Compute pairwise distances between the lemmas, store the distance matrix,
reduce to two dimensions with metaMDS
, store and return summary.
Usage
compLemma(
lemma,
input_dir,
output_dir,
transformed = TRUE,
fun = "euclidean",
tokens_suffix = ".ttmx.dist.pac",
row_selection = vector(),
overwrite = FALSE
)
Arguments
- lemma
Name of the lemma, for the filenames
- input_dir
Directory where the models are stored.
- output_dir
Directory where the model information is and will be stored
- transformed
Whether the distance matrices
- fun
Function to calculate the distances.
- tokens_suffix
Suffix to add to the model name in the file names of the distance matrices.
- row_selection
List of row (and column) names to subset the matrices.
- overwrite
If FALSE and the models.dist file exists, it will not be created again.
Value
a tibble with minimal information