library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Esbjerg <- sunrise.set(55.476466,8.459405, "2022/01/01", timezone="MET", num.days=370) sunrise <- Esbjerg$sunrise sunset <- Esbjerg$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Esbjerg["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Esbjerg["ss"] <- as.POSIXct(sunset, format = "%H:%M") Esbjerg["timestamp"] <- align.time(Esbjerg$sunrise, 60*10) Esbjerg <- Esbjerg[c("timestamp", "sr", "ss")] locsrss <- ggplot(Esbjerg, aes(x=Esbjerg$timestamp)) + geom_line(aes(y=Esbjerg$sr)) + geom_line(aes(y=Esbjerg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Esbjerg 2022", x = "Datum", y = "Zeit") pdf("Esbjerg_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Esbjerg_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Esbjerg["Sonnenaufgang"] <- strftime(Esbjerg$sr, format="%H:%M") Esbjerg["Sonnenuntergang"] <- strftime(Esbjerg$ss, format="%H:%M") write.table(Esbjerg, file="Esbjerg_SaSu.csv", dec=',', sep=';', row.names=FALSE)