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Creates a table of the most frequently-occurring n-grams within the data. Optionally, weights can be provided either through a `weight` column in the formatted data, or from a `svydesign` object with the raw (preformatted) data. Equivalent to `fst_get_top_ngrams` but doesn't print message about ties.
fst_ngrams_table2(
data,
number = 10,
ngrams = 1,
norm = NULL,
pos_filter = NULL,
strict = TRUE,
use_svydesign_weights = FALSE,
id = "",
svydesign = NULL,
use_column_weights = FALSE
)A table of the most frequently occurring n-grams in the data.
A dataframe of text in CoNLL-U format, with optional additional columns.
The number of n-grams to return, default is `10`.
The type of n-grams to return, default is `1`.
The method for normalising the data. Valid settings are `"number_words"` (the number of words in the responses, default), `"number_resp"` (the number of responses), or `NULL` (raw count returned).
List of UPOS tags for inclusion, default is `NULL` which means all word types included.
Whether to strictly cut-off at `number` (ties are alphabetically ordered), default is `TRUE`.
Option to weight words in the table using weights from a `svydesign` containing the raw data, default is `FALSE`
ID column from raw data, required if `use_svydesign_weights = TRUE` and must match the `docid` in formatted `data`.
A `svydesign` which contains the raw data and weights, required if `use_svydesign_weights = TRUE`.
Option to weight words in the table using weights from formatted data which includes addition `weight` column, default is `FALSE`
fst_ngrams_table2(fst_child, norm = NULL)
fst_ngrams_table2(fst_child, ngrams = 2, norm = "number_resp")
c <- fst_child_2
s <- survey::svydesign(id=~1, weights= ~paino, data = child)
i <- 'fsd_id'
T <- TRUE
fst_ngrams_table2(c, 10, 2, use_svydesign_weights = T, svydesign = s, id = i)
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