Computes various measures based on autocorrelation coefficients of the original series, first-differenced series and second-differenced series
a univariate time series
A vector of 6 values: first autocorrelation coefficient and sum of squared of first ten autocorrelation coefficients of original series, first-differenced series, and twice-differenced series. For seasonal data, the autocorrelation coefficient at the first seasonal lag is also returned.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.