Showing 25 of total 25 results (show query)
sportsdataverse
hoopR:Access Men's Basketball Play by Play Data
A utility to quickly obtain clean and tidy men's basketball play by play data. Provides functions to access live play by play and box score data from ESPN<https://www.espn.com> with shot locations when available. It is also a full NBA Stats API<https://www.nba.com/stats/> wrapper. It is also a scraping and aggregating interface for Ken Pomeroy's men's college basketball statistics website<https://kenpom.com>. It provides users with an active subscription the capability to scrape the website tables and analyze the data for themselves.
Maintained by Saiem Gilani. Last updated 1 years ago.
basketballcollege-basketballespnkenpomnbanba-analyticsnba-apinba-datanba-statisticsnba-statsnba-stats-apincaancaa-basketballncaa-bracketncaa-playersncaa-ratingsncaamsportsdataverse
361.6 match 91 stars 6.93 score 261 scripts
openintrostat
openintro:Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs
Supplemental functions and data for 'OpenIntro' resources, which includes open-source textbooks and resources for introductory statistics (<https://www.openintro.org/>). The package contains datasets used in our open-source textbooks along with custom plotting functions for reproducing book figures. Note that many functions and examples include color transparency; some plotting elements may not show up properly (or at all) when run in some versions of Windows operating system.
Maintained by Mine Çetinkaya-Rundel. Last updated 3 months ago.
14.9 match 240 stars 11.39 score 6.0k scripts
rudeboybert
fivethirtyeight:Data and Code Behind the Stories and Interactives at 'FiveThirtyEight'
Datasets and code published by the data journalism website 'FiveThirtyEight' available at <https://github.com/fivethirtyeight/data>. Note that while we received guidance from editors at 'FiveThirtyEight', this package is not officially published by 'FiveThirtyEight'.
Maintained by Albert Y. Kim. Last updated 2 years ago.
data-sciencedatajournalismfivethirtyeightstatistics
14.4 match 453 stars 10.98 score 1.7k scripts
rtelmore
ISAR:Introduction to Sports Analytics using R (ISAR) Data
We provide data sets used in the forthcoming textbook "Introduction to Sports Analytics using R" by Elmore and Urbaczweski (2024). The package currently contains sixteen datasets and should be published in early 2024.
Maintained by Ryan Elmore. Last updated 8 months ago.
23.9 match 7 stars 4.02 score 3 scripts
sndmrc
BasketballAnalyzeR:Analysis and Visualization of Basketball Data
Contains data and code to accompany the book P. Zuccolotto and M. Manisera (2020) Basketball Data Science. Applications with R. CRC Press. ISBN 9781138600799.
Maintained by Marco Sandri. Last updated 2 years ago.
basketball-statsdata-analysisdata-science
19.1 match 35 stars 4.83 score 39 scripts
ginsburg1
ProSportsDraftData:Professional Sports Draft Data
We provide comprehensive draft data for major professional sports leagues, including the National Football League (NFL), National Basketball Association (NBA), and National Hockey League (NHL). It offers access to both historical and current draft data, allowing for detailed analysis and research on player biases and player performance. The package is useful for sports fans and researchers interested in identifying biases and trends within scouting reports. Created by web scraping data from leading websites that cover professional sports player scouting reports, the package allows users to filter and summarize data for analytical purposes. For further details on the methods used, please refer to Wickham (2022) "rvest: Easily Harvest (Scrape) Web Pages" <https://CRAN.R-project.org/package=rvest> and Harrison (2023) "RSelenium: R Bindings for Selenium WebDriver" <https://CRAN.R-project.org/package=RSelenium>.
Maintained by Benjamin Ginsburg. Last updated 6 months ago.
15.8 match 2 stars 4.85 score 5 scripts
yonicd
slickR:Create Interactive Carousels with the 'JavaScript' 'Slick' Library
Create and customize interactive carousels using the 'Slick' 'JavaScript' library and the 'htmlwidgets' package. The carousels can contain plots produced in R, images, 'iframes', videos and other 'htmlwidgets'. These carousels can be created directly from the R console, and viewed in the 'RStudio' internal viewer, in 'Shiny' apps and R Markdown documents.
