This is an underlying function for textstat_dist and
textstat_simil but returns TsparseMatrix.
textstat_proxy( x, y = NULL, margin = c("documents", "features"), method = c("cosine", "correlation", "jaccard", "ejaccard", "dice", "edice", "hamman", "simple matching", "euclidean", "chisquared", "hamming", "kullback", "manhattan", "maximum", "canberra", "minkowski"), p = 2, min_proxy = NULL, rank = NULL, use_na = FALSE )
| x | a dfm objects; |
|---|---|
| y | if a dfm object is provided, proximity between documents or
features in |
| margin | identifies the margin of the dfm on which similarity or
difference will be computed: |
| method | character; the method identifying the similarity or distance measure to be used; see Details. |
| p | The power of the Minkowski distance. |
| min_proxy | the minimum proximity value to be recoded. |
| rank | an integer value specifying top-n most proximity values to be recorded. |
| use_na | if |