Man pages for designit
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... |
