Bagenz, aes(x=Bagenz$timestamp)) + geom_line(aes(y=Bagenz$sr)) + geom_line(aes(y=Bagenz$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bagenz 2021", x = "Datum", y = "Zeit") pdf("Bagenz_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Bagenz_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Bagenz["Sonnenaufgang"] <- strftime(Bagenz$sr, format="%H:%M") Bagenz["Sonnenuntergang"] <- strftime(Bagenz$ss, format="%H:%M") write.table(Bagenz, file="Bagenz_SaSu.csv", dec=',', sep=';', row.names=FALSE)