library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Kerkrade <- sunrise.set(50.8659457,6.0705486, "2019/01/01", timezone="MET", num.days=370) sunrise <- Kerkrade$sunrise sunset <- Kerkrade$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Kerkrade["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Kerkrade["ss"] <- as.POSIXct(sunset, format = "%H:%M") Kerkrade["timestamp"] <- align.time(Kerkrade$sunrise, 60*10) Kerkrade <- Kerkrade[c("timestamp", "sr", "ss")] locsrss <- ggplot(Kerkrade, aes(x=Kerkrade$timestamp)) + geom_line(aes(y=Kerkrade$sr)) + geom_line(aes(y=Kerkrade$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Kerkrade 2019", x = "Datum", y = "Zeit") pdf("Kerkrade_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Kerkrade_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Kerkrade["Sonnenaufgang"] <- strftime(Kerkrade$sr, format="%H:%M") Kerkrade["Sonnenuntergang"] <- strftime(Kerkrade$ss, format="%H:%M") write.table(Kerkrade, file="Kerkrade_SaSu.csv", dec=',', sep=';', row.names=FALSE)