| qdap Chaining | %&% %>% |
| Add themes to a Network object. | +.Network |
| Detect Incomplete Sentences; Add | Endmark | add_incomplete |
| Make Plural (or Verb to Singular) Versions of Words | add_s |
| Takes a Matrix and Generates an Adjacency Matrix | adjacency_matrix adjmat |
| Searches Text Column for Words | all_words |
| Generic Animate Method | Animate |
| Animate Character | Animate.character |
| Discourse Map | Animate.discourse_map |
| Animate Formality | Animate.formality |
| Gantt Durations | Animate.gantt |
| Gantt Plot | Animate.gantt_plot |
| Animate Formality | Animate.lexical_classification |
| Animate Polarity | Animate.polarity |
| tm Package Compatibility Tools: Apply to or Convert to/from Term Document Matrix or Document Term Matrix | apply_as_df apply_as_tm as.Corpus as.Corpus.default as.Corpus.DocumentTermMatrix as.Corpus.sent_split as.Corpus.TermDocumentMatrix as.Corpus.wfm as.data.frame.Corpus as.DocumentTermMatrix as.dtm as.dtm.character as.dtm.Corpus as.dtm.default as.dtm.wfm as.tdm as.tdm.character as.tdm.Corpus as.tdm.default as.tdm.wfm as.TermDocumentMatrix |
| Readability Measures | automated_readability_index coleman_liau flesch_kincaid fry linsear_write SMOG |
| Bag of Words | bag_o_words breaker unbag word_split |
| Grab Begin/End of String to Character | beg2char char2end |
| Replace Blanks in a dataframe | blank2NA |
| Bracket Parsing | bracketX bracketXtract genX genXtract |
| Replace Temporary Introduction to qdap Vignette | build_qdap_vignette |
| Capitalize Select Words | capitalizer |
| Check Spelling | check_spelling check_spelling_interactive correct which_misspelled |
| Check Spelling | check_spelling_interactive.character |
| Check Spelling | check_spelling_interactive.check_spelling |
| Check Spelling | check_spelling_interactive.factor |
| Check Text For Potential Problems | check_text |
| Break Text Into Ordered Word Chunks | chunker |
| Remove Escaped Characters | clean |
| A Generic to Long Function | cm_2long |
| Blank Code Transformation | cm_code.blank |
| Combine Codes | cm_code.combine |
| Exclude Codes | cm_code.exclude |
| Find Co-occurrence Between Codes | cm_code.overlap |
| Transform Codes | cm_code.transform |
| Find Co-occurrence Between Dummy Codes | cm_combine.dummy |
| Range Coding | cm_df.fill |
| Break Transcript Dialogue into Blank Code Matrix | cm_df.temp |
| Transcript With Word Number | cm_df.transcript |
| Transform Codes to Start-End Durations | cm_df2long |
| Distance Matrix Between Codes | cm_distance |
| Convert cm_combine.dummy Back to Long | cm_dummy2long |
| Stretch and Dummy Code cm_xxx2long | cm_long2dummy |
| Range Code Sheet | cm_range.temp |
| Transform Codes to Start-End Durations | cm_range2long |
| Time Span Code Sheet | cm_time.temp |
| Transform Codes to Start-End Times | cm_time2long |
| Combine Columns to Class | colcomb2class |
| Separate a Column Pasted by paste2 | colSplit |
| Wrapper for colSplit that Returns Dataframe(s) | colsplit2df lcolsplit2df |
| Ensure Space After Comma | comma_spacer |
| Find Common Words Between Groups | common |
| list Method for common | common.list |
| Condense Dataframe Columns | condense |
| Generic Counts Method | counts |
| Readability Measures | counts.automated_readability_index |
| Term Counts | counts.character_table |
| Readability Measures | counts.coleman_liau |
| Question Counts | counts.end_mark_by |
| Readability Measures | counts.flesch_kincaid |
| Formality | counts.formality |
| Readability Measures | counts.fry |
| Readability Measures | counts.linsear_write |
| Question Counts | counts.object_pronoun_type |
| Polarity | counts.polarity |
| Parts of Speech | counts.pos |
| Parts of Speech | counts.pos_by |
| Question Counts | counts.pronoun_type |
| Question Counts | counts.question_type |
| Readability Measures | counts.SMOG |
| Question Counts | counts.subject_pronoun_type |
| Term Counts | counts.termco |
