huxtable
worldfootballR
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huxtable | worldfootballR | |
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2 | 7 | |
311 | 408 | |
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7.8 | 9.0 | |
2 months ago | 3 months ago | |
R | R | |
GNU General Public License v3.0 or later | - |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
huxtable
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What type of table is this, and is there a way to do this in R?
As for styling, I highly recommend the huxtable package. You can style rows, columns, and individual cells however you want. It uses dplyr pipelining, if you’re familiar with that, so it’s super intuitive to use too.
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Web4 Should Run on LaTeX
I wrote a little R package to write tables. I knew what HTML tables and Word tables could do. I wrote the interface to use all those features. LaTeX nerds were super proud of their tables. Should be easy to reimplement the features in TeX, right?
https://github.com/hughjonesd/huxtable/blob/master/R/latex.R
TeX is an abomination from hell.
worldfootballR
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[OC] Attacking Productivity: Who is Over-performing this Season and Who has been Lucky?
I found this the other day though, where there is an R package with what looks like a good amount of data. So, when I'm ready I might explore this as this might be the best approach to pull in a lot more players more easily.
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Daily Discussion
https://jaseziv.github.io/worldfootballR/ works really well with publicly available data and does most of the data scraping for you, but if you wanted to access paid stuff then you’ll need something else.
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[OC] A Data Dive into Spurs (lack of) Sub Usage (2nd Least Sub Minutes in League Play)
Data is from FotMob and grabbed via worldfootballR. Highly recommend to anyone looking to play around with soccer data, it's super well documented (as is everything in SportsDataverse). It doesn't have player location and all the advanced stuff but has a lot of rich shot data + match stats/events. worldfootballR has a bunch of fb-ref, understat, and transfermarket data as well.
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data sets about Scottish football
There’s an R package called worldfootballR that can be used to extract data from FBref, Transfermarkt, Understat and FotMob. Most of those sites don’t carry much data about Scottish football but FotMob have some really useful shot location data with xG and xGOT values. Here’s the link to the package: https://github.com/JaseZiv/worldfootballR
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[Q] Looking for downloadable football (soccer) statistics
The worldfootballr R package can help you download from some of the big ones.
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[OC] Liverpool and Real Madrid's paths through the knock out stages to the Champions League final
Source:WorldfootballR package
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[OC] Liverpool Substitutions Using worldfootballR and GT
Data extracted using worldfootballR
What are some alternatives?
groundhog - Reproducible R Scripts Via Date Controlled Installing & Loading of CRAN & Git Packages
dplyr - dplyr: A grammar of data manipulation
papaja - papaja (Preparing APA Journal Articles) is an R package that provides document formats to produce complete APA manuscripts from RMarkdown-files (PDF and Word documents) and helper functions that facilitate reporting statistics, tables, and plots.
blogdown - Create Blogs and Websites with R Markdown
lmForc - R package for evaluating linear forecasting models.
ggplot2 - An implementation of the Grammar of Graphics in R
docxtractr - :scissors: Extract Tables from Microsoft Word Documents with R
wesanderson - A Wes Anderson color palette for R
targets - Function-oriented Make-like declarative workflows for R
epanet2toolkit - An R package for calling the Epanet software for simulation of piping networks.
shiny.i18n - Shiny applications internationalization made easy
soccerdata - ⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored.