kRp.corpus_get-methods: Getter/setter methods for kRp.corpus objects

In unDocUMeantIt/tm.plugin.koRpus: Full Corpus Support for the 'koRpus' Package

Description

These methods should be used to get or set values of text objects generated by functions like readCorpus.

Usage

## S4 method for signature 'kRp.corpus'
taggedText(obj)

## S4 replacement method for signature 'kRp.corpus'
taggedText(obj) <- value

## S4 method for signature 'kRp.corpus'
doc_id(obj, has_id = NULL)

## S4 method for signature 'kRp.corpus'
describe(obj, doc_id = NULL, simplify = TRUE, ...)

## S4 replacement method for signature 'kRp.corpus'
describe(obj, doc_id = NULL, ...) <- value

## S4 method for signature 'kRp.corpus'
language(obj)

## S4 replacement method for signature 'kRp.corpus'
language(obj) <- value

## S4 method for signature 'kRp.corpus'
hasFeature(obj, feature = NULL)

## S4 replacement method for signature 'kRp.corpus'
hasFeature(obj, feature) <- value

## S4 method for signature 'kRp.corpus'
feature(obj, feature, doc_id = NULL)

## S4 replacement method for signature 'kRp.corpus'
feature(obj, feature) <- value

## S4 method for signature 'kRp.corpus'
corpusReadability(obj, doc_id = NULL)

## S4 replacement method for signature 'kRp.corpus'
corpusReadability(obj) <- value

corpusTm(obj)

## S4 method for signature 'kRp.corpus'
corpusTm(obj)

corpusTm(obj) <- value

## S4 replacement method for signature 'kRp.corpus'
corpusTm(obj) <- value

corpusMeta(obj, meta = NULL, fail = TRUE)

## S4 method for signature 'kRp.corpus'
corpusMeta(obj, meta = NULL, fail = TRUE)

corpusMeta(obj, meta = NULL) <- value

## S4 replacement method for signature 'kRp.corpus'
corpusMeta(obj, meta = NULL) <- value

## S4 method for signature 'kRp.corpus'
corpusHyphen(obj, doc_id = NULL)

## S4 replacement method for signature 'kRp.corpus'
corpusHyphen(obj) <- value

## S4 method for signature 'kRp.corpus'
corpusLexDiv(obj, doc_id = NULL)

## S4 replacement method for signature 'kRp.corpus'
corpusLexDiv(obj) <- value

## S4 method for signature 'kRp.corpus'
corpusFreq(obj)

## S4 replacement method for signature 'kRp.corpus'
corpusFreq(obj) <- value

## S4 method for signature 'kRp.corpus'
corpusCorpFreq(obj)

## S4 replacement method for signature 'kRp.corpus'
corpusCorpFreq(obj) <- value

corpusHierarchy(obj, ...)

## S4 method for signature 'kRp.corpus'
corpusHierarchy(obj)

corpusHierarchy(obj) <- value

## S4 replacement method for signature 'kRp.corpus'
corpusHierarchy(obj) <- value

corpusFiles(obj, paths = FALSE, ...)

## S4 method for signature 'kRp.corpus'
corpusFiles(obj, paths = FALSE)

corpusFiles(obj) <- value

## S4 replacement method for signature 'kRp.corpus'
corpusFiles(obj) <- value

corpusDocTermMatrix(obj, ...)

## S4 method for signature 'kRp.corpus'
corpusDocTermMatrix(obj)

corpusDocTermMatrix(obj, terms = NULL, case.sens = NULL, tfidf = NULL) <- value

## S4 replacement method for signature 'kRp.corpus'
corpusDocTermMatrix(obj, terms = NULL, case.sens = NULL,
      tfidf = NULL) <- value

## S4 method for signature 'kRp.corpus'
corpusStopwords(obj)

## S4 replacement method for signature 'kRp.corpus'
corpusStopwords(obj) <- value

## S4 method for signature 'kRp.corpus'
diffText(obj, doc_id = NULL)

## S4 replacement method for signature 'kRp.corpus'
diffText(obj) <- value

## S4 method for signature 'kRp.corpus'
originalText(obj)

is.corpus(obj)