| Word Length Counts | counts.word_length |
| Word Position | counts.word_position |
| Word Stats | counts.word_stats |
| Cumulative Scores | cumulative cumulative.animated_formality cumulative.animated_lexical_classification cumulative.animated_polarity cumulative.combo_syllable_sum cumulative.end_mark cumulative.formality cumulative.lexical_classification cumulative.polarity cumulative.pos cumulative.pos_by cumulative.syllable_freq |
| Fictitious Classroom Dialogue | DATA |
| Fictitious Split Sentence Classroom Dialogue | DATA.SPLIT |
| Fictitious Repeated Measures Classroom Dialogue | DATA2 |
| Easy File Handling | delete folder |
| Map Transcript Files from a Directory to a Script | dir_map |
| Discourse Mapping | discourse_map |
| Lexical Dispersion Plot | dispersion_plot |
| Dissimilarity Statistics | Dissimilarity |
| SPSS Style Frequency Tables | dist_tab |
| Diversity Statistics | diversity |
| Find Duplicated Words in a Text String | duplicates |
| Test for Incomplete Sentences | end_inc |
| Sentence End Marks | end_mark end_mark_by |
| Syllable Lookup Environment | env.syl |
| Exclude Elements From a Vector | %ex% exclude exclude.default exclude.DocumentTermMatrix exclude.list exclude.TermDocumentMatrix exclude.wfm |
| Filter | Filter Filter.all_words Filter.character Filter.DocumentTermMatrix Filter.fswl Filter.fwl Filter.rfswl Filter.TermDocumentMatrix Filter.wfm |
| Formality Score | formality |
| Find Frequent Terms | freq_terms |
| Gantt Durations | gantt plot_gantt_base |
| Gantt Plot | gantt_plot |
| Generate Unit Spans for Repeated Measures | gantt_rep |
| Gantt Plot | gantt_wrap |
| Gradient Word Cloud | gradient_cloud |
| Hamlet (Complete & Split by Sentence) | hamlet |
| Dataframe Viewing | htruncdf ltruncdf lview qview truncdf |
| Intuitively Remark Sentences as Imperative | imperative |
| Denote Incomplete End Marks With "|" | incomp incomplete_replace |
| Inspect Text Vectors | inspect_text inspect_text.Corpus inspect_text.default |
| Test If Environment is Global | is.global |
| Merge Demographic Information with Person/Text Transcript | key_merge |
| Kullback Leibler Statistic | kullback_leibler |
| Text Justification | left_just right_just |
| Lexical Classification Score | lexical_classification |
| Read/Write Multiple csv Files at a Time | mcsv_r mcsv_w |
| Romeo and Juliet: Act 1 Dialogue Merged with Demographics | mraja1 |
| Romeo and Juliet: Act 1 Dialogue Merged with Demographics and Split | mraja1spl |
| Multiple gsub | mgsub multigsub sub_holder |
| Nested Standardization | multiscale |
| Replace Missing Values (NA) | NAer |
| Names to Gender | name2sex |
| Generic Network Method | Network |
| Network Formality | Network.formality |
| Network Lexical Classification | Network.lexical_classification |
| Network Polarity | Network.polarity |
| Project Template | new_project |
| Generate ngrams | ngrams |
| Count Object Pronouns Per Grouping Variable | object_pronoun_type |
| Detect Outliers in Text | outlier_detect |
| Locate Outliers in Numeric String | outlier_labeler |
| Paste an Unspecified Number Of Text Columns | colpaste2df paste2 |
| Phrase Nets | phrase_net |
| Plots an animated_character Object | plot.animated_character |
| Plots an animated_discourse_map Object | plot.animated_discourse_map |
| Plots a animated_formality Object | plot.animated_formality |
| Plots an animated_lexical_classification Object | plot.animated_lexical_classification |
| Plots an animated_polarity Object | plot.animated_polarity |
| Plots a automated_readability_index Object | plot.automated_readability_index |
| Plots a character_table Object | plot.character_table |
| Plots a cm_distance object | plot.cm_distance |
| Plots a cmspans object | plot.cmspans |
| Plots a coleman_liau Object | plot.coleman_liau |
| Plots a combo_syllable_sum Object | plot.combo_syllable_sum |
| Plots a cumulative_animated_formality Object | plot.cumulative_animated_formality |
