library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Casekow <- sunrise.set(53.20670084219607,14.151420593261719, "2021/01/01", timezone="MET", num.days=370) sunrise <- Casekow$sunrise sunset <- Casekow$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Casekow["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Casekow["ss"] <- as.POSIXct(sunset, format = "%H:%M") Casekow["timestamp"] <- align.time(Casekow$sunrise, 60*10) Casekow <- Casekow[c("timestamp", "sr", "ss")] locsrss <- ggplot(Casekow, aes(x=Casekow$timestamp)) + geom_line(aes(y=Casekow$sr)) + geom_line(aes(y=Casekow$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Casekow 2021", x = "Datum", y = "Zeit") pdf("Casekow_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Casekow_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Casekow["Sonnenaufgang"] <- strftime(Casekow$sr, format="%H:%M") Casekow["Sonnenuntergang"] <- strftime(Casekow$ss, format="%H:%M") write.table(Casekow, file="Casekow_SaSu.csv", dec=',', sep=';', row.names=FALSE)