Apply compute_logratios_facet_wide_at() to
data in pairs of facet values, then do post-processing for sentiments.
compute_sentratios_facet_by2_at(data = NULL, func = compute_logratios_facet_wide_at, token = NULL, facet = NULL, xy_grid, xy_nms, cnt_min = 10, lexicon = "bing", ...) compute_sentratios_facet_by2(..., token, facet)
| data | data.frame. Data to apply a function over. |
|---|---|
| func | function. Wrapped by |
| token | bare for NSE; character for SE. Name of column in |
| facet | character. Name of column in |
| xy_grid | data.frame. Output from |
| xy_nms | character (vector). Values to use to create a 'grid' of all combinations of values. |
| cnt_min | numeric. If not null, serves as a filter for which to compute log ratios. |
| lexicon | character. Specifies lexicon to use. Must be a lexicon available in the |
| ... | dots. Adddition parameters to pass to |
data.frame.
Calls wrapper_func internally. This function is very
similar to compute_sentratios_facet_by2_at(), but with some post-processing.
Note that ... are passed to get_sents() here (instead of to
compute_logratios_facet_wide_at(), so token and cnt_min must
be checked for NULL explicilty.