library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Bad_lausick <- sunrise.set(51.1449012,12.645053200000007, "2021/01/01", timezone="MET", num.days=370) sunrise <- Bad_lausick$sunrise sunset <- Bad_lausick$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Bad_lausick["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Bad_lausick["ss"] <- as.POSIXct(sunset, format = "%H:%M") Bad_lausick["timestamp"] <- align.time(Bad_lausick$sunrise, 60*10) Bad_lausick <- Bad_lausick[c("timestamp", "sr", "ss")] locsrss <- ggplot(Bad_lausick, aes(x=Bad_lausick$timestamp)) + geom_line(aes(y=Bad_lausick$sr)) + geom_line(aes(y=Bad_lausick$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Bad_lausick 2021", x = "Datum", y = "Zeit") pdf("Bad_lausick_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Bad_lausick_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Bad_lausick["Sonnenaufgang"] <- strftime(Bad_lausick$sr, format="%H:%M") Bad_lausick["Sonnenuntergang"] <- strftime(Bad_lausick$ss, format="%H:%M") write.table(Bad_lausick, file="Bad_lausick_SaSu.csv", dec=',', sep=';', row.names=FALSE)