## S4 method for signature 'kRp.corpus,ANY,ANY,ANY'
x[i, j, ..., drop = TRUE]

## S4 replacement method for signature 'kRp.corpus,ANY,ANY,ANY'
x[i, j, ...] <- value

## S4 method for signature 'kRp.corpus'
x[[i, doc_id = NULL, ...]]

## S4 replacement method for signature 'kRp.corpus'
x[[i, doc_id = NULL, ...]] <- value

## S4 method for signature 'kRp.corpus'
tif_as_tokens_df(tokens)

tif_as_corpus_df(corpus)

## S4 method for signature 'kRp.corpus'
tif_as_corpus_df(corpus)

Arguments

obj	An object of class kRp.corpus.
value	A new value to replace the current with.
has_id	A character vector with doc_ids to look for in the object. The return value is then a logical vector of the same length, indicating if the respective id was found or not.
doc_id	A character vector to limit the scope to one or more particular document IDs.
simplify	If TRUE and result is a list of length 1, return the list element.
...	Additional arguments to pass through, depending on the method.
feature	Character string naming the object feature to look for.
meta	If not NULL, the meta list entry of the given name.
fail	Logical, whether the method should fail with an error if meta was not found. If set to FALSE, returns invisible(NULL) instead.
paths	Logical, indicates for corpusFiles() whether full paths should be returned, or just the actual file name.
terms	A character string defining the tokens used for calculating the matrix. Stored in object's meta data slot.
case.sens	Logical, whether terms were counted case sensitive. Stored in object's meta data slot.
tfidf	Logical, use TRUE if the term frequency–inverse document frequency (tf-idf) values were calculated instead of absolute frequency. Stored in object's meta data slot.
x	See obj.
i	Defines the row selector ([) or the name to match ([[) in the tokens slot.
j	Defines the column selector in the tokens slot.
drop	See [.
tokens	An object of class kRp.corpus.
corpus	An object of class kRp.corpus.

Details

• taggedText() returns the tokens slot.

• describe() returns the desc slot.

• hasFeature() returns TRUE or codeFALSE, depending on whether the requested feature is present or not.

• feature() returns the list entry of the feat_list slot for the requested feature.

• corpusReadability() returns the list of kRp.readability objects.

• corpusTm() returns the VCorpus object.

• corpusMeta() returns the list with meta information.

• corpusHyphen() returns the list of kRp.hyphen objects.

• corpusLexDiv() returns the list of kRp.TTR objects.

• corpusFiles() returns the character vector of file names of the object.

• corpusFreq() returns the frequency analysis data from the feat_list slot.

• corpusCorpFreq() returns the kRp.corp.freq object of the feat_list slot.

• corpusHierarchy() returns the corpus' hierarchy structure.

• corpusDocTermMatrix() returns the sparse document term matrix of the feat_list slot.

• corpusStopwords() returns the number of stopwords found in each text (if analyzed) from the feat_list slot.

• diffText() returns the diff element of the feat_list slot.

• originalText regenerates the original text before text transformations and returns it as a data frame.

• [/[[ can be used as a shortcut to index the results of taggedText().

• tif_as_corpus_df returns the whole corpus in a single TIF[1] compliant data.frame.

• tif_as_tokens_df returns the tokens slot in a TIF[1] compliant data.frame, i.e., doc_id is not a factor but a character vector.

References

[1] Text Interchange Formats (https://github.com/ropensci/tif)

Examples

# use readCorpus() to create an object of class kRp.corpus
# code is only run when the english language package can be loaded
if(require("koRpus.lang.en", quietly = TRUE)){
  myCorpus <- readCorpus(
    dir=file.path(
      path.package("tm.plugin.koRpus"), "examples", "corpus", "Winner", "Wikipedia_new"
    ),
    # use tokenize() so examples run without a TreeTagger installation
    tagger="tokenize",
    lang="en"
  )

  taggedText(myCorpus)

  corpusMeta(myCorpus, "note") <- "an interesting read!"

  # export object to TIF compliant data frame
  myCorpus_df <- tif_as_corpus_df(myCorpus)
} else {}

unDocUMeantIt/tm.plugin.koRpus documentation built on May 21, 2021, 9:27 p.m.