library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) 44791 <- sunrise.set(51.489954,7.250107, "2023/01/01", timezone="MET", num.days=370) sunrise <- 44791$sunrise sunset <- 44791$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") 44791["sr"] <- as.POSIXct(sunrise, format = "%H:%M") 44791["ss"] <- as.POSIXct(sunset, format = "%H:%M") 44791["timestamp"] <- align.time(44791$sunrise, 60*10) 44791 <- 44791[c("timestamp", "sr", "ss")] locsrss <- ggplot(44791, aes(x=44791$timestamp)) + geom_line(aes(y=44791$sr)) + geom_line(aes(y=44791$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 44791 2023", x = "Datum", y = "Zeit") pdf("44791_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="44791_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() 44791["Sonnenaufgang"] <- strftime(44791$sr, format="%H:%M") 44791["Sonnenuntergang"] <- strftime(44791$ss, format="%H:%M") write.table(44791, file="44791_SaSu.csv", dec=',', sep=';', row.names=FALSE)