library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Börsmode <- sunrise.set(55.75813650376032,8.269036565442775, "2021/01/01", timezone="MET", num.days=370)
sunrise <- Börsmode$sunrise
sunset <- Börsmode$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Börsmode["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Börsmode["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Börsmode["timestamp"] <- align.time(Börsmode$sunrise, 60*10)
Börsmode <- Börsmode[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Börsmode, aes(x=Börsmode$timestamp)) + geom_line(aes(y=Börsmode$sr)) + geom_line(aes(y=Börsmode$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Börsmode 2021", x = "Datum", y = "Zeit")
pdf("Börsmode_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Börsmode_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Börsmode["Sonnenaufgang"] <- strftime(Börsmode$sr, format="%H:%M")
Börsmode["Sonnenuntergang"] <- strftime(Börsmode$ss, format="%H:%M")
write.table(Börsmode, file="Börsmode_SaSu.csv", dec=',', sep=';', row.names=FALSE)