library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Bingen_gaulsheim <- sunrise.set(49.9635688,7.952546200000029, "2022/01/01", timezone="MET", num.days=370) sunrise <- Bingen_gaulsheim$sunrise sunset <- Bingen_gaulsheim$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Bingen_gaulsheim["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Bingen_gaulsheim["ss"] <- as.POSIXct(sunset, format = "%H:%M") Bingen_gaulsheim["timestamp"] <- align.time(Bingen_gaulsheim$sunrise, 60*10) Bingen_gaulsheim <- Bingen_gaulsheim[c("timestamp", "sr", "ss")] locsrss <- ggplot(Bingen_gaulsheim, aes(x=Bingen_gaulsheim$timestamp)) + geom_line(aes(y=Bingen_gaulsheim$sr)) + geom_line(aes(y=Bingen_gaulsheim$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bingen_gaulsheim 2022", x = "Datum", y = "Zeit") pdf("Bingen_gaulsheim_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Bingen_gaulsheim_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Bingen_gaulsheim["Sonnenaufgang"] <- strftime(Bingen_gaulsheim$sr, format="%H:%M") Bingen_gaulsheim["Sonnenuntergang"] <- strftime(Bingen_gaulsheim$ss, format="%H:%M") write.table(Bingen_gaulsheim, file="Bingen_gaulsheim_SaSu.csv", dec=',', sep=';', row.names=FALSE)