I have created couple of graphs in R
d5 <- scan('d500.txt')
p1 <- acf(d5,lag.max = 36 ,type = c("covariance"),plot = TRUE)
Then the next one is correlation
p1 <- acf(d5,lag.max = 36 ,type = c("correlation"),plot = TRUE)
And pacf
p1 <- pacf(d5,lag.max = 36 ,plot = TRUE)
If I take a one difference operation
d51 <- diff(d5)
p1 <- acf(d51,lag.max = 36 ,type = c("correlation"),plot = TRUE)
And then again acf
and pacf
How to interpret this?What does sinusoidal acf(cov) shows? Original data set is here
