qdap: Bridging the Gap Between Qualitative Data and Quantitative Analysis

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. 'qdap' is designed for transcript analysis, however, many functions are applicable to other areas of Text Mining/Natural Language Processing.

AuthorBryan Goodrich [ctb], Dason Kurkiewicz [ctb], Tyler Rinker [aut, cre]
Date of publication2016-06-16 18:19:05
MaintainerTyler Rinker <tyler.rinker@gmail.com>
LicenseGPL-2
Version2.2.5
http://trinker.github.com/qdap/

View on CRAN

Man pages

add_incomplete: Detect Incomplete Sentences; Add | Endmark

addNetwork: Add themes to a Network object.

add_s: Make Plural (or Verb to Singular) Versions of Words

adjacency_matrix: Takes a Matrix and Generates an Adjacency Matrix

all_words: Searches Text Column for Words

Animate: Generic Animate Method

Animate.character: Animate Character

Animate.discourse_map: Discourse Map

Animate.formality: Animate Formality

Animate.gantt: Gantt Durations

Animate.gantt_plot: Gantt Plot

Animate.lexical_classification: Animate Formality

Animate.polarity: Animate Polarity

as.tdm: tm Package Compatibility Tools: Apply to or Convert to/from...

bag_o_words: Bag of Words

beg2char: Grab Begin/End of String to Character

blank2NA: Replace Blanks in a dataframe

bracketX: Bracket Parsing

build_qdap_vignette: Replace Temporary Introduction to qdap Vignette

capitalizer: Capitalize Select Words

chain: qdap Chaining

check_spelling: Check Spelling

check_spelling_interactive.character: Check Spelling

check_spelling_interactive.check_spelling: Check Spelling

check_spelling_interactive.factor: Check Spelling

check_text: Check Text For Potential Problems

chunker: Break Text Into Ordered Word Chunks

clean: Remove Escaped Characters

cm_2long: A Generic to Long Function

cm_code.blank: Blank Code Transformation

cm_code.combine: Combine Codes

cm_code.exclude: Exclude Codes

cm_code.overlap: Find Co-occurrence Between Codes

cm_code.transform: Transform Codes

cm_combine.dummy: Find Co-occurrence Between Dummy Codes

cm_df2long: Transform Codes to Start-End Durations

cm_df.fill: Range Coding

cm_df.temp: Break Transcript Dialogue into Blank Code Matrix

cm_df.transcript: Transcript With Word Number

cm_distance: Distance Matrix Between Codes

cm_dummy2long: Convert cm_combine.dummy Back to Long

cm_long2dummy: Stretch and Dummy Code cm_xxx2long

cm_range2long: Transform Codes to Start-End Durations

cm_range.temp: Range Code Sheet

cm_time2long: Transform Codes to Start-End Times

cm_time.temp: Time Span Code Sheet

colcomb2class: Combine Columns to Class

colSplit: Separate a Column Pasted by paste2

colsplit2df: Wrapper for colSplit that Returns Dataframe(s)

comma_spacer: Ensure Space After Comma

common: Find Common Words Between Groups

common.list: list Method for common

condense: Condense Dataframe Columns

counts: Generic Counts Method

counts.automated_readability_index: Readability Measures

counts.character_table: Term Counts

counts.coleman_liau: Readability Measures

counts.end_mark_by: Question Counts

counts.flesch_kincaid: Readability Measures

counts.formality: Formality

counts.fry: Readability Measures

counts.linsear_write: Readability Measures

counts.object_pronoun_type: Question Counts

counts.polarity: Polarity

counts.pos: Parts of Speech

counts.pos_by: Parts of Speech

counts.pronoun_type: Question Counts

counts.question_type: Question Counts

counts.SMOG: Readability Measures

counts.subject_pronoun_type: Question Counts

counts.termco: Term Counts

counts.word_length: Word Length Counts

counts.word_position: Word Position

counts.word_stats: Word Stats

cumulative: Cumulative Scores

DATA: Fictitious Classroom Dialogue

DATA2: Fictitious Repeated Measures Classroom Dialogue

DATA.SPLIT: Fictitious Split Sentence Classroom Dialogue

data_viewing: Dataframe Viewing

dir_map: Map Transcript Files from a Directory to a Script

discourse_map: Discourse Mapping

dispersion_plot: Lexical Dispersion Plot

Dissimilarity: Dissimilarity Statistics

dist_tab: SPSS Style Frequency Tables

diversity: Diversity Statistics

duplicates: Find Duplicated Words in a Text String

end_inc: Test for Incomplete Sentences

end_mark: Sentence End Marks

env.syl: Syllable Lookup Environment

exclude: Exclude Elements From a Vector

Filter: Filter

formality: Formality Score

freq_terms: Find Frequent Terms

gantt: Gantt Durations

gantt_plot: Gantt Plot

gantt_rep: Generate Unit Spans for Repeated Measures

gantt_wrap: Gantt Plot

gradient_cloud: Gradient Word Cloud

hamlet: Hamlet (Complete & Split by Sentence)

igraph_params: Apply Parameter to List of Igraph Vertices/Edges

imperative: Intuitively Remark Sentences as Imperative

incomplete_replace: Denote Incomplete End Marks With "|"

inspect_text: Inspect Text Vectors

is.global: Test If Environment is Global

justification: Text Justification

key_merge: Merge Demographic Information with Person/Text Transcript

kullback_leibler: Kullback Leibler Statistic

lexical_classification: Lexical Classification Score

mraja1: Romeo and Juliet: Act 1 Dialogue Merged with Demographics

mraja1spl: Romeo and Juliet: Act 1 Dialogue Merged with Demographics and...

