library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Abensberg <- sunrise.set(48.8177181,11.850786700000072, "2021/01/01", timezone="MET", num.days=370) sunrise <- Abensberg$sunrise sunset <- Abensberg$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Abensberg["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Abensberg["ss"] <- as.POSIXct(sunset, format = "%H:%M") Abensberg["timestamp"] <- align.time(Abensberg$sunrise, 60*10) Abensberg <- Abensberg[c("timestamp", "sr", "ss")] locsrss <- ggplot(Abensberg, aes(x=Abensberg$timestamp)) + geom_line(aes(y=Abensberg$sr)) + geom_line(aes(y=Abensberg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Abensberg 2021", x = "Datum", y = "Zeit") pdf("Abensberg_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Abensberg_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Abensberg["Sonnenaufgang"] <- strftime(Abensberg$sr, format="%H:%M") Abensberg["Sonnenuntergang"] <- strftime(Abensberg$ss, format="%H:%M") write.table(Abensberg, file="Abensberg_SaSu.csv", dec=',', sep=';', row.names=FALSE)