library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Frankfurt <- sunrise.set(51.163375,10.447683, "2021/01/01", timezone="MET", num.days=370) sunrise <- Frankfurt$sunrise sunset <- Frankfurt$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Frankfurt["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Frankfurt["ss"] <- as.POSIXct(sunset, format = "%H:%M") Frankfurt["timestamp"] <- align.time(Frankfurt$sunrise, 60*10) Frankfurt <- Frankfurt[c("timestamp", "sr", "ss")] locsrss <- ggplot(Frankfurt, aes(x=Frankfurt$timestamp)) + geom_line(aes(y=Frankfurt$sr)) + geom_line(aes(y=Frankfurt$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Frankfurt 2021", x = "Datum", y = "Zeit") pdf("Frankfurt_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Frankfurt_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Frankfurt["Sonnenaufgang"] <- strftime(Frankfurt$sr, format="%H:%M") Frankfurt["Sonnenuntergang"] <- strftime(Frankfurt$ss, format="%H:%M") write.table(Frankfurt, file="Frankfurt_SaSu.csv", dec=',', sep=';', row.names=FALSE)