Reputation: 19803
I would like to compute a simple acf
in R. For example, consider:
v = acf(1:10, plot=F)
v
now contains an element called lag
which is a 3-dim array containing the last used in the estimation. How come this array is 3 dimensional and not simply 1 dimensional? I am asking because I would like to foresee exactly what will be in each dimension depending on the use-case.
Upvotes: 0
Views: 1365
Reputation: 12664
You can have more than one column in your input data.
Try:
v = acf(data.frame(x=rnorm(10), y=rnorm(10)), plot=F)
then you get an array. I believe this is used for multivariate time series
Upvotes: 1