A B C D E F G H I K L M N O P Q R S T U V W misc
| add_incomplete | Detect Incomplete Sentences; Add | Endmark | 
| add_s | Make Plural (or Verb to Singular) Versions of Words | 
| adjacency_matrix | Takes a Matrix and Generates an Adjacency Matrix | 
| adjmat | 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 | 
| apply_as_df | tm Package Compatibility Tools: Apply to or Convert to/from Term Document Matrix or Document Term Matrix | 
| apply_as_tm | tm Package Compatibility Tools: Apply to or Convert to/from Term Document Matrix or Document Term Matrix | 
| as.Corpus | tm Package Compatibility Tools: Apply to or Convert to/from Term Document Matrix or Document Term Matrix | 
| as.Corpus.default | tm Package Compatibility Tools: Apply to or Convert to/from Term Document Matrix or Document Term Matrix | 
| as.Corpus.DocumentTermMatrix | tm Package Compatibility Tools: Apply to or Convert to/from Term Document Matrix or Document Term Matrix | 
| as.Corpus.sent_split | tm Package Compatibility Tools: Apply to or Convert to/from Term Document Matrix or Document Term Matrix | 
| as.Corpus.TermDocumentMatrix | tm Package Compatibility Tools: Apply to or Convert to/from Term Document Matrix or Document Term Matrix | 
| as.Corpus.wfm | tm Package Compatibility Tools: Apply to or Convert to/from Term Document Matrix or Document Term Matrix | 
| as.data.frame.Corpus | tm Package Compatibility Tools: Apply to or Convert to/from Term Document Matrix or Document Term Matrix | 
| as.DocumentTermMatrix | tm Package Compatibility Tools: Apply to or Convert to/from Term Document Matrix or Document Term Matrix | 
| as.dtm | tm Package Compatibility Tools: Apply to or Convert to/from Term Document Matrix or Document Term Matrix | 
| as.dtm.character | tm Package Compatibility Tools: Apply to or Convert to/from Term Document Matrix or Document Term Matrix | 
| as.dtm.Corpus | tm Package Compatibility Tools: Apply to or Convert to/from Term Document Matrix or Document Term Matrix | 
| as.dtm.default | tm Package Compatibility Tools: Apply to or Convert to/from Term Document Matrix or Document Term Matrix | 
| as.dtm.wfm | tm Package Compatibility Tools: Apply to or Convert to/from Term Document Matrix or Document Term Matrix | 
| as.tdm | tm Package Compatibility Tools: Apply to or Convert to/from Term Document Matrix or Document Term Matrix | 
| as.tdm.character | tm Package Compatibility Tools: Apply to or Convert to/from Term Document Matrix or Document Term Matrix | 
| as.tdm.Corpus | tm Package Compatibility Tools: Apply to or Convert to/from Term Document Matrix or Document Term Matrix | 
| as.tdm.default | tm Package Compatibility Tools: Apply to or Convert to/from Term Document Matrix or Document Term Matrix | 
| as.tdm.wfm | tm Package Compatibility Tools: Apply to or Convert to/from Term Document Matrix or Document Term Matrix | 
| as.TermDocumentMatrix | tm Package Compatibility Tools: Apply to or Convert to/from Term Document Matrix or Document Term Matrix | 
| as.wfm | Word Frequency Matrix | 
| as.wfm.Corpus | Word Frequency Matrix | 
| as.wfm.data.frame | Word Frequency Matrix | 
| as.wfm.default | Word Frequency Matrix | 
| as.wfm.DocumentTermMatrix | Word Frequency Matrix | 
| as.wfm.matrix | Word Frequency Matrix | 
| as.wfm.TermDocumentMatrix | Word Frequency Matrix | 
| as.wfm.wfdf | Word Frequency Matrix | 
| automated_readability_index | Readability Measures | 
| bag_o_words | Bag of Words | 
| beg2char | Grab Begin/End of String to Character | 
| blank2NA | Replace Blanks in a dataframe | 
| boolean_search | Search Columns of a Data Frame | 
| bracketX | Bracket Parsing | 
| bracketXtract | Bracket Parsing | 
