Main functions

design()

Design a batch experiment

replicates()

Design a batch experiment with experimental controls

spatial()

Distribute the sample on the plate

batch_names()

Name the batch

use_index()

Convert a factor to index

check_index()

Check index distribution on batches

distribution()

Distribution by batch

inspect()

Inspect the index

Number of batches needed, number of samples per batch…

optimum_batches() optimum_subset() sizes_batches()

Optimum values for batches

Evaluating a batch

Evaluate metrics to distribute the samples

evaluate_entropy()

Evaluate entropy

evaluate_independence()

Compare independence by chisq.test

evaluate_index()

Evaluates a data.frame

evaluate_mad()

Evaluate median absolute deviation

evaluate_mean()

Evaluates the mean of the numeric values

evaluate_na()

Evaluate the dispersion of NAs

evaluate_orig()

Evaluate each variable provided

evaluate_sd()

Evaluates the mean of the numeric values

Other

create_subset()

Create index of subsets of a data

entropy()

Calculates the entropy

qcSubset()

Random subset

extreme_cases()

Select the subset of extreme cases to evaluation

experDesign-package

experDesign: Expert experiment design in batches