Function reference • experDesign

Main functions

check_data(): Check experiment data

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

Follow up

Extending an experiment with new samples

follow_up(): Follow up experiments

follow_up2(): Follow up experiments in batches

valid_followup(): Check the data for a follow up experiment.

Other

position_name(): Create position names for a grid.

create_subset(): Create index of subsets of a data

compare_index(): Compares two indexes

entropy(): Calculates the entropy

qcSubset(): Random subset

extreme_cases(): Select the subset of extreme cases to evaluation

experDesign-package experDesign: experDesign: Expert experiment design in batches