library(forecast)
data11 = read.table("D:\\FSU-school\\statapp2\\project\\4-17\\data9.txt", header=TRUE)
attach(data11)
detach(data11)

data1_ts = ts(data11, start=c(2004, 4), frequency = 365)
data1_ts
plot.ts(data1_ts)

y = auto.arima(data1_ts)