| Plots a cumulative_animated_lexical_classification Object | plot.cumulative_animated_lexical_classification |
| Plots a cumulative_animated_polarity Object | plot.cumulative_animated_polarity |
| Plots a cumulative_combo_syllable_sum Object | plot.cumulative_combo_syllable_sum |
| Plots a cumulative_end_mark Object | plot.cumulative_end_mark |
| Plots a cumulative_formality Object | plot.cumulative_formality |
| Plots a cumulative_lexical_classification Object | plot.cumulative_lexical_classification |
| Plots a cumulative_polarity Object | plot.cumulative_polarity |
| Plots a cumulative_syllable_freq Object | plot.cumulative_syllable_freq |
| Plots a discourse_map Object | plot.discourse_map |
| Plots a diversity object | plot.diversity |
| Plots an end_mark Object | plot.end_mark |
| Plots a end_mark_by Object | plot.end_mark_by |
| Plots a end_mark_by_count Object | plot.end_mark_by_count |
| Plots a end_mark_by_preprocessed Object | plot.end_mark_by_preprocessed |
| Plots a end_mark_by_proportion Object | plot.end_mark_by_proportion |
| Plots a end_mark_by_score Object | plot.end_mark_by_score |
| Plots a flesch_kincaid Object | plot.flesch_kincaid |
| Plots a formality Object | plot.formality |
| Plots a formality_scores Object | plot.formality_scores |
| Plots a freq_terms Object | plot.freq_terms |
| Plots a gantt object | plot.gantt |
| Plots a kullback_leibler object | plot.kullback_leibler |
| Plots a lexical Object | plot.lexical |
| Plots a lexical_classification Object | plot.lexical_classification |
| Plots a lexical_classification_preprocessed Object | plot.lexical_classification_preprocessed |
| Plots a lexical_classification_score Object | plot.lexical_classification_score |
| Plots a linsear_write Object | plot.linsear_write |
| Plots a linsear_write_count Object | plot.linsear_write_count |
| Plots a linsear_write_scores Object | plot.linsear_write_scores |
| Plots a Network Object | plot.Network |
| Plots an object_pronoun_type Object | plot.object_pronoun_type |
| Plots a polarity Object | plot.polarity |
| Plots a polarity_count Object | plot.polarity_count |
| Plots a polarity_score Object | plot.polarity_score |
| Plots a pos Object | plot.pos |
| Plots a pos_by Object | plot.pos_by |
| Plots a pos_preprocessed Object | plot.pos_preprocessed |
| Plots an pronoun_type Object | plot.pronoun_type |
| Plots a question_type Object | plot.question_type |
| Plots a question_type_preprocessed Object | plot.question_type_preprocessed |
| Plots a readability_count Object | plot.readability_count |
| Plots a readability_score Object | plot.readability_score |
| Plots a rmgantt object | plot.rmgantt |
| Plots a sent_split Object | plot.sent_split |
| Plots a SMOG Object | plot.SMOG |
| Plots an subject_pronoun_type Object | plot.subject_pronoun_type |
| Plot Summary Stats for a Summary of a cmspans Object | plot.sum_cmspans |
| Plots a sums_gantt object | plot.sums_gantt |
| Plots a syllable_freq Object | plot.syllable_freq |
| Plots a table_count Object | plot.table_count |
| Plots a table_proportion Object | plot.table_proportion |
| Plots a table_score Object | plot.table_score |
| Plots a termco object | plot.termco |
| Plots a type_token_ratio Object | plot.type_token_ratio |
| Plots a weighted_wfm object | plot.weighted_wfm |
| Plots a wfdf object | plot.wfdf |
| Plots a wfm object | plot.wfm |
| Plots a word_cor object | plot.word_cor |
| Plots a word_length Object | plot.word_length |
| Plots a word_position object | plot.word_position |
| Plots a word_proximity object | plot.word_proximity |
| Plots a word_stats object | plot.word_stats |
| Plots a word_stats_counts Object | plot.word_stats_counts |
| Polarity Score (Sentiment Analysis) | polarity |
| Parts of Speech Tagging | pos pos_by pos_tags |
| Search for Potential Missing Values | potential_NA |
| Generic Preprocessed Method | preprocessed |