Maintained by Jonathan Sidi. Last updated 1 years ago.
8.0 match 160 stars 9.37 score 199 scripts 1 dependents
statmanrobin
Lock5Data:Datasets for "Statistics: UnLocking the Power of Data"
Datasets for the third edition of "Statistics: Unlocking the Power of Data" by Lock^5 Includes version of datasets from earlier editions.
Maintained by Robin Lock. Last updated 4 years ago.
21.0 match 2.90 score 322 scripts
lazappi
clustree:Visualise Clusterings at Different Resolutions
Deciding what resolution to use can be a difficult question when approaching a clustering analysis. One way to approach this problem is to look at how samples move as the number of clusters increases. This package allows you to produce clustering trees, a visualisation for interrogating clusterings as resolution increases.
Maintained by Luke Zappia. Last updated 1 years ago.
clusteringclustering-treesvisualisationvisualization
3.8 match 219 stars 11.40 score 1.9k scripts 5 dependents
yihui
animation:A Gallery of Animations in Statistics and Utilities to Create Animations
Provides functions for animations in statistics, covering topics in probability theory, mathematical statistics, multivariate statistics, non-parametric statistics, sampling survey, linear models, time series, computational statistics, data mining and machine learning. These functions may be helpful in teaching statistics and data analysis. Also provided in this package are a series of functions to save animations to various formats, e.g. Flash, 'GIF', HTML pages, 'PDF' and videos. 'PDF' animations can be inserted into 'Sweave' / 'knitr' easily.
Maintained by Yihui Xie. Last updated 2 years ago.
animationstatistical-computingstatistical-graphicsstatistics
3.3 match 208 stars 12.08 score 2.5k scripts 29 dependents
murrayjw
nbapalettes:An NBA Jersey Palette Generator
Palettes generated from NBA jersey colorways.
Maintained by Murray Josh. Last updated 4 years ago.
9.2 match 5 stars 3.40 score 1 scripts
jtfeld
EloOptimized:Optimized Elo Rating Method for Obtaining Dominance Ranks
Provides an implementation of the maximum likelihood methods for deriving Elo scores as published in Foerster, Franz et al. (2016) <DOI:10.1038/srep35404>.
Maintained by Joseph Feldblum. Last updated 10 months ago.
eloelo-ratingmaximum-likelihood-estimation
7.5 match 3 stars 4.18 score 9 scripts
lightbluetitan
usdatasets:A Comprehensive Collection of U.S. Datasets
Provides a diverse collection of U.S. datasets encompassing various fields such as crime, economics, education, finance, energy, healthcare, and more. It serves as a valuable resource for researchers and analysts seeking to perform in-depth analyses and derive insights from U.S.-specific data.
Maintained by Renzo Caceres Rossi. Last updated 5 months ago.
4.8 match 7 stars 5.99 score 141 scripts
cdcrabtree
colorr:Color Palettes for EPL, MLB, NBA, NHL, and NFL Teams
Color palettes for EPL, MLB, NBA, NHL, and NFL teams.
Maintained by Charles Crabtree. Last updated 7 years ago.
color-palettecolorssportsvisualization
7.9 match 1 stars 2.70 score 9 scripts
z267xu
ggmulti:High Dimensional Data Visualization
It provides materials (i.e. 'serial axes' objects, Andrew's plot, various glyphs for scatter plot) to visualize high dimensional data.
Maintained by Zehao Xu. Last updated 2 years ago.
3.4 match 6.11 score 36 scripts 4 dependentsrudeboybert
resampledata:Data Sets for Mathematical Statistics with Resampling in R
Package of data sets from "Mathematical Statistics with Resampling in R" (1st Ed. 2011, 2nd Ed. 2018) by Laura Chihara and Tim Hesterberg.
Maintained by Albert Y. Kim. Last updated 4 months ago.
3.8 match 15 stars 5.15 score 187 scripts
jverzani
UsingR:Data Sets, Etc. for the Text "Using R for Introductory Statistics", Second Edition
A collection of data sets to accompany the textbook "Using R for Introductory Statistics," second edition.
Maintained by John Verzani. Last updated 3 years ago.
