print-methods | R Documentation |
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. |
... |
passed to |
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
|
quanteda_options()
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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