| Check Spelling | preprocessed.check_spelling_interactive |
| Question Counts | preprocessed.end_mark_by |
| Formality | preprocessed.formality |
| Lexical Classification | preprocessed.lexical_classification |
| Question Counts | preprocessed.object_pronoun_type |
| Parts of Speech | preprocessed.pos |
| Parts of Speech | preprocessed.pos_by |
| Question Counts | preprocessed.pronoun_type |
| Question Counts | preprocessed.question_type |
| Question Counts | preprocessed.subject_pronoun_type |
| Word Position | preprocessed.word_position |
| First 2012 U.S. Presidential Debate | pres_debate_raw2012 |
| 2012 U.S. Presidential Debates | pres_debates2012 |
| Prints an adjacency_matrix Object | print.adjacency_matrix |
| Prints an all_words Object | print.all_words |
| Prints an animated_character Object | print.animated_character |
| Prints an animated_discourse_map Object | print.animated_discourse_map |
| Prints a animated_formality Object | print.animated_formality |
| Prints an animated_lexical_classification Object | print.animated_lexical_classification |
| Prints an animated_polarity Object | print.animated_polarity |
| Prints an automated_readability_index Object | print.automated_readability_index |
| Prints a boolean_qdap object | print.boolean_qdap |
| Prints a character_table object | print.character_table |
| Prints a check_spelling Object | print.check_spelling |
| Prints a check_spelling_interactive Object | print.check_spelling_interactive |
| Prints a check_text Object | print.check_text |
| Prints a cm_distance Object | print.cm_distance |
| Prints an coleman_liau Object | print.coleman_liau |
| Prints a colsplit2df Object. | print.colsplit2df |
| Prints an combo_syllable_sum object | print.combo_syllable_sum |
| Prints a cumulative_animated_formality Object | print.cumulative_animated_formality |
| Prints a cumulative_animated_lexical_classification Object | print.cumulative_animated_lexical_classification |
| Prints a cumulative_animated_polarity Object | print.cumulative_animated_polarity |
| Prints a cumulative_combo_syllable_sum Object | print.cumulative_combo_syllable_sum |
| Prints a cumulative_end_mark Object | print.cumulative_end_mark |
| Prints a cumulative_formality Object | print.cumulative_formality |
| Prints a cumulative_lexical_classification Object | print.cumulative_lexical_classification |
| Prints a cumulative_polarity Object | print.cumulative_polarity |
| Prints a cumulative_syllable_freqObject | print.cumulative_syllable_freq |
| Prints a discourse_map Object | print.discourse_map |
| Prints a Dissimilarity object | print.Dissimilarity |
| Prints a diversity object | print.diversity |
| Prints an end_mark object | print.end_mark |
| Prints an end_mark_by object | print.end_mark_by |
| Prints a end_mark_by_preprocessed object | print.end_mark_by_preprocessed |
| Prints an flesch_kincaid Object | print.flesch_kincaid |
| Prints a formality Object | print.formality |
| Prints a formality_scores object | print.formality_scores |
| Prints an fry Object | print.fry |
| Prints an inspect_text Object | print.inspect_text |
| Prints a kullback_leibler Object. | print.kullback_leibler |
| Prints an lexical_classification Object | print.lexical_classification |
| Prints a lexical_classification Object | print.lexical_classification_by |
| Prints a lexical_classification_preprocessed Object | print.lexical_classification_preprocessed |
| Prints a lexical_classification_score Object | print.lexical_classification_score |
| Prints an linsear_write Object | print.linsear_write |
| Prints a linsear_write_count Object | print.linsear_write_count |
| Prints a linsear_write_scores Object | print.linsear_write_scores |
| Prints a Network Object | print.Network |
| Prints an ngrams object | print.ngrams |
| Prints a object_pronoun_type object | print.object_pronoun_type |
| Prints a phrase_net Object | print.phrase_net |
