High-Performance Open-Source Archive
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
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