Man pages for koheiw/quanteda.core
Quantitative Analysis of Textual Data
| as.corpus | coerce a compressed corpus to a standard corpus |
| as.data.frame.dfm | Convert a dfm to a data.frame |
| as.dfm | Coercion and checking functions for dfm objects |
| as.dictionary | Coercion and checking functions for dictionary objects |
| as.fcm | Coercion and checking functions for fcm objects |
| as.matrix.dfm | Coerce a dfm to a matrix or data.frame |
| as.matrix.textstat_simil_sparse | as.matrix method for textstat_simil_sparse |
| as.tokens | Coercion, checking, and combining functions for tokens... |
| as.yaml | Convert quanteda dictionary objects to the YAML format |
| attributes-set | Function extending base::attributes() |
| cbind.dfm | Combine dfm objects by Rows or Columns |
| char_tolower | Convert the case of character objects |
| convert | Convert quanteda objects to non-quanteda formats |
| convert-wrappers | Convenience wrappers for dfm convert |
| corpus | Construct a corpus object |
| corpus-class | Base method extensions for corpus objects |
| corpus_reshape | Recast the document units of a corpus |
| corpus_sample | Randomly sample documents from a corpus |
| corpus_segment | Segment texts on a pattern match |
| corpus_subset | Extract a subset of a corpus |
| corpus_trim | Remove sentences based on their token lengths or a pattern... |
| corpus_trimsentences | Remove sentences based on their token lengths or a pattern... |
| create | Function to assign multiple slots to a S4 object |
| data_char_sampletext | A paragraph of text for testing various text-based functions |
| data_char_ukimmig2010 | Immigration-related sections of 2010 UK party manifestos |
| data_corpus_inaugural | US presidential inaugural address texts |
| data_dfm_lbgexample | dfm from data in Table 1 of Laver, Benoit, and Garry (2003) |
| data_dictionary_LSD2015 | Lexicoder Sentiment Dictionary (2015) |
| data-internal | Internal data sets |
| data-relocated | Formerly included data objects |
| dfm | Create a document-feature matrix |
| dfm2lsa | Convert a dfm to an lsa "textmatrix" |
| dfm-class | Virtual class "dfm" for a document-feature matrix |
| dfm_compress | Recombine a dfm or fcm by combining identical dimension... |
| dfm_group | Combine documents in a dfm by a grouping variable |
| dfm-internal | Internal functions for dfm objects |
| dfm_lookup | Apply a dictionary to a dfm |
| dfm_match | Match the feature set of a dfm to given feature names |
| dfm_replace | Replace features in dfm |
| dfm_sample | Randomly sample documents or features from a dfm |
| dfm_select | Select features from a dfm or fcm |
| dfm_sort | Sort a dfm by frequency of one or more margins |
| dfm_subset | Extract a subset of a dfm |
| dfm_tfidf | Weight a dfm by _tf-idf_ |
| dfm_tolower | Convert the case of the features of a dfm and combine |
| dfm_trim | Trim a dfm using frequency threshold-based feature selection |
| dfm_weight | Weight the feature frequencies in a dfm |
| diag2na | convert same-value pairs to NA in a textstat_proxy object |
| dictionary | Create a dictionary |
| dictionary-class | dictionary class objects and functions |
| docfreq | Compute the (weighted) document frequency of a feature |
| docnames | Get or set document names |
| docvars | Get or set document-level variables |
| escape_regex | Internal function for 'select_types()' to escape regular... |
| expand | Simpler and faster version of expand.grid() in base package |
| fcm | Create a feature co-occurrence matrix |
| fcm-class | Virtual class "fcm" for a feature co-occurrence matrix |
| fcm_sort | Sort an fcm in alphabetical order of the features |
| featfreq | Compute the frequencies of features |
| featnames | Get the feature labels from a dfm |
| field_system | Shortcut functions to access or assign metadata |
| flatten_dictionary | Flatten a hierarchical dictionary into a list of character... |
| format_sparsity | format a sparsity value for printing |
| friendly_class_undefined_message | Print friendly object class not defined message |
| generate_groups | Generate a grouping vector from docvars |
| get_docvars | Internal function to extract docvars |
| get_object_version | Get the package version that created an object |
| groups | Grouping variable(s) for various functions |
| head.corpus | Return the first or last part of a corpus |
| head.dfm | Return the first or last part of a dfm |
| head.textstat_proxy | Return the first or last part of a textstat_proxy object |
| is_glob | Check if patterns contains glob wildcard |