multicsv: Read/Write Multiple csv Files at a Time

multigsub: Multiple gsub

multiscale: Nested Standardization

NAer: Replace Missing Values (NA)

name2sex: Names to Gender

Network: Generic Network Method

Network.formality: Network Formality

Network.lexical_classification: Network Lexical Classification

Network.polarity: Network Polarity

new_project: Project Template

ngrams: Generate ngrams

object_pronoun_type: Count Object Pronouns Per Grouping Variable

outlier_detect: Detect Outliers in Text

outlier_labeler: Locate Outliers in Numeric String

paste2: Paste an Unspecified Number Of Text Columns

phrase_net: Phrase Nets

plot.animated_character: Plots an animated_character Object

plot.animated_discourse_map: Plots an animated_discourse_map Object

plot.animated_formality: Plots a animated_formality Object

plot.animated_lexical_classification: Plots an animated_lexical_classification Object

plot.animated_polarity: Plots an animated_polarity Object

plot.automated_readability_index: Plots a automated_readability_index Object

plot.character_table: Plots a character_table Object

plot.cm_distance: Plots a cm_distance object

plot.cmspans: Plots a cmspans object

plot.coleman_liau: Plots a coleman_liau Object

plot.combo_syllable_sum: Plots a combo_syllable_sum Object

plot.cumulative_animated_formality: Plots a cumulative_animated_formality Object

plot.cumulative_animated_lexical_classification: Plots a cumulative_animated_lexical_classification Object

plot.cumulative_animated_polarity: Plots a cumulative_animated_polarity Object

plot.cumulative_combo_syllable_sum: Plots a cumulative_combo_syllable_sum Object

plot.cumulative_end_mark: Plots a cumulative_end_mark Object

plot.cumulative_formality: Plots a cumulative_formality Object

plot.cumulative_lexical_classification: Plots a cumulative_lexical_classification Object

plot.cumulative_polarity: Plots a cumulative_polarity Object

plot.cumulative_syllable_freq: Plots a cumulative_syllable_freq Object

plot.discourse_map: Plots a discourse_map Object

plot.diversity: Plots a diversity object

plot.end_mark: Plots an end_mark Object

plot.end_mark_by: Plots a end_mark_by Object

plot.end_mark_by_count: Plots a end_mark_by_count Object

plot.end_mark_by_preprocessed: Plots a end_mark_by_preprocessed Object

plot.end_mark_by_proportion: Plots a end_mark_by_proportion Object

plot.end_mark_by_score: Plots a end_mark_by_score Object

plot.flesch_kincaid: Plots a flesch_kincaid Object

plot.formality: Plots a formality Object

plot.formality_scores: Plots a formality_scores Object

plot.freq_terms: Plots a freq_terms Object

plot.gantt: Plots a gantt object

plot.kullback_leibler: Plots a kullback_leibler object

plot.lexical: Plots a lexical Object

plot.lexical_classification: Plots a lexical_classification Object

plot.lexical_classification_preprocessed: Plots a lexical_classification_preprocessed Object

plot.lexical_classification_score: Plots a lexical_classification_score Object

plot.linsear_write: Plots a linsear_write Object

plot.linsear_write_count: Plots a linsear_write_count Object

plot.linsear_write_scores: Plots a linsear_write_scores Object

plot.Network: Plots a Network Object

plot.object_pronoun_type: Plots an object_pronoun_type Object

plot.polarity: Plots a polarity Object

plot.polarity_count: Plots a polarity_count Object

plot.polarity_score: Plots a polarity_score Object

plot.pos: Plots a pos Object

plot.pos_by: Plots a pos_by Object

plot.pos_preprocessed: Plots a pos_preprocessed Object

plot.pronoun_type: Plots an pronoun_type Object

plot.question_type: Plots a question_type Object

plot.question_type_preprocessed: Plots a question_type_preprocessed Object

plot.readability_count: Plots a readability_count Object

plot.readability_score: Plots a readability_score Object

plot.rmgantt: Plots a rmgantt object

plot.sent_split: Plots a sent_split Object

plot.SMOG: Plots a SMOG Object

plot.subject_pronoun_type: Plots an subject_pronoun_type Object

plot.sum_cmspans: Plot Summary Stats for a Summary of a cmspans Object

plot.sums_gantt: Plots a sums_gantt object

plot.syllable_freq: Plots a syllable_freq Object

plot.table_count: Plots a table_count Object

plot.table_proportion: Plots a table_proportion Object

plot.table_score: Plots a table_score Object

plot.termco: Plots a termco object

plot.type_token_ratio: Plots a type_token_ratio Object

plot.weighted_wfm: Plots a weighted_wfm object

plot.wfdf: Plots a wfdf object

plot.wfm: Plots a wfm object

plot.word_cor: Plots a word_cor object

plot.word_length: Plots a word_length Object

plot.word_position: Plots a word_position object

plot.word_proximity: Plots a word_proximity object

plot.word_stats: Plots a word_stats object

plot.word_stats_counts: Plots a word_stats_counts Object

polarity: Polarity Score (Sentiment Analysis)

pos: Parts of Speech Tagging

potential_NA: Search for Potential Missing Values

power: Power Score (Sentiment Analysis)

preprocessed: Generic Preprocessed Method

preprocessed.check_spelling_interactive: Check Spelling

preprocessed.end_mark_by: Question Counts

preprocessed.formality: Formality

preprocessed.lexical_classification: Lexical Classification

preprocessed.object_pronoun_type: Question Counts

preprocessed.pos: Parts of Speech

preprocessed.pos_by: Parts of Speech

preprocessed.pronoun_type: Question Counts

preprocessed.question_type: Question Counts

preprocessed.subject_pronoun_type: Question Counts

preprocessed.word_position: Word Position

pres_debate_raw2012: First 2012 U.S. Presidential Debate

pres_debates2012: 2012 U.S. Presidential Debates

print.adjacency_matrix: Prints an adjacency_matrix Object

print.all_words: Prints an all_words Object

print.animated_character: Prints an animated_character Object

print.animated_discourse_map: Prints an animated_discourse_map Object

print.animated_formality: Prints a animated_formality Object

print.animated_lexical_classification: Prints an animated_lexical_classification Object

print.animated_polarity: Prints an animated_polarity Object

print.automated_readability_index: Prints an automated_readability_index Object

print.boolean_qdap: Prints a boolean_qdap object

print.character_table: Prints a character_table object

print.check_spelling: Prints a check_spelling Object

print.check_spelling_interactive: Prints a check_spelling_interactive Object

print.check_text: Prints a check_text Object

print.cm_distance: Prints a cm_distance Object

print.coleman_liau: Prints an coleman_liau Object

print.colsplit2df: Prints a colsplit2df Object.

