Get a table of Gutenberg work metadata that has been filtered by some common (settable) defaults, along with the option to add additional filters. This function is for convenience when working with common conditions when pulling a set of books to analyze. For more detailed filtering of the entire Project Gutenberg metadata, use the gutenberg_metadata and related datasets.
gutenberg_works(
...,
languages = "en",
only_text = TRUE,
rights = c("Public domain in the USA.", "None"),
distinct = TRUE,
all_languages = FALSE,
only_languages = TRUE
)
Additional filters, given as expressions using the variables
in the gutenberg_metadata dataset (e.g. author == "Austen, Jane"
)
Vector of languages to include
Whether the works must have Gutenberg text attached. Works
without text (e.g. audiobooks) cannot be downloaded with
gutenberg_download
Values to allow in the rights
field. By default allows
public domain in the US or "None", while excluding works under copyright.
NULL allows any value of Rights
Whether to return only one distinct combination of each title and gutenberg_author_id. If multiple occur (that fulfill the other conditions), it uses the one with the lowest ID
Whether, if multiple languages are given, all of them
need to be present in a work. For example, if c("en", "fr")
are given,
whether only en/fr
as opposed to English or French works should be
returned
Whether to exclude works that have other languages
besides the ones provided. For example, whether to include en/fr
when English works are requested
A tbl_df (see the tibble or dplyr packages) with one row for each work, in the same format as gutenberg_metadata.
By default, returns
English-language works
That are in text format in Gutenberg (as opposed to audio)
Whose text is not under copyright
At most one distinct field for each title/author pair
# NOT RUN {
library(dplyr)
gutenberg_works()
# filter conditions
gutenberg_works(author == "Shakespeare, William")
# language specifications
gutenberg_works(languages = "es") %>%
count(language, sort = TRUE)
gutenberg_works(languages = c("en", "es")) %>%
count(language, sort = TRUE)
gutenberg_works(languages = c("en", "es"), all_languages = TRUE) %>%
count(language, sort = TRUE)
gutenberg_works(languages = c("en", "es"), only_languages = FALSE) %>%
count(language, sort = TRUE)
# }
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