littler
nflfastR
| littler | nflfastR | |
|---|---|---|
| 1 | 7 | |
| 304 | 393 | |
| - | 0.8% | |
| 8.2 | 8.1 | |
| about 1 month ago | 11 days ago | |
| R | R | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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littler
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Dockerizing Shiny Applications
The following RUN command uses the littler command line interface shipped with the r-base image to install the Shiny package and its dependencies:
nflfastR
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Data for players on field play-by-play?
nflfastr has an extensive library of PlayByPlay, Roster, and Gamelog data that you can access programmatically via R.
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[OC] Cumulative Win Probability Added: AFC Bubble
For more on all this, here's the source of my data: {nflfastR}
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[OC] Cumulative Win Probability Added - AFC East, 2022
Source: {nflfastR} play-by-play and win probability models.
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Is there anywhere I can find the standard deviation of points and yards for each team in each game?
It's been superseded by nflfastR at least for the play by play stuff. You can also download the data directly, rather than using the scraping functions. https://github.com/nflverse/nfldata
- Best Data Source for NFL Play-by-Play
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Metric for how many different receivers quarterbacks utilize?
nflfastR is a database with play by play data going back to 1999, it has everything you'd need to create such a metric, but you gotta write the query yourself :)
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[OC] Superbowl Probability of Winning: Play-by-play
Data Source: nflfastr library: https://github.com/mrcaseb/nflfastR
What are some alternatives?
tableone - R package to create "Table 1", description of baseline characteristics with or without propensity score weighting
nfldata - NFL Data (by Lee Sharpe)
Rblpapi - R package interfacing the Bloomberg API from https://www.bloomberglabs.com/api/
nflverse-data - Automated nflverse data repository
shinyproxy-hello
shiny.i18n - Shiny applications internationalization made easy
hts - Hierarchical and Grouped Time Series
parsel - parallel execution of RSelenium
rtypeform - An R interface to the 'typeform' API.
nfl_data_py - Python code for working with NFL play by play data.
xlsx - An R package to interact with Excel files using the Apache POI java library
Peptides - An R package to calculate indices and theoretical physicochemical properties of peptides and protein sequences.