print.combo_syllable_sum: Prints an combo_syllable_sum object

print.cumulative_animated_formality: Prints a cumulative_animated_formality Object

print.cumulative_animated_lexical_classification: Prints a cumulative_animated_lexical_classification Object

print.cumulative_animated_polarity: Prints a cumulative_animated_polarity Object

print.cumulative_combo_syllable_sum: Prints a cumulative_combo_syllable_sum Object

print.cumulative_end_mark: Prints a cumulative_end_mark Object

print.cumulative_formality: Prints a cumulative_formality Object

print.cumulative_lexical_classification: Prints a cumulative_lexical_classification Object

print.cumulative_polarity: Prints a cumulative_polarity Object

print.cumulative_syllable_freq: Prints a cumulative_syllable_freqObject

print.discourse_map: Prints a discourse_map Object

print.Dissimilarity: Prints a Dissimilarity object

print.diversity: Prints a diversity object

print.end_mark: Prints an end_mark object

print.end_mark_by: Prints an end_mark_by object

print.end_mark_by_preprocessed: Prints a end_mark_by_preprocessed object

print.flesch_kincaid: Prints an flesch_kincaid Object

print.formality: Prints a formality Object

print.formality_scores: Prints a formality_scores object

print.fry: Prints an fry Object

print.inspect_text: Prints an inspect_text Object

print.kullback_leibler: Prints a kullback_leibler Object.

print.lexical_classification: Prints an lexical_classification Object

print.lexical_classification_by: Prints a lexical_classification Object

print.lexical_classification_preprocessed: Prints a lexical_classification_preprocessed Object

print.lexical_classification_score: Prints a lexical_classification_score Object

print.linsear_write: Prints an linsear_write Object

print.linsear_write_count: Prints a linsear_write_count Object

print.linsear_write_scores: Prints a linsear_write_scores Object

print.Network: Prints a Network Object

print.ngrams: Prints an ngrams object

print.object_pronoun_type: Prints a object_pronoun_type object

print.phrase_net: Prints a phrase_net Object

print.polarity: Prints an polarity Object

print.polarity_count: Prints a polarity_count Object

print.polarity_score: Prints a polarity_score Object

print.polysyllable_sum: Prints an polysyllable_sum object

print.pos: Prints a pos Object.

print.pos_by: Prints a pos_by Object.

print.pos_preprocessed: Prints a pos_preprocessed object

print.pronoun_type: Prints a pronoun_type object

print.qdap_context: Prints a qdap_context object

print.qdapProj: Prints a qdapProj Object

print.question_type: Prints a question_type object

print.question_type_preprocessed: Prints a question_type_preprocessed object

print.readability_count: Prints a readability_count Object

print.readability_score: Prints a readability_score Object

print.sent_split: Prints a sent_split object

print.SMOG: Prints an SMOG Object

print.sub_holder: Prints a sub_holder object

print.subject_pronoun_type: Prints a subject_pronoun_type object

print.sum_cmspans: Prints a sum_cmspans object

print.sums_gantt: Prints a sums_gantt object

print.syllable_sum: Prints an syllable_sum object

print.table_count: Prints a table_count object

print.table_proportion: Prints a table_proportion object

print.table_score: Prints a table_score object

print.termco: Prints a termco object.

print.trunc: Prints a trunc object

print.type_token_ratio: Prints a type_token_ratio Object

print.wfm: Prints a wfm Object

print.wfm_summary: Prints a wfm_summary Object

print.which_misspelled: Prints a which_misspelled Object

print.word_associate: Prints a word_associate object

print.word_cor: Prints a word_cor object

print.word_length: Prints a word_length object

print.word_list: Prints a word_list Object

print.word_position: Prints a word_position object.

print.word_proximity: Prints a word_proximity object

print.word_stats: Prints a word_stats object

print.word_stats_counts: Prints a word_stats_counts object

pronoun_type: Count Object/Subject Pronouns Per Grouping Variable

prop: Convert Raw Numeric Matrix or Data Frame to Proportions

proportions: Generic Proportions Method

proportions.character_table: Term Counts

proportions.end_mark_by: Question Counts

proportions.formality: Formality

proportions.object_pronoun_type: Question Counts

proportions.pos: Parts of Speech

proportions.pos_by: Parts of Speech

proportions.pronoun_type: Question Counts

proportions.question_type: Question Counts

proportions.subject_pronoun_type: Question Counts

proportions.termco: Term Counts

proportions.word_length: Word Length Counts

proportions.word_position: Word Position

qcombine: Combine Columns

qcv: Quick Character Vector

qdap: qdap: Quantitative Discourse Analysis Package

qdap_df: Create qdap Specific Data Structure

qheat: Quick Heatmap

qprep: Quick Preparation of Text

qtheme: Add themes to a Network object.

question_type: Count of Question Type

raj: Romeo and Juliet (Unchanged & Complete)

raj.act.1: Romeo and Juliet: Act 1

raj.act.1POS: Romeo and Juliet: Act 1 Parts of Speech by Person A dataset...

