add_tweet_kind_cols | Augment 'rtweet' data.frame |
append_dummy_cols | Post-process data in 'wrapper_func()' |
clean_tweets | Clean (and augment) 'rtweet' data.frame |
compute_change | Compute change |
compute_corrs | Compute correlations |
compute_freqs | Compute token frequency |
compute_freqs_facet_by2 | Compute token frequencies in pairs |
compute_logratios_facet_by2 | Compute token log ratios in pairs |
compute_logratios_facet_wide | Compute log ratios |
compute_sentratios_facet_by2 | Compute token sentiment log ratios in pairs |
compute_sent_summ | Compute sentiment scores. |
compute_tfidf | Compute TF-IDF |
compute_time_elapsed | Compute time difference |
compute_timefilter | Add time-related columns |
create_xy_grid | Create a of name pairs |
default_facet | Default facet parameters |
default_filter_facet | Default word cloud parameters |
default_labs | Default label parameters |
default_scale_manual | Default word cloud parameters |
default_theme | Default theme parameters |
default_wordcloud | Default word cloud parameters |
get_sents | Get sentiment dictionary |
get_tweet_rgx_tidiers | Get helper list for tidying |
get_xy_info | Get information from a particular row in the 'xy grid' |
postprocess_xy_data | Post-process data in 'wrapper_func()' |
preprocess_xy_data | Pre-process data in 'wrapper_func()' |
reorder_within | Reorder an x or y axis within facets |
tetext | tetext |
tidify_to_bigrams | Prepare data for text analysis. |
tidify_to_unigrams | Prepare data for text analysis. |
trim_bytime | Trim data.frame by time |
visualize_bigram_freqs | Visualize bigrams |
visualize_change | Visualize change |
visualize_cnts | Visualize counts |
visualize_cnts_wordcloud | Visualize counts |
visualize_corrs_network | Visualize correlations |
visualize_freqs_facet_by2 | Visualize token frequencies in pairs |
visualize_logratios_facet_by2 | Visualize token log ratios in pairs |
visualize_sentratios_facet_by2 | Visualize token sentiment log ratios in pairs |
visualize_tfidf | Visualize TF-IDF |
visualize_time | Visualize by time period. |
visualize_time_hh | Visualize hourly data |
wrapper_func | 'Engine' for '_by2' functions |
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