
CFB Data Plays Examples
Saiem Gilani,
Akshay Easwaran, Jared Lee
Source: vignettes/cfbd_plays.Rmd
cfbd_plays.RmdLoad and Install Packages
if (!requireNamespace('pak', quietly = TRUE)){
install.packages('pak')
}
pak::pak(c("dplyr", "tidyr", "cfbfastR"))
library(dplyr)
library(tidyr)
library(cfbfastR)
#pak::pak("sportsdataverse/cfbfastR")
Pull first 3 weeks of 2020 season using
cfbd_plays()
year_vector <- 2020
week_vector <- 1:3
weekly_year_df <- expand.grid(year = year_vector, week = week_vector)
tictoc::tic()
year_split <- split(weekly_year_df, weekly_year_df$year)
for (i in 1:length(year_split)) {
progressr::with_progress({
year_split[[i]] <- year_split[[i]] |>
dplyr::mutate(
pbp = purrr::map2(
.x = year,
.y = week,
cfbd_plays,
season_type = "both"
)
)
Sys.sleep(1)
})
}
tictoc::toc()
year_split <- lapply(year_split, function(x) {
x |> tidyr::unnest(pbp, names_repair = "minimal")
})
all_years <- dplyr::bind_rows(year_split)
glimpse(all_years)Our Authors
Related SportsDataverse packages
- cfbfastR - college football
- hoopR - men’s basketball
- wehoop - women’s basketball
- baseballr - baseball
- fastRhockey - hockey
- oddsapiR - betting odds
- sportyR - playing surfaces
- sportsdataverse-py - the Python package
- sportsdataverse-R - the R meta-package