- x
Set of word embeddings from textEmbed.
- y
Set of word embeddings from textEmbed.
- similarity_method
Character string describing type of measure to be computed;
default is "cosine" (see also measures from textDistance (here computed as 1 - textDistance()) including
"euclidean", "maximum", "manhattan", "canberra", "binary" and "minkowski").
- Npermutations
Number of permutations (default 10000).
- method
Compute a "paired" or an "unpaired" test.
- center
(boolean; from base::scale) If center is TRUE then centering is done by subtracting the column means
(omitting NAs) of x from their corresponding columns, and if center is FALSE, no centering is done.
- scale
(boolean; from base::scale) If scale is TRUE then scaling is done by dividing the
(centered) columns of x by their standard deviations if center is TRUE, and the root mean square otherwise.
- alternative
Use a two or one-sided test (select one of: "two_sided", "less", "greater").
- output.permutations
If TRUE, returns permuted values in output.
- N_cluster_nodes
Number of cluster nodes to use (more makes computation faster; see parallel package).
- seed
Set different seed.