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DESCRIPTION
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DESCRIPTION
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Package: qdap
Type: Package
Title: Bridging the gap between qualitative data and quantitative analysis
Version: 0.2.3
Date: 2013-05-18
Author: Tyler Rinker
Maintainer: Tyler Rinker <[email protected]>
Depends:
R (>= 3.0.0),
gdata,
ggplot2 (>= 0.9.3.1),
grid,
reports,
scales
Imports:
gridExtra,
chron,
grDevices,
RColorBrewer,
igraph,
tm,
wordcloud,
venneuler,
openNLPmodels.en,
Snowball,
SnowballC,
gplots,
gridExtra,
openNLP,
plotrix,
XML,
RCurl,
reshape2,
parallel,
tools
Suggests:
lsa,
plyr,
koRpus
LazyData: TRUE
Description: This package automates many of the tasks associated with
quantitative discourse analysis of transcripts containing discourse
including frequency counts of sentence types, words, sentences, turns of
talk, syllables and other assorted analysis tasks. The package
provides parsing tools for preparing transcript data. Many functions
enable the user to aggregate data by any number of grouping variables
providing analysis and seamless integration with other R packages that
undertake higher level analysis and visualization of text. This affords
the user a more efficient and targeted analysis.
Acknowledgments: I would like to thank the many folks at talkstats.com and
stackoverflow.com for their help in answering many R questions related to
qdap. I'd like to particularly thank Dason Kurkiewicz for his constant
mentoring/assistance in learning the R language, GitHub and package
development.
License: GPL-2
URL: http://trinker.github.com/qdap/
BugReports: http://github.com/trinker/qdap/issues
Collate:
'adjacency_matrix.R'
'all_words.R'
'automated_readability_index.R'
'bag.o.words.R'
'beg2char.R'
'blank2NA.R'
'bracketX.R'
'capitalizer.R'
'clean.R'
'cm_bidist.R'
'cm_code.blank.R'
'cm_code.combine.R'
'cm_code.exclude.R'
'cm_code.overlap.R'
'cm_code.transform.R'
'cm_combine.dummy.R'
'cm_d2l.R'
'cm_debug.R'
'cm_debug2.R'
'cm_describe.R'
'cm_df.fill.R'
'cm_df.temp.R'
'cm_df.transcript.R'
'cm_df.transform.R'
'cm_df2long.R'
'cm_distance.R'
'cm_dummy2long.R'
'cm_long2dummy.R'
'cm_r2l.R'
'cm_range.temp.R'
'cm_range2long.R'
'cm_se2vect.R'
'cm_t2l.R'
'cm_time.temp.R'
'cm_time2long.R'
'col.fn.R'
'colSplit.R'
'colsplit2df.R'
'combine_tot.R'
'common.R'
'dir_map.R'
'dissimilarity.R'
'distTab.R'
'diversity.R'
'duplicates.R'
'end_inc.R'
'end_mark.R'
'exclude.R'
'formality.R'
'freqTab2words.R'
'gantt.R'
'gantt_plot.R'
'gantt_rep.R'
'gantt_wrap.R'
'gradient_cloud.R'
'hash.R'
'hms2sec.R'
'htruncdf.R'
'imperative.R'
'incomplete.replace.R'
'is.dp.R'
'key_merge.R'
'kullback.leibler.R'
'Ldist.R'
'left.just.R'
'lookup.R'
'mcsv_r.R'
'merge_all.R'
'multigsub.R'
'multiscale.R'
'NAer.R'
'name2sex.R'
'ncutWORD.R'
'ncutWORDS.R'
'new_project.R'
'ngrams.R'
'numbtext.R'
'numfor.R'
'outlier.detect.R'
'outlier.labeler.R'
'partition.R'
'paste2.R'
'polarity.R'
'pos.R'
'potential_NA.R'
'prop.R'
'qcombine.R'
'qcv.R'
'qda.handler.R'
'qdap-package.R'
'qheat.R'
'qprep.R'
'question_type.R'
'rank_freq_plot.R'
'raw_pro_comb.R'
'read.docx.R'
'read.transcript.R'
'reducer.R'
'reduceWORDS.R'
'replace_abbreviation.R'
'replace_contraction.R'
'replace_number.R'
'replace_symbol.R'
'replacer.R'
'rm_row.R'
'scrubber.R'
'Search.R'
'sec2hms.R'
'sentSplit.R'
'space_fill.R'
'spaste.R'
'speakerSplit.R'
'stemmer.R'
'stopwords.R'
'strip.R'
'strWrap.R'
'syllable.sum.R'
'synonyms.R'
'tdm.R'
'term.count.R'
'term.find.R'
'termco.c.R'
'termco.h.R'
'termco.p.R'
'termco.R'
'termco2short.term.R'
'tester.R'
'text2color.R'
'textLISTER.R'
'tot_plot.R'
'trans.cloud.R'
'trans.venn.R'
'Trim.R'
'unblanker.R'
'url_dl.R'
'v.outer.R'
'wfm.R'
'word.count.R'
'word.network.plot.R'
'word_associate.R'
'word_diff_list.R'
'word_list.R'
'word_stats.R'
'words.R'
'xnoy.R'