library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Gruibingen <- sunrise.set(48.5950435,9.64064959999996, "2019/01/01", timezone="MET", num.days=370) sunrise <- Gruibingen$sunrise sunset <- Gruibingen$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Gruibingen["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Gruibingen["ss"] <- as.POSIXct(sunset, format = "%H:%M") Gruibingen["timestamp"] <- align.time(Gruibingen$sunrise, 60*10) Gruibingen <- Gruibingen[c("timestamp", "sr", "ss")] locsrss <- ggplot(Gruibingen, aes(x=Gruibingen$timestamp)) + geom_line(aes(y=Gruibingen$sr)) + geom_line(aes(y=Gruibingen$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Gruibingen 2019", x = "Datum", y = "Zeit") pdf("Gruibingen_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Gruibingen_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Gruibingen["Sonnenaufgang"] <- strftime(Gruibingen$sr, format="%H:%M") Gruibingen["Sonnenuntergang"] <- strftime(Gruibingen$ss, format="%H:%M") write.table(Gruibingen, file="Gruibingen_SaSu.csv", dec=',', sep=';', row.names=FALSE)