| breaker | Bag of Words | 
| build_qdap_vignette | Replace Temporary Introduction to qdap Vignette | 
| capitalizer | Capitalize Select Words | 
| char2end | Grab Begin/End of String to Character | 
| character_count | Word Counts | 
| character_table | Word Counts | 
| char_table | Word Counts | 
| check_spelling | Check Spelling | 
| check_spelling_interactive | 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_df.fill | Range Coding | 
| cm_df.temp | Break Transcript Dialogue into Blank Code Matrix | 
| cm_df.transcript | Transcript With Word Number | 
| cm_df2long | Transform Codes to Start-End Durations | 
| cm_distance | Distance Matrix Between Codes | 
| cm_dummy2long | Convert cm_combine.dummy Back to Long | 
| cm_long2dummy | Stretch and Dummy Code cm_xxx2long | 
| cm_range.temp | Range Code Sheet | 
| cm_range2long | Transform Codes to Start-End Durations | 
| cm_time.temp | Time Span Code Sheet | 
| cm_time2long | Transform Codes to Start-End Times | 
| colcomb2class | Combine Columns to Class | 
| coleman_liau | Readability Measures | 
| colpaste2df | Paste an Unspecified Number Of Text Columns | 
| colSplit | Separate a Column Pasted by paste2 | 
| colsplit2df | Wrapper for colSplit that Returns Dataframe(s) | 
| combo_syllable_sum | Syllabication | 
| comma_spacer | Ensure Space After Comma | 
| common | Find Common Words Between Groups | 
| common.list | list Method for common | 
| condense | Condense Dataframe Columns | 
| correct | Check Spelling | 
| 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 | 
| cumulative.animated_formality | Cumulative Scores | 
| cumulative.animated_lexical_classification | Cumulative Scores | 
| cumulative.animated_polarity | Cumulative Scores | 
| cumulative.combo_syllable_sum | Cumulative Scores | 
| cumulative.end_mark | Cumulative Scores | 
| cumulative.formality | Cumulative Scores | 
| cumulative.lexical_classification | Cumulative Scores | 
| cumulative.polarity | Cumulative Scores | 
| cumulative.pos | Cumulative Scores | 
| cumulative.pos_by | Cumulative Scores | 
| cumulative.syllable_freq | Cumulative Scores | 
| DATA | Fictitious Classroom Dialogue | 
| DATA.SPLIT | Fictitious Split Sentence Classroom Dialogue | 
| DATA2 | Fictitious Repeated Measures Classroom Dialogue | 
| delete | Easy File Handling | 
| 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 | 
| edge_apply | Apply Parameter to List of Igraph Vertices/Edges | 
| end_inc | Test for Incomplete Sentences | 
| end_mark | Sentence End Marks | 
| end_mark_by | Sentence End Marks | 
| env.syl | Syllable Lookup Environment | 
| exclude | Exclude Elements From a Vector | 
| exclude.default | Exclude Elements From a Vector | 
| exclude.DocumentTermMatrix | Exclude Elements From a Vector | 
| exclude.list | Exclude Elements From a Vector | 
| exclude.TermDocumentMatrix | Exclude Elements From a Vector | 
| exclude.wfm | Exclude Elements From a Vector | 
| Filter | Filter | 
| Filter.all_words | Filter | 
| Filter.character | Filter | 
| Filter.DocumentTermMatrix | Filter | 
| Filter.fswl | Filter | 
| Filter.fwl | Filter | 
| Filter.rfswl | Filter | 
| Filter.TermDocumentMatrix | Filter | 
| Filter.wfm | Filter | 
| flesch_kincaid | Readability Measures | 
| folder | Easy File Handling | 
| formality | Formality Score | 
| freq_terms | Find Frequent Terms | 
| fry | Readability Measures | 
| gantt | Gantt Durations | 
| gantt_plot | Gantt Plot | 
| gantt_rep | Generate Unit Spans for Repeated Measures | 
| gantt_wrap | Gantt Plot | 
| genX | Bracket Parsing | 
| genXtract | Bracket Parsing | 
| gradient_cloud | Gradient Word Cloud | 
| hamlet | Hamlet (Complete & Split by Sentence) | 