raj.act.2: Romeo and Juliet: Act 2

raj.act.3: Romeo and Juliet: Act 3

raj.act.4: Romeo and Juliet: Act 4

raj.act.5: Romeo and Juliet: Act 5

raj.demographics: Romeo and Juliet Demographics

rajPOS: Romeo and Juliet Split in Parts of Speech

rajSPLIT: Romeo and Juliet (Complete & Split)

random_data: Generate Random Dialogue Data

rank_freq_plot: Rank Frequency Plot

raw.time.span: Minimal Raw Time Span Data Set

Readability: Readability Measures

read.transcript: Read Transcripts Into R

replace_abbreviation: Replace Abbreviations

replace_contraction: Replace Contractions

replace_number: Replace Numbers With Text Representation

replace_ordinal: Replace Mixed Ordinal Numbers With Text Representation

replacer: Replace Cells in a Matrix or Data Frame

replace_symbol: Replace Symbols With Word Equivalents

rm_row: Remove Rows That Contain Markers

rm_stopwords: Remove Stop Words

sample.time.span: Minimal Time Span Data Set

scores: Generic Scores Method

scores.automated_readability_index: Readability Measures

scores.character_table: Term Counts

scores.coleman_liau: Readability Measures

scores.end_mark_by: Question Counts

scores.flesch_kincaid: Readability Measures

scores.formality: Formality

scores.fry: Readability Measures

scores.lexical_classification: Lexical Classification

scores.linsear_write: Readability Measures

scores.object_pronoun_type: Question Counts

scores.polarity: Polarity

scores.pos_by: Parts of Speech

scores.pronoun_type: Question Counts

scores.question_type: Question Counts

scores.SMOG: Readability Measures

scores.subject_pronoun_type: Question Counts

scores.termco: Term Counts

scores.word_length: Word Length Counts

scores.word_position: Word Position

scores.word_stats: Word Stats

scrubber: Clean Imported Text

Search: Search Columns of a Data Frame

sentSplit: Sentence Splitting

space_fill: Replace Spaces

spaste: Add Leading/Trailing Spaces

speakerSplit: Break and Stretch if Multiple Persons per Cell

stemmer: Stem Text

strip: Strip Text

strWrap: Wrap Character Strings to Format Paragraphs

subject_pronoun_type: Count Subject Pronouns Per Grouping Variable

summary.cmspans: Summarize a cmspans object

summary.wfdf: Summarize a wfdf object

summary.wfm: Summarize a wfm object

syllabication: Syllabication

synonyms: Search For Synonyms

t.DocumentTermMatrix: Transposes a DocumentTermMatrix object

termco: Search For and Count Terms

termco_c: Combine Columns from a termco Object

Title: Add Title to Select qdap Plots

tot_plot: Visualize Word Length by Turn of Talk

trans_cloud: Word Clouds by Grouping Variable

trans_context: Print Context Around Indices

trans_venn: Venn Diagram by Grouping Variable

Trim: Remove Leading/Trailing White Space

t.TermDocumentMatrix: Transposes a TermDocumentMatrix object

type_token_ratio: Type-Token Ratio

unique_by: Find Unique Words by Grouping Variable

visual: Generic visual Method

visual.discourse_map: Discourse Map

weight: Weight a qdap Object

word_associate: Find Associated Words

word_cor: Find Correlated Words

word_count: Word Counts

word_diff_list: Differences In Word Use Between Groups

Word_Frequency_Matrix: Word Frequency Matrix

word_length: Count of Word Lengths Type

word_list: Raw Word Lists/Frequency Counts

word_network_plot: Word Network Plot

word_position: Word Position

word_proximity: Proximity Matrix Between Words

word_stats: Descriptive Word Statistics

Files in this package

qdap
qdap/inst
qdap/inst/Rmd_vignette
qdap/inst/Rmd_vignette/imgs
qdap/inst/Rmd_vignette/imgs/data_convert.png
qdap/inst/Rmd_vignette/imgs/tm_imgs
qdap/inst/Rmd_vignette/imgs/tm_imgs/img1.png
qdap/inst/Rmd_vignette/imgs/tm_imgs/img2.png
qdap/inst/Rmd_vignette/imgs/tm_imgs/img3.png
qdap/inst/Rmd_vignette/imgs/tm_imgs/img4.png
qdap/inst/Rmd_vignette/imgs/qdaplogo.png
qdap/inst/Rmd_vignette/data
qdap/inst/Rmd_vignette/data/polarity.example.rds
qdap/inst/Rmd_vignette/data/poldat4.rds
qdap/inst/Rmd_vignette/data/wfmcor.rds
qdap/inst/Rmd_vignette/data/posbydat.rds
qdap/inst/Rmd_vignette/css
qdap/inst/Rmd_vignette/css/style.css
qdap/inst/Rmd_vignette/funs
qdap/inst/Rmd_vignette/funs/utils_functions.txt
qdap/inst/Rmd_vignette/funs/extra_functions.txt
qdap/inst/Rmd_vignette/qdap_vignette.Rmd
qdap/inst/CITATION
qdap/inst/extdata
qdap/inst/extdata/transcripts
qdap/inst/extdata/transcripts/trans4.xlsx
qdap/inst/extdata/transcripts/trans2.docx
