| details | R Documentation |
This method zooms in on details of an object x based on an item y.
When x is of class slma (currently the only supported class),
y must be one of the lexical markers described in it.
details(x, y, ...) ## S3 method for class 'slma' details(x, y, shorten_names = TRUE, ...)
x |
An object containing global statistics for a collection of linguistic units,
such as an object of class |
y |
A character vector of length one representing one linguistic item. |
... |
Additional arguments. |
shorten_names |
Logical. If |
An object with details. When x is of class slma,
the class of the output is details.slma, namely a list with the following items:
summary: The row of x$scores corresponding to y.
scores (what is printed by default), a dataframe with one row per
pair of documents in the slma and the frequencies and association scores of
the chosen item as columns.
item: the value of y.
sig_cutoff and small_pos, as defined in slma.
a_corp <- get_fnames(system.file("extdata", "cleveland", package = "mclm"))
b_corp <- get_fnames(system.file("extdata", "roosevelt", package = "mclm"))
slma_ex <- slma(a_corp, b_corp, keep_intermediate = TRUE)
gov <- details(slma_ex, "government")
gov$summary
# A bit of tidy manipulation to shorten filenames
if (require("dplyr") && require("tidyr")) {
as_tibble(gov, rownames = "files") %>%
tidyr::separate(files, into = c("file_A", "file_B"), sep = "--") %>%
dplyr::mutate(dplyr::across(dplyr::starts_with("file"), short_names))
}
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