View source: R/02_data_exploration.R
fst_freq | R Documentation |
Creates a plot of the most frequently-occurring words (unigrams) 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.
fst_freq(
data,
number = 10,
norm = NULL,
pos_filter = NULL,
strict = TRUE,
name = NULL,
use_svydesign_weights = FALSE,
id = "",
svydesign = NULL,
use_column_weights = FALSE
)
data |
A dataframe of text in CoNLL-U format, with optional additional columns. |
number |
The number of top words to return, default is '10'. |
norm |
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). |
pos_filter |
List of UPOS tags for inclusion, default is 'NULL' which means all word types included. |
strict |
Whether to strictly cut-off at 'number' (ties are alphabetically ordered), default is 'TRUE'. |
name |
An optional "name" for the plot to add to title, default is 'NULL'. |
use_svydesign_weights |
Option to weight words in the plot using weights from a 'svydesign' containing the raw data, default is 'FALSE' |
id |
ID column from raw data, required if 'use_svydesign_weights = TRUE' and must match the 'docid' in formatted 'data'. |
svydesign |
A 'svydesign' which contains the raw data and weights, required if 'use_svydesign_weights = TRUE'. |
use_column_weights |
Option to weight words in the plot using weights from formatted data which includes addition 'weight' column, default is 'FALSE' |
Plot of top words.
fst_freq(fst_child, number = 12, norm = 'number_resp', name = "All")
fst_freq(fst_child, use_column_weights = TRUE)
s <- survey::svydesign(id=~1, weights= ~paino, data = child)
i <- 'fsd_id'
fst_freq(fst_child_2, use_svydesign_weights = TRUE, svydesign = s, id = i)
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