The lag option L in this node is useful for time series prediction. If the rows are sorted in time increasing order, to apply a lag L to the selected column means to place L-1 past values of the column and the current value of the column on one row.The data table can then be used for time series prediction.
The lag interval option I (periodicity or seasonality) in this node is useful to compare values from the past to the current values. Again if the rows are sorted in time increasing order, to apply a lag interval I means to set aside on the same row the current value and the value occurring I steps before.
L and I can be combined to obtain L-1 copies of the selected column, each one shifted I, 2*I, 3*I, ... (L-1)*I steps backwards.
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.
A zipped version of the software site can be downloaded here.
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to email@example.com, follow @NodePit on Twitter, or chat on Gitter!
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.