Creates a table 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.
Usage
fst_freq_table(
data,
number = 10,
norm = NULL,
pos_filter = NULL,
strict = TRUE,
use_svydesign_weights = FALSE,
id = "",
svydesign = NULL,
use_column_weights = FALSE
)Arguments
- 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), `"number_resp"` (the number of responses), or `NULL` (raw count returned, default, also used when weights are applied).
- 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`.
- use_svydesign_weights
Option to weight words in the table 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 table using weights from formatted data which includes addition `weight` column, default is `FALSE`
Examples
pf <- c("NOUN", "VERB", "ADJ", "ADV")
pf2 <- "NOUN, VERB, ADJ, ADV"
fst_freq_table(fst_child, number = 15, strict = FALSE, pos_filter = pf)
#> Note:
#> Words with equal occurrence are presented in alphabetical order.
#> With `strict` = FALSE, words occurring equally often as the `number` cutoff word will be displayed.
#>
#> words occurrence
#> 1 lyödä 71
#> 2 lyöminen 53
#> 3 paha 42
#> 4 sanoa 33
#> 5 tehdä 33
#> 6 tietää 32
#> 7 tulla 29
#> 8 ottaa 28
#> 9 potkia 27
#> 10 kiusata 26
#> 11 potkiminen 24
#> 12 haukkua 22
#> 13 kaveri 22
#> 14 töniminen 22
#> 15 toinen 17
#> 16 tyhmä 17
#> 17 tönia 17
fst_freq_table(fst_child, number = 15, strict = FALSE, pos_filter = pf2)
#> Note:
#> Words with equal occurrence are presented in alphabetical order.
#> With `strict` = FALSE, words occurring equally often as the `number` cutoff word will be displayed.
#>
#> words occurrence
#> 1 lyödä 71
#> 2 lyöminen 53
#> 3 paha 42
#> 4 sanoa 33
#> 5 tehdä 33
#> 6 tietää 32
#> 7 tulla 29
#> 8 ottaa 28
#> 9 potkia 27
#> 10 kiusata 26
#> 11 potkiminen 24
#> 12 haukkua 22
#> 13 kaveri 22
#> 14 töniminen 22
#> 15 toinen 17
#> 16 tyhmä 17
#> 17 tönia 17
fst_freq_table(fst_child, norm = 'number_words')
#> Note:
#> Words with equal occurrence are presented in alphabetical order.
#> By default, words are presented in order to the `number` cutoff word.
#> This means that equally-occurring later-alphabetically words beyond the cutoff word will not be displayed.
#>
#> words occurrence
#> 1 toinen 0.075
#> 2 lyödä 0.045
#> 3 lyöminen 0.034
#> 4 joku 0.029
#> 5 paha 0.027
#> 6 tehdä 0.022
#> 7 sanoa 0.021
#> 8 tietää 0.020
#> 9 jokin 0.019
#> 10 tulla 0.019
fst_freq_table(fst_child, use_column_weights = TRUE)
#> Note:
#> Words with equal occurrence are presented in alphabetical order.
#> By default, words are presented in order to the `number` cutoff word.
#> This means that equally-occurring later-alphabetically words beyond the cutoff word will not be displayed.
#>
#> words occurrence
#> 1 toinen 17538.566
#> 2 lyödä 10472.019
#> 3 lyöminen 7837.492
#> 4 joku 6794.576
#> 5 paha 6329.575
#> 6 tehdä 5056.231
#> 7 sanoa 4865.005
#> 8 tietää 4677.499
#> 9 jokin 4484.374
#> 10 tulla 4402.931
c2 <- fst_child_2
s <- survey::svydesign(id=~1, weights= ~paino, data = child)
i <- 'fsd_id'
fst_freq_table(c2, use_svydesign_weights = TRUE, svydesign = s, id = i)
#> Note:
#> Words with equal occurrence are presented in alphabetical order.
#> By default, words are presented in order to the `number` cutoff word.
#> This means that equally-occurring later-alphabetically words beyond the cutoff word will not be displayed.
#>
#> words occurrence
#> 1 toinen 17538.566
#> 2 lyödä 10472.019
#> 3 lyöminen 7837.492
#> 4 joku 6794.576
#> 5 paha 6329.575
#> 6 tehdä 5056.231
#> 7 sanoa 4865.005
#> 8 tietää 4677.499
#> 9 jokin 4484.374
#> 10 tulla 4402.931