This function computes the \(\mathit{NET}\) parameter (Esper et
al., 2001). The overall \(\mathit{NET}\) is an average of all
(non-NA
) yearly values \(\mathit{NET_j}\), which are
computed as follows:
$$\mathit{NET_j}=v_j+(1-G_j)$$
The yearly variation \(v_j\) is the standard deviation of the
measurements of a single year divided by their mean.
Gegenl<U+00E4>ufigkeit \(1-G_j\) is based
on one definition of Gleichl<U+00E4>ufigkeit
\(G_j\), similar to but not the same as what glk
computes. Particularly, in the formula used by this function (Esper
et al., 2001), simultaneous zero differences in two series are not
counted as a synchronous change.
The weights of \(v_j\) and \(1-G_j\) in the sum can
be adjusted with the argument weights
(see above). As a
rather extreme example, it is possible to isolate variation or
Gegenl<U+00E4>ufigkeit by setting one of the weights
to zero (see ‘Examples’).