| is_indexed | Check if a glob pattern is indexed by index_types |
| is_regex | Internal function for 'select_types()' to check if a string... |
| keyness | Compute keyness (internal functions) |
| kwic | Locate keywords-in-context |
| list2dictionary | Internal function to convert a list to a dictionary |
| lowercase_dictionary_values | Internal function to lowercase dictionary values |
| make_meta | Internal functions to create a list for the meta attribute |
| matrix2dfm | Converts a Matrix to a dfm |
| matrix2fcm | Converts a Matrix to a fcm |
| merge_dictionary_values | Internal function to merge values of duplicated keys |
| message_error | Return an error message |
| meta | Get or set object metadata |
| metadoc | Get or set document-level meta-data |
| meta_system | Internal function to get, set or initialize system metadata |
| names-quanteda | Special handling for names of quanteda objects |
| ndoc | Count the number of documents or features |
| nest_dictionary | Utility function to generate a nested list |
| nsentence | Count the number of sentences |
| ntoken | Count the number of tokens or types |
| object-builders | Object compilers |
| pattern | Pattern for feature, token and keyword matching |
| pattern2id | Convert regex and glob patterns to type IDs or fixed patterns |
| pattern2list | Convert various input as pattern to a vector used in... |
| phrase | Declare a compound character to be a sequence of separate... |
| pipe | Pipe operator |
| print.phrases | Print a phrase object |
| print-quanteda | Print methods for quanteda core objects |
| quanteda.core-package | An R package for the quantitative analysis of textual data |
| quanteda_options | Get or set package options for quanteda |
| read_dict_functions | Internal functions to import dictionary files |
| reexports | Objects exported from other packages |
| remove_empty_keys | Utility function to remove empty keys |
| replace_dictionary_values | Internal function to replace dictionary values |
| reshape_docvars | Internal function to subset or duplicate docvar rows |
| sample_bygroup | Sample a vector by a group |
| search_glob | Select types without performing slow regex search |
| search_index | Internal function for 'select_types' to search the index... |
| serialize_tokens | Function to serialize list-of-character tokens |
| set_dfm_dimnames | Internal functions to set dimnames |
| set_dfm_slots-set | Set values to a dfm's S4 slots |
| set_fcm_slots-set | Set values to a fcm's S4 slots |
| sparsity | Compute the sparsity of a document-feature matrix |
| split_values | Internal function for special handling of multi-word... |
| summary.corpus | Summarize a corpus |
| textmodels | Models for scaling and classification of textual data |
| texts | Get or assign corpus texts |
| textstat_collocations | Identify and score multi-word expressions |
| textstat_entropy | Compute entropies of documents or features |
| textstat_keyness | Calculate keyness statistics |
| textstat_proxy | [Experimental] Compute document/feature proximity |
| textstat_proxy-class | textstat_simil/dist classes |
| textstat_simil | Similarity and distance computation between documents or... |
| textstat_summary | Summarize documents |
| tokenize_internal | quanteda tokenizers |
| tokens | Construct a tokens object |
| tokens_chunk | Segment tokens object by chunks of a given size |
| tokens_compound | Convert token sequences into compound tokens |
| tokens_group | Recombine documents tokens by groups |
| tokens_lookup | Apply a dictionary to a tokens object |
| tokens_ngrams | Create ngrams and skipgrams from tokens |
| tokens_recompile | recompile a serialized tokens object |
| tokens_replace | Replace tokens in a tokens object |
| tokens_sample | Randomly sample documents from a tokens object |
| tokens_segment | Segment tokens object by patterns |
| tokens_select | Select or remove tokens from a tokens object |
| tokens_split | Split tokens by a separator pattern |
| tokens_subset | Extract a subset of a tokens |
| tokens_tolower | Convert the case of tokens |
| tokens_tortl | [Experimental] Change direction of words in tokens |
| tokens_wordstem | Stem the terms in an object |
| topfeatures | Identify the most frequent features in a dfm |
| types | Get word types from a tokens object |
| unlist_character | Unlist a list of character vectors safely |
| unlist_integer | Unlist a list of integer vectors safely |
| unused_dots | Raise warning of unused dots |
| valuetype | Pattern matching using valuetype |