| htruncdf | Dataframe Viewing | 
| imperative | Intuitively Remark Sentences as Imperative | 
| incomp | Denote Incomplete End Marks With "|" | 
| incomplete_replace | Denote Incomplete End Marks With "|" | 
| inspect_text | Inspect Text Vectors | 
| inspect_text.Corpus | Inspect Text Vectors | 
| inspect_text.default | Inspect Text Vectors | 
| is.global | Test If Environment is Global | 
| key_merge | Merge Demographic Information with Person/Text Transcript | 
| kullback_leibler | Kullback Leibler Statistic | 
| lcolsplit2df | Wrapper for colSplit that Returns Dataframe(s) | 
| left_just | Text Justification | 
| lexical_classification | Lexical Classification Score | 
| linsear_write | Readability Measures | 
| ltruncdf | Dataframe Viewing | 
| lview | Dataframe Viewing | 
| mcsv_r | Read/Write Multiple csv Files at a Time | 
| mcsv_w | Read/Write Multiple csv Files at a Time | 
| mgsub | Multiple gsub | 
| mraja1 | Romeo and Juliet: Act 1 Dialogue Merged with Demographics | 
| mraja1spl | Romeo and Juliet: Act 1 Dialogue Merged with Demographics and Split | 
| 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 | 
| package-qdap | qdap: Quantitative Discourse Analysis Package | 
| 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.cmspans | Plots a cmspans object | 
| plot.cm_distance | Plots a cm_distance 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.sums_gantt | Plots a sums_gantt object | 
| plot.sum_cmspans | Plot Summary Stats for a Summary of a cmspans 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 | 
| plot_gantt_base | Gantt Durations | 
| polarity | Polarity Score (Sentiment Analysis) | 
| polysyllable_sum | Syllabication | 
| pos | Parts of Speech Tagging | 
| pos_by | Parts of Speech Tagging | 
| pos_tags | Parts of Speech Tagging | 
| potential_NA | Search for Potential Missing Values | 
| 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_debates2012 | 2012 U.S. Presidential Debates | 
| pres_debate_raw2012 | First 2012 U.S. Presidential Debate | 
| 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.qdapProj | Prints a qdapProj Object | 
| print.qdap_context | Prints a qdap_context 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.subject_pronoun_type | Prints a subject_pronoun_type object | 
| print.sub_holder | Prints a sub_holder object | 
| print.sums_gantt | Prints a sums_gantt object | 
| print.sum_cmspans | Prints a sum_cmspans 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 | 
| qheat.character_table | Quick Heatmap | 
| qheat.default | Quick Heatmap | 
| qheat.diversity | Quick Heatmap | 
| qheat.pos_by | Quick Heatmap | 
| qheat.question_type | Quick Heatmap | 
| qheat.termco | Quick Heatmap | 
| qheat.word_stats | Quick Heatmap | 
| qprep | Quick Preparation of Text | 
| qtheme | Add themes to a Network object. | 
| question_type | Count of Question Type | 
| qview | Dataframe Viewing | 
| 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 containing a list from 'pos_by' using the 'mraja1spl' data set (see 'pos_by' for more information). | 
| 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 | 
| random_sent | Generate Random Dialogue Data | 
| rank_freq_mplot | Rank Frequency Plot | 
| rank_freq_plot | Rank Frequency Plot | 
| raw.time.span | Minimal Raw Time Span Data Set | 
| read.transcript | Read Transcripts Into R | 
| replacer | Replace Cells in a Matrix or Data Frame | 
| replace_abbreviation | Replace Abbreviations | 
| replace_contraction | Replace Contractions | 
| replace_number | Replace Numbers With Text Representation | 
| replace_ordinal | Replace Mixed Ordinal Numbers With Text Representation | 
| replace_symbol | Replace Symbols With Word Equivalents | 
