library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Cretzschwitz <- sunrise.set(50.9375264,12.122617799999944, "2022/01/01", timezone="MET", num.days=370) sunrise <- Cretzschwitz$sunrise sunset <- Cretzschwitz$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Cretzschwitz["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Cretzschwitz["ss"] <- as.POSIXct(sunset, format = "%H:%M") Cretzschwitz["timestamp"] <- align.time(Cretzschwitz$sunrise, 60*10) Cretzschwitz <- Cretzschwitz[c("timestamp", "sr", "ss")] locsrss <- ggplot(Cretzschwitz, aes(x=Cretzschwitz$timestamp)) + geom_line(aes(y=Cretzschwitz$sr)) + geom_line(aes(y=Cretzschwitz$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Cretzschwitz 2022", x = "Datum", y = "Zeit") pdf("Cretzschwitz_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Cretzschwitz_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Cretzschwitz["Sonnenaufgang"] <- strftime(Cretzschwitz$sr, format="%H:%M") Cretzschwitz["Sonnenuntergang"] <- strftime(Cretzschwitz$ss, format="%H:%M") write.table(Cretzschwitz, file="Cretzschwitz_SaSu.csv", dec=',', sep=';', row.names=FALSE)