qdap/inst/extdata/transcripts/trans3.docx
qdap/inst/extdata/transcripts/trans1.docx
qdap/inst/extdata/docs
qdap/inst/extdata/docs/preamble.tex
qdap/inst/extdata/docs/TEMP.txt
qdap/inst/extdata/docs/PROJECT_WORKFLOW_GUIDE.pdf
qdap/inst/extdata/docs/report_1.rnw
qdap/inst/extdata/docs/extra_functions.R
qdap/inst/extdata/docs/Rprofile.txt
qdap/inst/doc
qdap/inst/doc/cleaning_and_debugging.R
qdap/inst/doc/qdap_vignette.R
qdap/inst/doc/tm_package_compatibility.R
qdap/inst/doc/qdap_vignette.html
qdap/inst/doc/tm_package_compatibility.pdf
qdap/inst/doc/cleaning_and_debugging.pdf
qdap/inst/doc/cleaning_and_debugging.Rnw
qdap/inst/doc/tm_package_compatibility.Rnw
qdap/inst/doc/qdap_vignette.Rmd
qdap/tests
qdap/tests/testthat.R
qdap/tests/testthat
qdap/tests/testthat/test-strip.R
qdap/tests/testthat/test-colSplit.R
qdap/tests/testthat/test-replace_number.R
qdap/tests/testthat/test-add_incomplete.R
qdap/tests/testthat/test-common.R
qdap/tests/testthat/test-chunker.R
qdap/tests/testthat/test-phrase_net.R
qdap/tests/testthat/test-capitalizer.R
qdap/tests/testthat/test-unique_by.R
qdap/tests/testthat/test-colcomb2class.R
qdap/tests/testthat/test-wfm.R
qdap/tests/testthat/test-as.tdm.R
qdap/tests/testthat/test-cm_code.blank.R
qdap/tests/testthat/test-clean.R
qdap/tests/testthat/test-cmspans.R
qdap/tests/testthat/test-cm_2long.R
qdap/tests/testthat/test-beg2char.R
qdap/tests/testthat/test-adjacency_matrix.R
qdap/tests/testthat/test-word_length.R
qdap/tests/testthat/test-bag_o_words.R
qdap/tests/testthat/test-blank2NA.R
qdap/tests/testthat/test-pos.R
qdap/tests/testthat/test-polarity.R
qdap/tests/testthat/test-syllable_sum.R
qdap/tests/testthat/test-all_words.R
qdap/tests/testthat/test-formality.R
qdap/tests/testthat/test-end_mark.R
qdap/tests/testthat/test-bracketX.R
qdap/tests/testthat/test-automated_readability_index.R
qdap/tests/testthat/test-dispersion_plot.R
qdap/NAMESPACE
qdap/NEWS
qdap/data
qdap/data/pres_debates2012.rda
qdap/data/raj.act.2.rda
qdap/data/raw.time.span.rda
qdap/data/raj.act.4.rda
qdap/data/hamlet.rda
qdap/data/DATA.rda
qdap/data/raj.act.1.rda
qdap/data/raj.act.5.rda
qdap/data/sample.time.span.rda
qdap/data/rajPOS.rda
qdap/data/raj.rda
qdap/data/mraja1.rda
qdap/data/raj.act.3.rda
qdap/data/mraja1spl.rda
qdap/data/raj.act.1POS.rda
qdap/data/DATA.SPLIT.rda
qdap/data/rajSPLIT.rda
qdap/data/env.syl.rda
qdap/data/pres_debate_raw2012.rda
qdap/data/DATA2.rda
qdap/data/raj.demographics.rda
qdap/R
qdap/R/gantt.R qdap/R/cm_code.blank.R qdap/R/lexical_classification.R qdap/R/termco.p.R qdap/R/spaste.R qdap/R/cm_debug2.R qdap/R/cm_code.overlap.R qdap/R/check_text.R qdap/R/potential_NA.R qdap/R/Title.R qdap/R/cm_range2long.R qdap/R/dispersion_plot.R qdap/R/utils.R qdap/R/polarity.R qdap/R/Animate.R qdap/R/read_transcript.R qdap/R/which.R qdap/R/build_qdap_vignette.R qdap/R/adjacency_matrix.R qdap/R/pronoun_type.R qdap/R/subject_pronoun_type.R qdap/R/cm_describe.R qdap/R/beg2char.R qdap/R/discourse_map.R qdap/R/gantt_plot.R qdap/R/prop.R qdap/R/cm_time2long.R qdap/R/cm_bidist.R qdap/R/trans_cloud.R qdap/R/power.R qdap/R/question_type.R qdap/R/cm_debug.R qdap/R/qdap-package.R qdap/R/dissimilarity.R qdap/R/Trim.R qdap/R/read.docx.R qdap/R/cm_combine.dummy.R qdap/R/qdap_df.R qdap/R/outlier_labeler.R qdap/R/word_list.R qdap/R/rm_row.R qdap/R/termco.h.R qdap/R/word_position.R qdap/R/word_proximity.R qdap/R/cm_time.temp.R qdap/R/synonyms.R qdap/R/comma_spacer.R qdap/R/left_just.R qdap/R/capitalizer.R qdap/R/multiscale.R qdap/R/theme_qdap.R qdap/R/chunker.R qdap/R/clean.R qdap/R/cm_code.exclude.R qdap/R/key_merge.R qdap/R/bag_o_words.R qdap/R/numbtext.R qdap/R/unique_by.R qdap/R/termco_c.R qdap/R/stemmer.R qdap/R/qcombine.R qdap/R/strip.R qdap/R/gantt_rep.R qdap/R/incomplete_replace.R qdap/R/new_project.R qdap/R/name2sex.R qdap/R/cm_distance.R qdap/R/scrubber.R qdap/R/all_words.R qdap/R/strWrap.R qdap/R/scores.R qdap/R/word_associate.R qdap/R/merge_all.R qdap/R/term.count.R qdap/R/reducer.R qdap/R/tester.R qdap/R/add_incomplete.R qdap/R/cm_dummy2long.R qdap/R/cm_df2long.R qdap/R/colsplit2df.R qdap/R/visual.R qdap/R/cumulative.R qdap/R/cm_df.fill.R qdap/R/cm_df.temp.R qdap/R/ncutWORDS.R qdap/R/NAer.R qdap/R/bracketX.R qdap/R/unblanker.R qdap/R/phrase_net.R qdap/R/add_s.R qdap/R/colSplit.R qdap/R/partition.R qdap/R/cm_code.transform.R qdap/R/cm_code.combine.R qdap/R/word_stats.R qdap/R/qheat.R qdap/R/word_length.R qdap/R/is.global.R