Blocking and Randomization for Experimental Design

accept_leftmost_improvement | Alternative acceptance function for multi-dimensional scores... |

accept_strict_improvement | Default acceptance function. Accept current score if and only... |

all_equal_df | Compare two data.frames. |

assign_from_table | Distributes samples based on a sample sheet. |

assign_in_order | Distributes samples in order. |

assign_random | Assignment function which distributes samples randomly. |

BatchContainer | R6 Class representing a batch container. |

BatchContainerDimension | R6 Class representing a batch container dimension. |

batch_container_from_table | Creates a BatchContainer from a table... |

compile_possible_subgroup_allocation | Compile list of all possible ways to assign levels of the... |

complete_random_shuffling | Reshuffle sample indices completely randomly |

designit-package | designit: Blocking and Randomization for Experimental Design |

dot-datatable.aware | Show that the package is designed to rely on data.table... |

drop_order | Drop highest order interactions |

extract_shuffle_params | Extract relevant parameters from a generic shuffle function... |

find_possible_block_allocations | Internal function to generate possible subgroup combinations... |

first_score_only | Aggregation of scores: take first (primary) score only |

form_homogeneous_subgroups | Form groups and subgroups of 'homogeneous' samples as defined... |

generate_terms | Generate 'terms.object' (formula with attributes) |

get_order | Get highest order interaction |

invivo_study_samples | A sample list from an in vivo experiment with multiple... |

invivo_study_treatments | A treatment list together with additional constraints on the... |

L1_norm | Aggregation of scores: L1 norm |

L2s_norm | Aggregation of scores: L2 norm squared |

locations_table_from_dimensions | Create locations table from dimensions and exclude table |

longitudinal_subject_samples | Subject sample list with group and time plus controls |

make_colnames | Make matrix column names unique. |

mk_autoscale_function | Create a function that transforms a current... |

mk_constant_swapping_function | Create function to propose n pairwise swaps of samples on... |

mk_dist_matrix | Internal helper function to set up an (n m) x (n m) pairwise... |

mk_exponentially_weighted_acceptance_func | Alternative acceptance function for multi-dimensional scores... |

mk_plate_scoring_functions | Create a list of scoring functions (one per plate) that... |

mk_simanneal_acceptance_func | Generate acceptance function for an optimization protocol... |

mk_simanneal_temp_func | Create a temperature function that returns the annealing... |

mk_subgroup_shuffling_function | Created a shuffling function that permutes samples within... |

mk_swapping_function | Create function to propose swaps of samples on each call,... |

multi_trt_day_samples | Unbalanced treatment and time sample list |

optimize_design | Generic optimizer that can be customized by user provided... |

optimize_multi_plate_design | Convenience wrapper to optimize a typical multi-plate design |

osat_score | Compute OSAT score for sample assignment. |

osat_score_generator | Convenience wrapper for the OSAT score |

pairwise_swapping | Proposes pairwise swap of samples on each call. |

plate_effect_example | Example dataset with a plate effect |

plot_plate | Plot plate layouts |

random_score_variances | Estimate the variance of individual scores by a series of... |

report_scores | Helper function to print out one set of scores plus (if... |

sample_random_scores | Sample scores from a number of completely random sample... |

shrink_mat | Shrinks a matrix with scores and adds an iteration column. |

shuffle_grouped_data | Generate in one go a shuffling function that produces... |

shuffle_with_constraints | Shuffling proposal function with constraints. |

shuffle_with_subgroup_formation | Compose shuffling function based on already available... |

simanneal_acceptance_prob | Acceptance probability for a new solution |

sum_scores | Aggregation of scores: sum up all individual scores |

update_batchcontainer | Updates a batch container by permuting samples according to a... |

validate_samples | Validates sample data.frame. |

validate_subgrouping_object | Validate subgroup object and stop with error message if not... |

worst_score | Aggregation of scores: take the maximum (i.e. worst score... |

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