Print methods for quanteda core objects
Print method for quanteda objects. In each max_n*
option, 0 shows none, and
-1 shows all.
## S3 method for class 'corpus' print( x, max_ndoc = quanteda_options("print_corpus_max_ndoc"), max_nchar = quanteda_options("print_corpus_max_nchar"), show_summary = quanteda_options("print_corpus_summary"), ... ) ## S4 method for signature 'dfm' print( x, max_ndoc = quanteda_options("print_dfm_max_ndoc"), max_nfeat = quanteda_options("print_dfm_max_nfeat"), show_summary = quanteda_options("print_dfm_summary"), ... ) ## S4 method for signature 'dictionary2' print( x, max_nkey = quanteda_options("print_dictionary_max_nkey"), max_nval = quanteda_options("print_dictionary_max_nval"), show_summary = quanteda_options("print_dictionary_summary"), ... ) ## S4 method for signature 'fcm' print( x, max_nfeat = quanteda_options("print_dfm_max_nfeat"), show_summary = TRUE, ... ) ## S3 method for class 'kwic' print( x, max_nrow = quanteda_options("print_kwic_max_nrow"), show_summary = quanteda_options("print_kwic_summary"), ... ) ## S3 method for class 'tokens' print( x, max_ndoc = quanteda_options("print_tokens_max_ndoc"), max_ntoken = quanteda_options("print_tokens_max_ntoken"), show_summary = quanteda_options("print_tokens_summary"), ... )
x |
the object to be printed |
max_ndoc |
max number of documents to print; default is from the
|
max_nchar |
max number of tokens to print; default is from the
|
show_summary |
print a brief summary indicating the number of documents and other characteristics of the object, such as docvars or sparsity. |
... |
not used |
max_nfeat |
max number of features to print; default is from the
|
max_nkey |
max number of keys to print; default is from the
|
max_nval |
max number of values to print; default is from the
|
max_nrow |
max number of documents to print; default is from the
|
max_ntoken |
max number of tokens to print; default is from the
|
corp <- corpus(data_char_ukimmig2010) print(corp, max_ndoc = 3, max_nchar = 40) toks <- tokens(corp) print(toks, max_ndoc = 3, max_ntoken = 6) dfmat <- dfm(toks) print(dfmat, max_ndoc = 3, max_nfeat = 10)
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