Man pages for momeara/RosettaFeatures
Tools for analyzing macromolecular feature distributions with Rosetta
| compute_quantiles | Compute quantiles for specified 'variable' grouping by 'ids'... |
| cross_validate_statistics | Evaluate a two sample tests between different classes of... |
| date_code | create date code of the form YYMMDD inputs: d (optional):... |
| estimate_primary_modes_1d | For each set of rows grouped by the columns in ids, binary... |
| find_modes_in_density | provides estimate_primary_mode_1d, which estimates the... |
| kolmogorov_smirnov_test | Prefer to use the anderson_darling_2_sample comparison cf... |
| major_long_coords | These the coordinates for the Lambert-Azmuthal plots:... |
| prepare_feature_instances | prepare instances to be viewed in PyMol script to look at... |
| save_tables | Save a data.frame as a table. For each output format,... |
| save_trees | Save a data.frame as a table. For each output format,... |
| sliding_windows | Extract multiple, overlapping subsets of the data based on... |
| smooth_comparison_statistics | Evaluate a two sample tests between different classes of... |
| smooth_kl_divergence | Here the inputs are probabilities over the sample space... |
| spherical_normalization | normalize according to spherical volume unit r, radial... |
| vector_crossprod | input: Two arrays each of dimension c(n, 3) output: An array... |
| vector_dihedral | input: 4 arrays each of dimension c(n, 3) output: An array of... |
| vector_distance | input: two arrays each of dimension c(n, d) each representing... |
| vector_dotprod | input: Two arrays of dimension c(n, d) output: An array of... |
| vector_normalize | input: An array of dimensions c(n, d) output: An array of... |
