library(lubridate) library(ggplot2) library(StreamMetabolism) library(xts) library(reshape) library(scales) Essenheim <- sunrise.set(49.92812954782584,8.15408706665039, "2021/01/01", timezone="MET", num.days=370) sunrise <- Essenheim$sunrise sunset <- Essenheim$sunset sunrise <- strftime(sunrise, format="%R", tz="MET") sunset <- strftime(sunset, format="%R", tz="MET") Essenheim["sr"] <- as.POSIXct(sunrise, format = "%H:%M") Essenheim["ss"] <- as.POSIXct(sunset, format = "%H:%M") Essenheim["timestamp"] <- align.time(Essenheim$sunrise, 60*10) Essenheim <- Essenheim[c("timestamp", "sr", "ss")] locsrss <- ggplot(Essenheim, aes(x=Essenheim$timestamp)) + geom_line(aes(y=Essenheim$sr)) + geom_line(aes(y=Essenheim$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Essenheim 2021", x = "Datum", y = "Zeit") pdf("Essenheim_SA_SU.pdf", paper="a4r", width=11) locsrss dev.off() png(filename="Essenheim_SA_SU.png", width = 1400, height = 800, units = "px") locsrss dev.off() Essenheim["Sonnenaufgang"] <- strftime(Essenheim$sr, format="%H:%M") Essenheim["Sonnenuntergang"] <- strftime(Essenheim$ss, format="%H:%M") write.table(Essenheim, file="Essenheim_SaSu.csv", dec=',', sep=';', row.names=FALSE)