library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Brasilien <- sunrise.set(-14.235004,-51.92527999999999, "2021/01/01", timezone="MET", num.days=370) sunrise <- Brasilien$sunrise sunset <- Brasilien$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Brasilien["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Brasilien["ss"] <- as.POSIXct(sunset, format = "%H:%M") Brasilien["timestamp"] <- align.time(Brasilien$sunrise, 60*10) Brasilien <- Brasilien[c("timestamp", "sr", "ss")] locsrss <- ggplot(Brasilien, aes(x=Brasilien$timestamp)) + geom_line(aes(y=Brasilien$sr)) + geom_line(aes(y=Brasilien$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Brasilien 2021", x = "Datum", y = "Zeit") pdf("Brasilien_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Brasilien_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Brasilien["Sonnenaufgang"] <- strftime(Brasilien$sr, format="%H:%M") Brasilien["Sonnenuntergang"] <- strftime(Brasilien$ss, format="%H:%M") write.table(Brasilien, file="Brasilien_SaSu.csv", dec=',', sep=';', row.names=FALSE)