library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Lemvig_DK <- sunrise.set(51.96,7.62, "2019/01/01", timezone="MET", num.days=370) sunrise <- Lemvig_DK$sunrise sunset <- Lemvig_DK$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Lemvig_DK["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Lemvig_DK["ss"] <- as.POSIXct(sunset, format = "%H:%M") Lemvig_DK["timestamp"] <- align.time(Lemvig_DK$sunrise, 60*10) Lemvig_DK <- Lemvig_DK[c("timestamp", "sr", "ss")] locsrss <- ggplot(Lemvig_DK, aes(x=Lemvig_DK$timestamp)) + geom_line(aes(y=Lemvig_DK$sr)) + geom_line(aes(y=Lemvig_DK$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Lemvig_DK 2019", x = "Datum", y = "Zeit") pdf("Lemvig_DK_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Lemvig_DK_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Lemvig_DK["Sonnenaufgang"] <- strftime(Lemvig_DK$sr, format="%H:%M") Lemvig_DK["Sonnenuntergang"] <- strftime(Lemvig_DK$ss, format="%H:%M") write.table(Lemvig_DK, file="Lemvig_DK_SaSu.csv", dec=',', sep=';', row.names=FALSE)