Work with European Football League Data • ussie

The goal of ussie is to help you work with European Football League data.

Installation

You can install the development version of ussie from GitHub with:

# install.packages("devtools")
devtools::install_github("abhijeetshegokar/ussie")

Example

This is a basic example which shows you how to solve a common problem:

library(ussie)
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union

italy <- uss_make_matches(engsoccerdata::italy, "Italy")

glimpse(italy)
#> Rows: 25,404
#> Columns: 8
#> $ country       <chr> "Italy", "Italy", "Italy", "Italy", "Italy", "Italy", "I…
#> $ tier          <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,…
#> $ season        <int> 1934, 1934, 1934, 1934, 1934, 1934, 1934, 1934, 1934, 19…
#> $ date          <date> 1934-09-30, 1934-09-30, 1934-09-30, 1934-09-30, 1934-09…
#> $ home          <chr> "Lazio Roma", "Torino FC", "Sampierdarenese", "SSC Napol…
#> $ visitor       <chr> "US Livorno", "Unione Triestina", "Bologna FC", "US Ales…
#> $ goals_home    <int> 6, 3, 2, 0, 4, 0, 3, 1, 1, 1, 2, 4, 2, 2, 3, 2, 2, 2, 0,…
#> $ goals_visitor <int> 1, 1, 1, 1, 1, 2, 0, 2, 1, 1, 1, 0, 2, 1, 1, 0, 1, 1, 1,…
## basic example code

What is special about using README.Rmd instead of just README.md? You can include R chunks like so:

summary(cars)
#>      speed           dist       
#>  Min.   : 4.0   Min.   :  2.00  
#>  1st Qu.:12.0   1st Qu.: 26.00  
#>  Median :15.0   Median : 36.00  
#>  Mean   :15.4   Mean   : 42.98  
#>  3rd Qu.:19.0   3rd Qu.: 56.00  
#>  Max.   :25.0   Max.   :120.00

You’ll still need to render README.Rmd regularly, to keep README.md up-to-date. devtools::build_readme() is handy for this. You could also use GitHub Actions to re-render README.Rmd every time you push. An example workflow can be found here: https://github.com/r-lib/actions/tree/v1/examples.

You can also embed plots, for example:

In that case, don’t forget to commit and push the resulting figure files, so they display on GitHub and CRAN.