library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Carolinensiel_ <- sunrise.set(53.691601,7.801536, "2021/01/01", timezone="MET", num.days=370) sunrise <- Carolinensiel_$sunrise sunset <- Carolinensiel_$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Carolinensiel_["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Carolinensiel_["ss"] <- as.POSIXct(sunset, format = "%H:%M") Carolinensiel_["timestamp"] <- align.time(Carolinensiel_$sunrise, 60*10) Carolinensiel_ <- Carolinensiel_[c("timestamp", "sr", "ss")] locsrss <- ggplot(Carolinensiel_, aes(x=Carolinensiel_$timestamp)) + geom_line(aes(y=Carolinensiel_$sr)) + geom_line(aes(y=Carolinensiel_$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Carolinensiel_ 2021", x = "Datum", y = "Zeit") pdf("Carolinensiel__SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Carolinensiel__SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Carolinensiel_["Sonnenaufgang"] <- strftime(Carolinensiel_$sr, format="%H:%M") Carolinensiel_["Sonnenuntergang"] <- strftime(Carolinensiel_$ss, format="%H:%M") write.table(Carolinensiel_, file="Carolinensiel__SaSu.csv", dec=',', sep=';', row.names=FALSE)