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. |