qdap/R/table_methods.R qdap/R/as.tdm.R qdap/R/termco.R qdap/R/common.R qdap/R/pos.R qdap/R/replace_contraction.R qdap/R/replace_ordinal.R qdap/R/sentSplit.R qdap/R/dist_tab.R qdap/R/word_cor.R qdap/R/replace_abbreviation.R qdap/R/reduceWORDS.R qdap/R/term.find.R qdap/R/textLISTER.R qdap/R/blank2NA.R qdap/R/word_diff_list.R qdap/R/counts.R qdap/R/Animate.character.R qdap/R/htruncdf.R qdap/R/cmspans.R qdap/R/cm_se2vect.R qdap/R/end_inc.R qdap/R/syllable_sum.R qdap/R/deprecated.R qdap/R/trans_context.R qdap/R/object_pronoun_type.R qdap/R/weight.R qdap/R/igraph_params.R qdap/R/proportions.R qdap/R/imperative.R qdap/R/speakerSplit.R qdap/R/inspect_text.R qdap/R/col.fn.R qdap/R/kullback_leibler.R qdap/R/freqTab2words.R qdap/R/formality.R qdap/R/cm_df.transform.R qdap/R/Search.R qdap/R/cm_df.transcript.R qdap/R/ncutWORD.R qdap/R/multigsub.R qdap/R/numfor.R qdap/R/cm_r2l.R qdap/R/replace_symbol.R qdap/R/rank_freq_plot.R qdap/R/combine_tot.R qdap/R/type_token_ratio.R qdap/R/Network.R qdap/R/duplicates.R qdap/R/condense.R qdap/R/xnoy.R qdap/R/colcomb2class.R qdap/R/qprep.R qdap/R/dir_map.R qdap/R/outlier_detect.R qdap/R/cm_t2l.R qdap/R/qda.handler.R qdap/R/cm_range.temp.R qdap/R/preprocessed.R qdap/R/automated_readability_index.R qdap/R/tot_plot.R qdap/R/gantt_wrap.R qdap/R/diversity.R qdap/R/space_fill.R qdap/R/gradient_cloud.R qdap/R/termco2short.term.R qdap/R/exclude.R qdap/R/words.R qdap/R/chaining.R qdap/R/mcsv_r.R qdap/R/wfm.R qdap/R/cm_long2dummy.R qdap/R/trans_venn.R qdap/R/replace_number.R qdap/R/raw_pro_comb.R qdap/R/Ldist.R qdap/R/word_network_plot.R qdap/R/rm_stopwords.R qdap/R/end_mark.R qdap/R/check_spelling.R qdap/R/ngrams.R qdap/R/qcv.R qdap/R/cm_2long.R qdap/R/freq_terms.R qdap/R/paste2.R qdap/R/cm_d2l.R qdap/R/random_sent.R qdap/R/word_count.R qdap/R/plot.cmspans.R qdap/R/replacer.R
qdap/vignettes
qdap/vignettes/imgs
qdap/vignettes/imgs/data_convert.png
qdap/vignettes/imgs/qdaplogo.png
qdap/vignettes/qdap.bib
qdap/vignettes/funs
qdap/vignettes/funs/utils_functions.txt
qdap/vignettes/funs/extra_functions.txt
qdap/vignettes/cleaning_and_debugging.Rnw
qdap/vignettes/tm_package_compatibility.Rnw
qdap/vignettes/qdap_vignette.Rmd
qdap/README.md
qdap/MD5
qdap/build
qdap/build/vignette.rds
qdap/DESCRIPTION
qdap/man
qdap/man/print.lexical_classification.Rd qdap/man/proportions.object_pronoun_type.Rd qdap/man/print.lexical_classification_score.Rd qdap/man/plot.end_mark_by.Rd qdap/man/print.animated_character.Rd qdap/man/print.linsear_write_count.Rd qdap/man/visual.discourse_map.Rd qdap/man/cm_range2long.Rd qdap/man/cm_code.exclude.Rd qdap/man/proportions.pos.Rd qdap/man/print.linsear_write_scores.Rd qdap/man/plot.word_position.Rd qdap/man/raj.act.4.Rd qdap/man/plot.cumulative_end_mark.Rd qdap/man/scores.word_stats.Rd qdap/man/print.pronoun_type.Rd qdap/man/counts.polarity.Rd qdap/man/rank_freq_plot.Rd qdap/man/colsplit2df.Rd qdap/man/lexical_classification.Rd qdap/man/prop.Rd qdap/man/print.word_stats_counts.Rd qdap/man/Animate.formality.Rd qdap/man/kullback_leibler.Rd qdap/man/scores.lexical_classification.Rd qdap/man/NAer.Rd qdap/man/summary.cmspans.Rd qdap/man/word_network_plot.Rd qdap/man/scores.pos_by.Rd qdap/man/object_pronoun_type.Rd qdap/man/print.combo_syllable_sum.Rd qdap/man/key_merge.Rd qdap/man/counts.SMOG.Rd qdap/man/exclude.Rd qdap/man/plot.syllable_freq.Rd qdap/man/word_diff_list.Rd qdap/man/print.animated_lexical_classification.Rd qdap/man/qcombine.Rd qdap/man/justification.Rd qdap/man/print.kullback_leibler.Rd qdap/man/comma_spacer.Rd qdap/man/replace_contraction.Rd qdap/man/Animate.discourse_map.Rd qdap/man/print.animated_formality.Rd qdap/man/qdap_df.Rd qdap/man/cm_code.combine.Rd qdap/man/type_token_ratio.Rd qdap/man/plot.termco.Rd qdap/man/Animate.polarity.Rd qdap/man/pres_debates2012.Rd qdap/man/env.syl.Rd qdap/man/plot.subject_pronoun_type.Rd qdap/man/visual.Rd qdap/man/scores.subject_pronoun_type.Rd qdap/man/scores.automated_readability_index.Rd qdap/man/scores.formality.Rd qdap/man/discourse_map.Rd qdap/man/print.cumulative_syllable_freq.Rd qdap/man/adjacency_matrix.Rd qdap/man/Filter.Rd qdap/man/question_type.Rd qdap/man/inspect_text.Rd qdap/man/print.cumulative_animated_polarity.Rd qdap/man/plot.cumulative_polarity.Rd qdap/man/print.table_count.Rd qdap/man/plot.word_stats.Rd qdap/man/scores.character_table.Rd qdap/man/mraja1spl.Rd qdap/man/formality.Rd qdap/man/weight.Rd qdap/man/print.sub_holder.Rd