Hello,
i want to fragment data into factors. After that i want standardize my data (global_mean / standard deviation).
Are their possibilities to fragment data into factors and standardize them?
regards
Hagen
Hi,
You could use a series of row filters to separate a dataset by column values. If you need to separate on multiple columns you can try using the column combiner node and column transformations for criteria different then ==. You could then use the normalizer node.
If you haven’t already download Knime and take a look around. There is a handy “Node Description” pane, which will display the node documentation when a node is selected. The configuration panes for most nodes are fairly self-explanatory as well.
Hope this helps.
Jay