| right_just | Text Justification | 
| rm_empty_row | Remove Rows That Contain Markers | 
| rm_row | Remove Rows That Contain Markers | 
| rm_stop | Remove Stop Words | 
| 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 | 
| sentCombine | Sentence Splitting | 
| sentiment_frame | Power Score (Sentiment Analysis) | 
| sentSplit | Sentence Splitting | 
| sent_detect | Sentence Splitting | 
| sent_detect_nlp | Sentence Splitting | 
| SMOG | Readability Measures | 
| space_fill | Replace Spaces | 
| spaste | Add Leading/Trailing Spaces | 
| speakerSplit | Break and Stretch if Multiple Persons per Cell | 
| stem2df | Stem Text | 
| stemmer | Stem Text | 
| stem_words | Stem Text | 
| strip | Strip Text | 
| strip.character | Strip Text | 
| strip.default | Strip Text | 
| strip.factor | Strip Text | 
| strip.list | Strip Text | 
| strWrap | Wrap Character Strings to Format Paragraphs | 
| subject_pronoun_type | Count Subject Pronouns Per Grouping Variable | 
| sub_holder | Multiple gsub | 
| summary.cmspans | Summarize a cmspans object | 
| summary.wfdf | Summarize a wfdf object | 
| summary.wfm | Summarize a wfm object | 
| syllable_count | Syllabication | 
| syllable_sum | Syllabication | 
| syn | Search For Synonyms | 
| synonyms | Search For Synonyms | 
| synonyms_frame | Search For Synonyms | 
| syn_frame | Search For Synonyms | 
| termco | Search For and Count Terms | 
| termco2mat | Search For and Count Terms | 
| termco_c | Combine Columns from a termco Object | 
| termco_d | Search For and Count Terms | 
| term_match | Search For and Count Terms | 
| Text | Create qdap Specific Data Structure | 
| Text<- | Create qdap Specific Data Structure | 
| theme_badkitchen | Add themes to a Network object. | 
| theme_cafe | Add themes to a Network object. | 
| theme_duskheat | Add themes to a Network object. | 
| theme_grayscale | Add themes to a Network object. | 
| theme_greyscale | Add themes to a Network object. | 
| theme_hipster | Add themes to a Network object. | 
| theme_nightheat | Add themes to a Network object. | 
| theme_norah | Add themes to a Network object. | 
| Title | Add Title to Select qdap Plots | 
| Title<- | Add Title to Select qdap Plots | 
| TOT | Sentence Splitting | 
| 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 | 
| truncdf | Dataframe Viewing | 
| type_token_ratio | Type-Token Ratio | 
| unbag | Bag of Words | 
| unique_by | Find Unique Words by Grouping Variable | 
| vertex_apply | Apply Parameter to List of Igraph Vertices/Edges | 
| visual | Generic visual Method | 
| visual.discourse_map | Discourse Map | 
| wc | Word Counts | 
| weight | Weight a qdap Object | 
| weight.wfdf | Word Frequency Matrix | 
| weight.wfm | Word Frequency Matrix | 
| weight.word_proximity | Proximity Matrix Between Words | 
| wfdf | Word Frequency Matrix | 
| wfm | Word Frequency Matrix | 
| wfm.character | Word Frequency Matrix | 
| wfm.Corpus | Word Frequency Matrix | 
| wfm.factor | Word Frequency Matrix | 
| wfm.wfdf | Word Frequency Matrix | 
| wfm_combine | Word Frequency Matrix | 
| wfm_expanded | Word Frequency Matrix | 
| which_misspelled | Check Spelling | 
| word_associate | Find Associated Words | 
| word_cor | Find Correlated Words | 
| word_count | Word Counts | 
| word_diff_list | Differences In Word Use Between Groups | 
| 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_split | Bag of Words | 
| word_stats | Descriptive Word Statistics | 
| %&% | qdap Chaining | 
| %>% | qdap Chaining | 
| %bs% | Search Columns of a Data Frame | 
| %ex% | Exclude Elements From a Vector | 
| %sw% | Remove Stop Words | 
| +.Network | Add themes to a Network object. |