qdap/man/phrase_net.Rd qdap/man/print.diversity.Rd qdap/man/pos.Rd qdap/man/plot.SMOG.Rd qdap/man/cm_df.transcript.Rd qdap/man/scores.SMOG.Rd qdap/man/multiscale.Rd qdap/man/print.fry.Rd qdap/man/print.table_score.Rd qdap/man/plot.polarity_score.Rd qdap/man/imperative.Rd qdap/man/chain.Rd qdap/man/scores.Rd qdap/man/trans_cloud.Rd qdap/man/raj.Rd qdap/man/diversity.Rd qdap/man/strWrap.Rd qdap/man/preprocessed.end_mark_by.Rd qdap/man/print.cumulative_polarity.Rd qdap/man/Network.Rd qdap/man/scores.polarity.Rd qdap/man/print.formality_scores.Rd qdap/man/plot.pos.Rd qdap/man/condense.Rd qdap/man/plot.formality.Rd qdap/man/outlier_detect.Rd qdap/man/proportions.formality.Rd qdap/man/preprocessed.object_pronoun_type.Rd qdap/man/print.character_table.Rd qdap/man/plot.character_table.Rd qdap/man/DATA.Rd qdap/man/raw.time.span.Rd qdap/man/add_incomplete.Rd qdap/man/qcv.Rd qdap/man/proportions.pos_by.Rd qdap/man/Search.Rd qdap/man/DATA.SPLIT.Rd qdap/man/plot.formality_scores.Rd qdap/man/plot.automated_readability_index.Rd qdap/man/bag_o_words.Rd qdap/man/cm_distance.Rd qdap/man/raj.act.5.Rd qdap/man/counts.object_pronoun_type.Rd qdap/man/read.transcript.Rd qdap/man/plot.word_length.Rd qdap/man/clean.Rd qdap/man/raj.act.2.Rd qdap/man/Title.Rd qdap/man/Trim.Rd qdap/man/preprocessed.lexical_classification.Rd qdap/man/proportions.question_type.Rd qdap/man/qdap.Rd qdap/man/print.pos.Rd qdap/man/outlier_labeler.Rd qdap/man/counts.automated_readability_index.Rd qdap/man/data_viewing.Rd qdap/man/Network.polarity.Rd qdap/man/plot.pronoun_type.Rd qdap/man/print.object_pronoun_type.Rd qdap/man/sentSplit.Rd qdap/man/print.readability_count.Rd qdap/man/scores.word_position.Rd qdap/man/plot.gantt.Rd qdap/man/strip.Rd qdap/man/plot.word_stats_counts.Rd qdap/man/cm_df2long.Rd qdap/man/dispersion_plot.Rd qdap/man/plot.lexical_classification_score.Rd qdap/man/bracketX.Rd qdap/man/print.table_proportion.Rd qdap/man/print.termco.Rd qdap/man/trans_venn.Rd qdap/man/word_proximity.Rd qdap/man/proportions.pronoun_type.Rd qdap/man/plot.combo_syllable_sum.Rd qdap/man/print.sum_cmspans.Rd qdap/man/plot.discourse_map.Rd qdap/man/dir_map.Rd qdap/man/rm_row.Rd qdap/man/colSplit.Rd qdap/man/syllabication.Rd qdap/man/plot.freq_terms.Rd qdap/man/Dissimilarity.Rd qdap/man/mraja1.Rd qdap/man/print.adjacency_matrix.Rd qdap/man/preprocessed.formality.Rd qdap/man/print.trunc.Rd qdap/man/plot.cumulative_animated_formality.Rd qdap/man/preprocessed.question_type.Rd qdap/man/word_associate.Rd qdap/man/word_count.Rd qdap/man/print.phrase_net.Rd qdap/man/raj.act.3.Rd qdap/man/plot.word_cor.Rd qdap/man/dist_tab.Rd qdap/man/preprocessed.check_spelling_interactive.Rd qdap/man/chunker.Rd qdap/man/plot.cumulative_combo_syllable_sum.Rd qdap/man/print.polarity_score.Rd qdap/man/print.check_spelling.Rd qdap/man/print.cumulative_combo_syllable_sum.Rd qdap/man/proportions.subject_pronoun_type.Rd qdap/man/print.cm_distance.Rd qdap/man/print.lexical_classification_by.Rd qdap/man/counts.Rd qdap/man/print.formality.Rd qdap/man/cm_df.temp.Rd qdap/man/print.end_mark_by_preprocessed.Rd qdap/man/pres_debate_raw2012.Rd qdap/man/check_spelling_interactive.factor.Rd qdap/man/qprep.Rd qdap/man/rajSPLIT.Rd qdap/man/print.question_type.Rd qdap/man/plot.table_count.Rd qdap/man/scores.end_mark_by.Rd qdap/man/gantt.Rd qdap/man/Animate.character.Rd qdap/man/counts.termco.Rd qdap/man/potential_NA.Rd qdap/man/counts.question_type.Rd qdap/man/scores.coleman_liau.Rd qdap/man/synonyms.Rd qdap/man/plot.table_score.Rd qdap/man/plot.readability_count.Rd qdap/man/counts.subject_pronoun_type.Rd qdap/man/print.coleman_liau.Rd qdap/man/plot.readability_score.Rd qdap/man/all_words.Rd qdap/man/scores.word_length.Rd qdap/man/beg2char.Rd qdap/man/print.pos_by.Rd qdap/man/Animate.lexical_classification.Rd qdap/man/plot.wfdf.Rd qdap/man/multicsv.Rd qdap/man/scores.question_type.Rd qdap/man/print.boolean_qdap.Rd qdap/man/cm_dummy2long.Rd qdap/man/plot.cumulative_animated_polarity.Rd qdap/man/print.Network.Rd qdap/man/counts.coleman_liau.Rd qdap/man/pronoun_type.Rd qdap/man/stemmer.Rd qdap/man/scores.fry.Rd qdap/man/cm_code.transform.Rd qdap/man/plot.polarity.Rd qdap/man/speakerSplit.Rd qdap/man/preprocessed.pronoun_type.Rd qdap/man/Network.lexical_classification.Rd qdap/man/freq_terms.Rd qdap/man/cumulative.Rd qdap/man/counts.pronoun_type.Rd qdap/man/plot.polarity_count.Rd qdap/man/replace_ordinal.Rd