library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Halberstadt <- sunrise.set(51.89487090000001,11.049615899999935, "2024/01/01", timezone="MET", num.days=370) sunrise <- Halberstadt$sunrise sunset <- Halberstadt$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Halberstadt["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Halberstadt["ss"] <- as.POSIXct(sunset, format = "%H:%M") Halberstadt["timestamp"] <- align.time(Halberstadt$sunrise, 60*10) Halberstadt <- Halberstadt[c("timestamp", "sr", "ss")] locsrss <- ggplot(Halberstadt, aes(x=Halberstadt$timestamp)) + geom_line(aes(y=Halberstadt$sr)) + geom_line(aes(y=Halberstadt$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Halberstadt 2024", x = "Datum", y = "Zeit") pdf("Halberstadt_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Halberstadt_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Halberstadt["Sonnenaufgang"] <- strftime(Halberstadt$sr, format="%H:%M") Halberstadt["Sonnenuntergang"] <- strftime(Halberstadt$ss, format="%H:%M") write.table(Halberstadt, file="Halberstadt_SaSu.csv", dec=',', sep=';', row.names=FALSE)