experDesign: Expert experiment design in batches
Source:R/experDesign-package.R
experDesign-package.RdEnables easy distribution of samples per batch avoiding batch and confounding effects by randomization of the variables in each batch.
Details
The most important function is design(), which distributes
samples in batches according to the information provided.
To help in the bench there is the inspect() function that appends
the group to the data provided.
If you have a grid or some spatial data, you might want to look at the
spatial() function to distribute the samples while keeping the original
design.
In case an experiment was half processed and you need to extend it you can
use follow_up() or follow_up2(). It helps selecting which samples
already used should be used in the follow up.