qdap/man/scores.object_pronoun_type.Rd qdap/man/Word_Frequency_Matrix.Rd qdap/man/plot.pos_by.Rd qdap/man/print.colsplit2df.Rd qdap/man/Animate.gantt_plot.Rd qdap/man/plot.sum_cmspans.Rd qdap/man/common.list.Rd qdap/man/counts.formality.Rd qdap/man/end_mark.Rd qdap/man/scores.flesch_kincaid.Rd qdap/man/print.cumulative_animated_lexical_classification.Rd qdap/man/counts.pos_by.Rd qdap/man/proportions.end_mark_by.Rd qdap/man/proportions.character_table.Rd qdap/man/blank2NA.Rd qdap/man/print.animated_polarity.Rd qdap/man/hamlet.Rd qdap/man/colcomb2class.Rd qdap/man/counts.character_table.Rd qdap/man/word_length.Rd qdap/man/cm_time.temp.Rd qdap/man/print.cumulative_animated_formality.Rd qdap/man/print.subject_pronoun_type.Rd qdap/man/plot.cm_distance.Rd qdap/man/plot.animated_polarity.Rd qdap/man/print.question_type_preprocessed.Rd qdap/man/cm_time2long.Rd qdap/man/print.readability_score.Rd qdap/man/plot.word_proximity.Rd qdap/man/ngrams.Rd qdap/man/print.end_mark_by.Rd qdap/man/plot.animated_lexical_classification.Rd qdap/man/print.end_mark.Rd qdap/man/scores.termco.Rd qdap/man/check_text.Rd qdap/man/proportions.word_position.Rd qdap/man/tot_plot.Rd qdap/man/plot.end_mark_by_proportion.Rd qdap/man/plot.end_mark_by_count.Rd qdap/man/cm_combine.dummy.Rd qdap/man/Animate.Rd qdap/man/cm_long2dummy.Rd qdap/man/capitalizer.Rd qdap/man/gradient_cloud.Rd qdap/man/print.word_associate.Rd qdap/man/word_stats.Rd qdap/man/plot.animated_discourse_map.Rd qdap/man/print.ngrams.Rd qdap/man/plot.end_mark_by_preprocessed.Rd qdap/man/plot.linsear_write_scores.Rd qdap/man/raj.act.1POS.Rd qdap/man/print.which_misspelled.Rd qdap/man/Readability.Rd qdap/man/plot.cmspans.Rd qdap/man/spaste.Rd qdap/man/as.tdm.Rd qdap/man/print.word_proximity.Rd qdap/man/cm_2long.Rd qdap/man/check_spelling_interactive.character.Rd qdap/man/raj.act.1.Rd qdap/man/print.qdapProj.Rd qdap/man/print.word_stats.Rd qdap/man/plot.coleman_liau.Rd qdap/man/plot.question_type.Rd qdap/man/counts.word_stats.Rd qdap/man/proportions.termco.Rd qdap/man/print.wfm.Rd qdap/man/plot.diversity.Rd qdap/man/print.linsear_write.Rd qdap/man/plot.weighted_wfm.Rd qdap/man/check_spelling_interactive.check_spelling.Rd qdap/man/raj.demographics.Rd qdap/man/space_fill.Rd qdap/man/DATA2.Rd qdap/man/plot.end_mark.Rd qdap/man/is.global.Rd qdap/man/preprocessed.word_position.Rd qdap/man/trans_context.Rd qdap/man/plot.linsear_write.Rd qdap/man/plot.wfm.Rd qdap/man/print.automated_readability_index.Rd qdap/man/sample.time.span.Rd qdap/man/plot.sums_gantt.Rd qdap/man/plot.lexical.Rd qdap/man/scrubber.Rd qdap/man/cm_range.temp.Rd qdap/man/add_s.Rd qdap/man/qtheme.Rd qdap/man/preprocessed.Rd qdap/man/plot.question_type_preprocessed.Rd qdap/man/print.animated_discourse_map.Rd qdap/man/Network.formality.Rd qdap/man/replacer.Rd qdap/man/print.qdap_context.Rd qdap/man/termco.Rd qdap/man/print.polarity_count.Rd qdap/man/print.type_token_ratio.Rd qdap/man/gantt_plot.Rd qdap/man/addNetwork.Rd qdap/man/t.TermDocumentMatrix.Rd qdap/man/new_project.Rd qdap/man/polarity.Rd qdap/man/summary.wfdf.Rd qdap/man/proportions.Rd qdap/man/print.polysyllable_sum.Rd qdap/man/duplicates.Rd qdap/man/counts.flesch_kincaid.Rd qdap/man/preprocessed.pos_by.Rd qdap/man/check_spelling.Rd qdap/man/scores.linsear_write.Rd qdap/man/print.flesch_kincaid.Rd qdap/man/Animate.gantt.Rd qdap/man/plot.end_mark_by_score.Rd qdap/man/power.Rd qdap/man/scores.pronoun_type.Rd qdap/man/gantt_wrap.Rd qdap/man/paste2.Rd qdap/man/plot.animated_formality.Rd qdap/man/proportions.word_length.Rd qdap/man/counts.word_length.Rd qdap/man/print.cumulative_lexical_classification.Rd qdap/man/print.check_text.Rd qdap/man/counts.word_position.Rd qdap/man/plot.cumulative_formality.Rd qdap/man/print.all_words.Rd qdap/man/replace_abbreviation.Rd qdap/man/plot.pos_preprocessed.Rd qdap/man/print.word_list.Rd qdap/man/plot.cumulative_animated_lexical_classification.Rd qdap/man/counts.fry.Rd qdap/man/print.sums_gantt.Rd qdap/man/word_cor.Rd qdap/man/counts.end_mark_by.Rd qdap/man/print.cumulative_end_mark.Rd qdap/man/build_qdap_vignette.Rd qdap/man/counts.linsear_write.Rd qdap/man/plot.lexical_classification_preprocessed.Rd qdap/man/plot.flesch_kincaid.Rd qdap/man/print.syllable_sum.Rd qdap/man/word_position.Rd qdap/man/print.wfm_summary.Rd qdap/man/print.sent_split.Rd qdap/man/preprocessed.subject_pronoun_type.Rd 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