| Prints an polarity Object | print.polarity |
| Prints a polarity_count Object | print.polarity_count |
| Prints a polarity_score Object | print.polarity_score |
| Prints an polysyllable_sum object | print.polysyllable_sum |
| Prints a pos Object. | print.pos |
| Prints a pos_by Object. | print.pos_by |
| Prints a pos_preprocessed object | print.pos_preprocessed |
| Prints a pronoun_type object | print.pronoun_type |
| Prints a qdap_context object | print.qdap_context |
| Prints a qdapProj Object | print.qdapProj |
| Prints a question_type object | print.question_type |
| Prints a question_type_preprocessed object | print.question_type_preprocessed |
| Prints a readability_count Object | print.readability_count |
| Prints a readability_score Object | print.readability_score |
| Prints a sent_split object | print.sent_split |
| Prints an SMOG Object | print.SMOG |
| Prints a sub_holder object | print.sub_holder |
| Prints a subject_pronoun_type object | print.subject_pronoun_type |
| Prints a sum_cmspans object | print.sum_cmspans |
| Prints a sums_gantt object | print.sums_gantt |
| Prints an syllable_sum object | print.syllable_sum |
| Prints a table_count object | print.table_count |
| Prints a table_proportion object | print.table_proportion |
| Prints a table_score object | print.table_score |
| Prints a termco object. | print.termco |
| Prints a trunc object | print.trunc |
| Prints a type_token_ratio Object | print.type_token_ratio |
| Prints a wfm Object | print.wfm |
| Prints a wfm_summary Object | print.wfm_summary |
| Prints a which_misspelled Object | print.which_misspelled |
| Prints a word_associate object | print.word_associate |
| Prints a word_cor object | print.word_cor |
| Prints a word_length object | print.word_length |
| Prints a word_list Object | print.word_list |
| Prints a word_position object. | print.word_position |
| Prints a word_proximity object | print.word_proximity |
| Prints a word_stats object | print.word_stats |
| Prints a word_stats_counts object | print.word_stats_counts |
| Count Object/Subject Pronouns Per Grouping Variable | pronoun_type |
| Convert Raw Numeric Matrix or Data Frame to Proportions | prop |
| Generic Proportions Method | proportions |
| Term Counts | proportions.character_table |
| Question Counts | proportions.end_mark_by |
| Formality | proportions.formality |
| Question Counts | proportions.object_pronoun_type |
| Parts of Speech | proportions.pos |
| Parts of Speech | proportions.pos_by |
| Question Counts | proportions.pronoun_type |
| Question Counts | proportions.question_type |
| Question Counts | proportions.subject_pronoun_type |
| Term Counts | proportions.termco |
| Word Length Counts | proportions.word_length |
| Word Position | proportions.word_position |
| Combine Columns | qcombine |
| Quick Character Vector | qcv |
| qdap: Quantitative Discourse Analysis Package | package-qdap qdap |
| Create qdap Specific Data Structure | qdap_df Text Text<- |
| Quick Heatmap | qheat qheat.character_table qheat.default qheat.diversity qheat.pos_by qheat.question_type qheat.termco qheat.word_stats |
| Quick Preparation of Text | qprep |
| Add themes to a Network object. | qtheme theme_badkitchen theme_cafe theme_duskheat theme_grayscale theme_greyscale theme_hipster theme_nightheat theme_norah |
| Count of Question Type | question_type |
| Romeo and Juliet (Unchanged & Complete) | raj |
| Romeo and Juliet: Act 1 | raj.act.1 |
| 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.1POS |
| Romeo and Juliet: Act 2 | raj.act.2 |
| Romeo and Juliet: Act 3 | raj.act.3 |
| Romeo and Juliet: Act 4 | raj.act.4 |
| Romeo and Juliet: Act 5 | raj.act.5 |
| Romeo and Juliet Demographics | raj.demographics |
| Romeo and Juliet Split in Parts of Speech | rajPOS |
| Romeo and Juliet (Complete & Split) | rajSPLIT |
| Generate Random Dialogue Data | random_data random_sent |
