R: Design Experiments for Batches

# Design Experiments for Batches

## Documentation for package ‘experDesign’ version 0.4.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

experDesign-package | experDesign: Expert experiment design in batches
batch_names | Name the batch
check_data | Check experiment data
check_index | Check index distribution on batches
compare_index | Compares two indexes
create_subset | Create index of subsets of a data
design | Design a batch experiment
distribution | Distribution by batch
entropy | Calculates the entropy
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
experDesign | experDesign: Expert experiment design in batches
extreme_cases | Select the subset of extreme cases to evaluation
follow_up | Follow up experiments
follow_up2 | Follow up experiments in batches
inspect | Inspect the index
optimum | Optimum values for batches
optimum_batches | Optimum values for batches
optimum_subset | Optimum values for batches
position_name | Create position names for a grid.
qcSubset | Random subset
replicates | Design a batch experiment with experimental controls
sizes_batches | Optimum values for batches
spatial | Distribute the sample on the plate
use_index | Convert a factor to index
valid_followup | Check the data for a follow up experiment.