R: n-Gram Text Regression, aka Concise Comparative Summarization

# n-Gram Text Regression, aka Concise Comparative Summarization

## Documentation for package ‘textreg’ version 0.1.5

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

textreg-package | Sparse regression package for text that allows for multiple word phrases.
bathtub | Sample of cleaned OSHA accident summaries.
build.corpus | Build a corpus that can be used in the textreg call.
calc.loss | Calculate total loss of model (Squared hinge loss).
clean.text | Clean text and get it ready for textreg.
cluster.phrases | Cluster phrases based on similarity of appearance.
convert.tm.to.character | Convert tm corpus to vector of strings.
cpp_build.corpus | Driver function for the C++ function.
cpp_textreg | Driver function for the C++ function.
dirtyBathtub | Sample of raw-text OSHA accident summaries.
find.CV.C | K-fold cross-validation to determine optimal tuning parameter
find.threshold.C | Conduct permutation test on labeling to get null distribution of regularization parameter.
fragment.sample | Is object a fragment.sample object?
grab.fragments | Grab all fragments in a corpus with given phrase.
is.fragment.sample | Is object a fragment.sample object?
is.textreg.corpus | Is object a textreg.corpus object?
is.textreg.result | Is object a textreg.result object?
list.table.chart | Graphic showing multiple word lists side-by-side.
make.appearance.matrix | Make phrase appearance matrix from textreg result.
make.count.table | Count number of times documents have a given phrase.
make.CV.chart | Plot K-fold cross validation curves
make.list.table | Collate multiple regression runs.
make.path.matrix | Generate matrix describing gradient descent path of textreg.
make.phrase.correlation.chart | Generate visualization of phrase overlap.
make.phrase.matrix | Make a table of where phrases appear in a corpus
make.similarity.matrix | Calculate similarity matrix for set of phrases.
make_search_phrases | Convert phrases to appropriate search string.
path.matrix.chart | Plot optimization path of textreg.
phrase.count | Count phrase appearance.
phrase.matrix | Make matrix of where phrases appear in corpus.
phrases | Get the phrases from the textreg.result object?
plot.textreg.result | Plot the sequence of features as they are introduced with the textreg gradient descent program.
predict.textreg.result | Predict labeling with the selected phrases.
print.fragment.sample | Pretty print results of phrase sampling object.
print.textreg.corpus | Pretty print textreg corpus object
print.textreg.result | Pretty print results of textreg regression.
reformat.textreg.model | Clean up output from textreg.
sample.fragments | Sample fragments of text to contextualize a phrase.
save.corpus.to.files | Save corpus to text (and RData) file.
stem.corpus | Step corpus with annotation.
testCorpora | Some small, fake test corpora.
textreg | Sparse regression of labeling vector onto all phrases in a corpus.
textreg.corpus | Is object a textreg.corpus object?
textreg.result | Is object a textreg.result object?
tm_gregexpr | Call gregexpr on the content of a tm Corpus.