Get or set global options affecting functions across quanteda.
quanteda_options(..., reset = FALSE, initialize = FALSE)options to be set, as key-value pair, same as
options(). This may be a list of valid key-value pairs, useful
for setting a group of options at once (see examples).
logical; if TRUE, reset all quanteda options to
their default values
logical; if TRUE, reset only the quanteda
options that are not already defined. Used for setting initial values when
some have been defined previously, such as in .Rprofile.
When called using a key = value pair (where key can be
a label or quoted character name)), the option is set and TRUE is
returned invisibly.
When called with no arguments, a named list of the package options is returned.
When called with reset = TRUE as an argument, all arguments are
options are reset to their default values, and TRUE is returned
invisibly.
Currently available options are:
verboselogical; if TRUE then use this as the default
for all functions with a verbose argument
threadsinteger; specifies the number of threads to use in parallelized functions; defaults to the maximum number of threads
print_dfm_max_ndoc, print_corpus_max_ndoc, print_tokens_max_ndocinteger; specify the number of documents to display when using the defaults for printing a dfm, corpus, or tokens object
print_dfm_max_nfeat, print_corpus_max_nchar, print_tokens_max_ntokeninteger; specifies the number of features to display when printing a dfm, the number of characters to display when printing corpus documents, or the number of tokens to display when printing tokens objects
print_dfm_summaryinteger; specifies the number of documents to display when using the defaults for printing a dfm
print_dictionary_max_nkey, print_dictionary_max_nvalthe number of keys or values (respectively) to display when printing a dictionary
print_kwic_max_nrowthe number of rows to display when printing a kwic object
base_docnamecharacter; stem name for documents that are unnamed when a corpus, tokens, or dfm are created or when a dfm is converted from another object
base_featnamecharacter; stem name for features that are unnamed when they are added, for whatever reason, to a dfm through an operation that adds features
base_compnamecharacter; stem name for components that are created by matrix factorization
language_stemmercharacter; language option for char_wordstem(),
tokens_wordstem(), and dfm_wordstem()
pattern_hashtag, pattern_usernamecharacter; regex patterns for (social media) hashtags and usernames respectively, used to avoid segmenting these in the default internal "word" tokenizer
tokens_block_sizeinteger; specifies the number of documents to be tokenized at a time in blocked tokenization. When the number is large, tokenization becomes faster but also memory-intensive.
tokens_localecharacter; specify locale in stringi boundary detection in
tokenization and corpus reshaping. See stringi::stri_opts_brkiter().
tokens_tokenizer_wordcharacter; the current word tokenizer version
used as a default for what = "word" in tokens(), one of "word1",
"word2", "word3" (same as "word2"), or "word4".
(opt <- quanteda_options())
#> $threads
#> [1] 10
#>
#> $verbose
#> [1] FALSE
#>
#> $print_dfm_max_ndoc
#> [1] 6
#>
#> $print_dfm_max_nfeat
#> [1] 10
#>
#> $print_dfm_summary
#> [1] TRUE
#>
#> $print_corpus_max_ndoc
#> [1] 6
#>
#> $print_corpus_max_nchar
#> [1] 60
#>
#> $print_corpus_summary
#> [1] TRUE
#>
#> $print_tokens_max_ndoc
#> [1] 6
#>
#> $print_tokens_max_ntoken
#> [1] 12
#>
#> $print_tokens_summary
#> [1] TRUE
#>
#> $print_dictionary_max_nkey
#> [1] 6
#>
#> $print_dictionary_max_nval
#> [1] 20
#>
#> $print_dictionary_summary
#> [1] TRUE
#>
#> $print_kwic_max_nrow
#> [1] 1000
#>
#> $print_kwic_summary
#> [1] TRUE
#>
#> $base_docname
#> [1] "text"
#>
#> $base_featname
#> [1] "feat"
#>
#> $base_compname
#> [1] "comp"
#>
#> $language_stemmer
#> [1] "english"
#>
#> $pattern_hashtag
#> [1] "#[\\p{L}\\p{N}_]+#?"
#>
#> $pattern_username
#> [1] "@[a-zA-Z0-9_]+"
#>
#> $tokens_block_size
#> [1] 100000
#>
#> $tokens_locale
#> [1] "en_US@ss=standard"
#>
#> $tokens_tokenizer_word
#> [1] "word4"
#>
# \donttest{
quanteda_options(verbose = TRUE)
quanteda_options("verbose" = FALSE)
quanteda_options("threads")
#> [1] 10
quanteda_options(print_dfm_max_ndoc = 50L)
# reset to defaults
quanteda_options(reset = TRUE)
# reset to saved options
quanteda_options(opt)
# }