| Rank Frequency Plot | rank_freq_mplot rank_freq_plot |
| Minimal Raw Time Span Data Set | raw.time.span |
| Read Transcripts Into R | read.transcript |
| Replace Abbreviations | replace_abbreviation |
| Replace Contractions | replace_contraction |
| Replace Numbers With Text Representation | replace_number |
| Replace Mixed Ordinal Numbers With Text Representation | replace_ordinal |
| Replace Symbols With Word Equivalents | replace_symbol |
| Replace Cells in a Matrix or Data Frame | replacer |
| Remove Rows That Contain Markers | rm_empty_row rm_row |
| Remove Stop Words | %sw% rm_stop rm_stopwords |
| Minimal Time Span Data Set | sample.time.span |
| Generic Scores Method | scores |
| Readability Measures | scores.automated_readability_index |
| Term Counts | scores.character_table |
| Readability Measures | scores.coleman_liau |
| Question Counts | scores.end_mark_by |
| Readability Measures | scores.flesch_kincaid |
| Formality | scores.formality |
| Readability Measures | scores.fry |
| Lexical Classification | scores.lexical_classification |
| Readability Measures | scores.linsear_write |
| Question Counts | scores.object_pronoun_type |
| Polarity | scores.polarity |
| Parts of Speech | scores.pos_by |
| Question Counts | scores.pronoun_type |
| Question Counts | scores.question_type |
| Readability Measures | scores.SMOG |
| Question Counts | scores.subject_pronoun_type |
| Term Counts | scores.termco |
| Word Length Counts | scores.word_length |
| Word Position | scores.word_position |
| Word Stats | scores.word_stats |
| Clean Imported Text | scrubber |
| Search Columns of a Data Frame | %bs% boolean_search Search |
| Power Score (Sentiment Analysis) | sentiment_frame |
| Sentence Splitting | sentCombine sentSplit sent_detect sent_detect_nlp TOT |
| Replace Spaces | space_fill |
| Add Leading/Trailing Spaces | spaste |
| Break and Stretch if Multiple Persons per Cell | speakerSplit |
| Stem Text | stem2df stemmer stem_words |
| Strip Text | strip strip.character strip.default strip.factor strip.list |
| Wrap Character Strings to Format Paragraphs | strWrap |
| Count Subject Pronouns Per Grouping Variable | subject_pronoun_type |
| Summarize a cmspans object | summary.cmspans |
| Summarize a wfdf object | summary.wfdf |
| Summarize a wfm object | summary.wfm |
| Syllabication | combo_syllable_sum polysyllable_sum syllable_count syllable_sum |
| Search For Synonyms | syn synonyms synonyms_frame syn_frame |
| Search For and Count Terms | termco termco2mat termco_d term_match |
| Combine Columns from a termco Object | termco_c |
| Add Title to Select qdap Plots | Title Title<- |
| Visualize Word Length by Turn of Talk | tot_plot |
| Word Clouds by Grouping Variable | trans_cloud |
| Print Context Around Indices | trans_context |
| Venn Diagram by Grouping Variable | trans_venn |
| Remove Leading/Trailing White Space | Trim |
| Type-Token Ratio | type_token_ratio |
| Find Unique Words by Grouping Variable | unique_by |
| Apply Parameter to List of Igraph Vertices/Edges | edge_apply vertex_apply |
| Generic visual Method | visual |
| Discourse Map | visual.discourse_map |
| Weight a qdap Object | weight |
| Word Frequency Matrix | as.wfm as.wfm.Corpus as.wfm.data.frame as.wfm.default as.wfm.DocumentTermMatrix as.wfm.matrix as.wfm.TermDocumentMatrix as.wfm.wfdf weight.wfdf weight.wfm wfdf wfm wfm.character wfm.Corpus wfm.factor wfm.wfdf wfm_combine wfm_expanded |
| Find Associated Words | word_associate |
| Find Correlated Words | word_cor |
| Word Counts | character_count character_table char_table wc word_count |
| Differences In Word Use Between Groups | word_diff_list |
| Count of Word Lengths Type | word_length |
| Raw Word Lists/Frequency Counts | word_list |
| Word Network Plot | word_network_plot |
| Word Position | word_position |
| Proximity Matrix Between Words | weight.word_proximity word_proximity |
| Descriptive Word Statistics | word_stats |
