library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Clervaux <- sunrise.set(50.0550282,6.0299537, "2021/01/01", timezone="MET", num.days=370) sunrise <- Clervaux$sunrise sunset <- Clervaux$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Clervaux["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Clervaux["ss"] <- as.POSIXct(sunset, format = "%H:%M") Clervaux["timestamp"] <- align.time(Clervaux$sunrise, 60*10) Clervaux <- Clervaux[c("timestamp", "sr", "ss")] locsrss <- ggplot(Clervaux, aes(x=Clervaux$timestamp)) + geom_line(aes(y=Clervaux$sr)) + geom_line(aes(y=Clervaux$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Clervaux 2021", x = "Datum", y = "Zeit") pdf("Clervaux_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Clervaux_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Clervaux["Sonnenaufgang"] <- strftime(Clervaux$sr, format="%H:%M") Clervaux["Sonnenuntergang"] <- strftime(Clervaux$ss, format="%H:%M") write.table(Clervaux, file="Clervaux_SaSu.csv", dec=',', sep=';', row.names=FALSE)