tame.Rmd vignettestidyr::pivot_longer() instead of tidyr::gather()media_mentions_cable, media_mentions_onlinestate_index, state_wordscabinet_turnovercastle_solutions, castle_solutions_2, castle_solutions_3dem_candidatesquasi_winsharesraptor_by_player,raptor_by_teamwwc_2019_forecasts, wwc_2019_matchesfoul_ballsnba_draymondfight_songsnba_elo, nba_elo_latestnba_all_eloimpeachment_pollsfivethirtyeightdata package using drat package to store large files. This is due to CRAN package size restrictions:
fivethirtyeight user is now prompted to install fivethirtyeightdatafivethirtyeightdata to keep package size downfivethirtyeightdata[1] "castle_solutions" "castle_solutions_2"
[3] "castle_solutions_3" "comic_characters"
[5] "goose" "house_district_forecast"
[7] "mayweather_mcgregor_tweets" "mlb_elo"
[9] "nba_all_elo" "nba_carmelo"
[11] "nba_elo" "nfl_elo"
[13] "quasi_winshares" "raptor_by_player"
[15] "raptor_by_team" "ratings"
[17] "senators" "spi_matches"
[19] "twitter_presidents"DESCRIPTION Depends, Imports, or Suggests fieldsstate_info data frame of state name, abbreviation, US census division/regionstate_abbrev variable to hate_crimes dataset so that users can plot state abbreviations via geom_text(aes(label = state_abbrev)) instead of using less informative geom_point()comic_characters, goose, house_district_forecast, mlb_elo, nba_carmelo, nfl_elo, ratings, senators, and spi_matches. Code to load the entire dataset are provided in the respective help file examples.august_senate_polls, cabinet_turnover, elasticity_by_district, elasticity_by_state, endorsements_2020, forecast_results_2018, governor_national_forecast, governor_state_forecast, house_district_forecast, house_national_forecast, masculinity_survey, mueller_approval_polls, ncaa_w_bball_tourney, partisan_lean_district, partisan_lean_state, russia_investigation, senate_national_forecast, senate_seat_forecast, trump_lawsuits,ahca_polls, bachelorette, candy_rankings, chess_transfers, generic_polllist, generic_topline, mayweather_mcgregor_tweets, mlb_elo, ratings, spi_global_rankings, spi_matches.google_trends, nba_carmelo, nfl_elo, nfl_fandom_google, nfl_fandom_surveymonkey, mediacloud_hurricanes, mediacloud_states, mediacloud_online_news, mediacloud_trump, riddler_pick_lowest, sandy_311, senators, tv_hurricanes, tv_hurricanes_by_network, tv_states, trump_approval_poll, trump_approval_trend, trumpworld_issues,trumpworld_polls, twitter_presidents, undefeatedmayweather_mcgregor_tweets, mlb_elo, nba_carmelo, nfl_elo, senators, only include the first 10 rows of the data because of R package file size restrictions (< 5MB tarballs); code to download/process the entire dataset are included in help files. We hope to include full versions of these datasets in v0.5.0 of package using the drat package.factor(..., ordered = TRUE). Ex: bechdel$clean_testCITATIONriddler_castles2, antiquities_act, goose, tenth_circuitbob_ross.Rmd, tarantino_swears.Rmdbechdel vignettes included in package b/c of CRAN package size restrictions. Other crowd-sourced analysis vignettes still available
bechdel$clean_test and bechdel$test to match hierarchical nature of testcollege_grad_students, college_recent_grads, cousin_marriage, hate_crimes, pres_2016_trail, riddler_castlescomics_gender, NBA, trump_twitter?fivethirtyeight with complete instructions@examples code in help files to convert to tidy data format so that data plays nice with tidyverse tools.fivethirtyeight main vignette reads data set list from Google Sheets master document https://goo.gl/OT8iHalove-actually being the latest