library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Crianlarich <- sunrise.set(56.393475,-4.618572, "2022/01/01", timezone="MET", num.days=370) sunrise <- Crianlarich$sunrise sunset <- Crianlarich$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Crianlarich["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Crianlarich["ss"] <- as.POSIXct(sunset, format = "%H:%M") Crianlarich["timestamp"] <- align.time(Crianlarich$sunrise, 60*10) Crianlarich <- Crianlarich[c("timestamp", "sr", "ss")] locsrss <- ggplot(Crianlarich, aes(x=Crianlarich$timestamp)) + geom_line(aes(y=Crianlarich$sr)) + geom_line(aes(y=Crianlarich$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Crianlarich 2022", x = "Datum", y = "Zeit") pdf("Crianlarich_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Crianlarich_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Crianlarich["Sonnenaufgang"] <- strftime(Crianlarich$sr, format="%H:%M") Crianlarich["Sonnenuntergang"] <- strftime(Crianlarich$ss, format="%H:%M") write.table(Crianlarich, file="Crianlarich_SaSu.csv", dec=',', sep=';', row.names=FALSE)