Man pages for trinker/qdap
Bridging the Gap Between Qualitative Data and Quantitative Analysis
| 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 |
| file_handling | Easy File Handling |
| 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 |
| 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 |
| 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 |
