Design Experiments for Batches
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Documentation for package ‘experDesign’ version 0.4.0
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| 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. |