3.6 match 1 stars 4.97 score 1.4k scripts
cran
datasetsICR:Datasets from the Book "An Introduction to Clustering with R"
Companion to the book "An Introduction to Clustering with R" by P. Giordani, M.B. Ferraro and F. Martella (Springer, Singapore, 2020). The datasets are used in some case studies throughout the text.
Maintained by Paolo Giordani. Last updated 5 years ago.
16.0 match 1.00 scorecran
visualpred:Visualization 2D of Binary Classification Models
Visual contour and 2D point and contour plots for binary classification modeling under algorithms such as 'glm', 'rf', 'gbm', 'nnet' and 'svm', presented over two dimensions generated by 'famd' and 'mca' methods. Package 'FactoMineR' for multivariate reduction functions and package 'MBA' for interpolation functions are used. The package can be used to visualize the discriminant power of input variables and algorithmic modeling, explore outliers, compare algorithm behaviour, etc. It has been created initially for teaching purposes, but it has also many practical uses under the 'XAI' paradigm.
Maintained by Javier Portela. Last updated 4 months ago.
4.5 match 2.60 scorecran
fclust:Fuzzy Clustering
Algorithms for fuzzy clustering, cluster validity indices and plots for cluster validity and visualizing fuzzy clustering results.
Maintained by Paolo Giordani. Last updated 2 years ago.
4.0 match 1 stars 2.38 score 2 dependents
drg-123
IIS:Datasets to Accompany Wolfe and Schneider - Intuitive Introductory Statistics
These datasets and functions accompany Wolfe and Schneider (2017) - Intuitive Introductory Statistics (ISBN: 978-3-319-56070-0) <doi:10.1007/978-3-319-56072-4>. They are used in the examples throughout the text and in the end-of-chapter exercises. The datasets are meant to cover a broad range of topics in order to appeal to the diverse set of interests and backgrounds typically present in an introductory Statistics class.
Maintained by Grant Schneider. Last updated 1 months ago.
4.0 match 1.74 score 55 scripts
timhesterberg
resampledata3:Data Sets for "Mathematical Statistics with Resampling and R" (3rd Ed)
Data sets for Chihara and Hesterberg (2022, ISBN: 978-1-119-87404-1) "Mathematical Statistics with Resampling in R" (3rd Ed).
Maintained by Tim Hesterberg. Last updated 3 years ago.
3.8 match 1.52 score 33 scripts
akarl46556
mvglmmRank:Multivariate Generalized Linear Mixed Models for Ranking Sports Teams
Maximum likelihood estimates are obtained via an EM algorithm with either a first-order or a fully exponential Laplace approximation as documented by Broatch and Karl (2018) <doi:10.48550/arXiv.1710.05284>, Karl, Yang, and Lohr (2014) <doi:10.1016/j.csda.2013.11.019>, and by Karl (2012) <doi:10.1515/1559-0410.1471>. Karl and Zimmerman <doi:10.1016/j.jspi.2020.06.004> use this package to illustrate how the home field effect estimator from a mixed model can be biased under nonrandom scheduling.
Maintained by Andrew T. Karl. Last updated 2 years ago.
4.0 match 2 stars 1.34 score 11 scripts
syeonkang
MixSemiRob:Mixture Models: Parametric, Semiparametric, and Robust
Various functions are provided to estimate parametric mixture models (with Gaussian, t, Laplace, log-concave distributions, etc.) and non-parametric mixture models. The package performs hypothesis tests and addresses label switching issues in mixture models. The package also allows for parameter estimation in mixture of regressions, proportion-varying mixture of regressions, and robust mixture of regressions.
Maintained by Suyeon Kang. Last updated 1 years ago.
4.5 match 1.00 scorecran
ExtMallows:An Extended Mallows Model and Its Hierarchical Version for Ranked Data Aggregation
For multiple full/partial ranking lists, R package 'ExtMallows' can (1) detect whether the input ranking lists are over-correlated, and (2) use the Mallows model or extended Mallows model to integrate the ranking lists, and (3) use hierarchical extended Mallows model for rank integration if there are groups of over-correlated ranking lists.
Maintained by Han Li. Last updated 7 years ago.
3.6 match 1.00 score