angsim_to_cossim | Convert angular similarity to cosine similarity |
angular_similarity | Angular similarity |
average_vector | Calculates and average vector |
bhatt_dist | Bhattacharyya distance |
centre_control | Shift co-ordinates to centre on a compounds centroid |
cosine_pairs | Calculate pairs of cosine similarities between replicates |
cosine_sim | Cosine similarity |
cosine_sim_mat | Creates a cosine similarity matrix |
cosine_sim_vector | Cosine similarity between two vectors |
cossim_to_angsim | Convert cosine similarity to angular similarity |
euclid_dist | Euclidean distance between two vectors |
fold_180 | Constrains numbers to 180 |
get_featuredata | Get featuredata columns |
mahal_dist | Mahalanobis Distance |
manhattan | Manhattan distance between two vectors |
manhattan_norm | Normalised Manhattan distance |
multi_z | Multivariate Z-prime |
norm_vec | norm of a vector |
norm_vector | Calculate the norm (or length) of a vector |
return_features | Return features describing an eigenvector |
r_zscore | Robust Z-score |
scale_features | Scale feature data |
ssmd | Strictly standardised mean difference (SSMD) |
ssmd_effect_message | ssmd effect size description |
theta | Angle between two vectors |
theta0 | Angle between a vector and the origin |
theta0_ | Angle between the vector and the origin |
z_factor | Calculates a Z-factor for two distributions |
z_factor_scan | Multiple z-factor calculations |
zscore | Z-score |
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