List of books by authors

• Statistical Thinking: A Simulation Approach to Modeling Uncertainty (UM STAT 216 edition)
• DEMOVATE
• bookdown-demo.utf8
• Survey Guide: The Challenge from Terrorism in the Nordic Countries
• A Statistical Analysis of Inherited Blindness: Physiological and Genetic Assays
• 1 Introdução
• statsthinking21

(著者) Xie, Yihui, (著者) Dervieux, Christophe, (著者) Riederer, Emily, (翻訳者) Katagiri, Satoshi

• R Markdown クックブック

192EEG04 Jung Eun Ju

• R Homework 1

805

• 环境黑板报

@kazutan

• ggplot2逆引き集

A Solomon Kurz

• Applied longitudinal data analysis in brms and the tidyverse
• Statistical rethinking with brms, ggplot2, and the tidyverse: Second edition
• Statistical rethinking with brms, ggplot2, and the tidyverse
• Doing Bayesian Data Analysis in brms and the tidyverse
• Recoding Introduction to Mediation, Moderation, and Conditional Process Analysis
• Statistical Rethinking with brms, ggplot2, and the tidyverse

A.M.Mayoral

• Lean Seis Sigma

Aaron Coyner and Ted Laderas

• Ready for R: Notebook Reference

Ace Mark Acebedo

• Knowing the KPI Trend Without Seeing the Chart

Acx Dep. EC

• Manual for Databank

Adam Aiken

• FIN 473. Advanced Investments

Adam C. Smith, and Brandon P.M. Edwards

• A Quick Introduction to bbsBayes

Adrian Dușa

• QCA with \textsf{R}

Aep Hidayatuloh

• Pengantar Pemrograman R dan RStudio
• Draft: Aplikasi Analisis Data untuk Bisnis

Aidan Toner-Rodgers

• The Shape of Polarization: A Topological Data Analysis of Congressional Voting Patterns

Alberto Brunete, Pablo San Segundo y Rebeca Herrero

• Introducción a la Automatización Industrial

Alejandro Quintela del Rio

• Estadística Básica Edulcorada

Aleksander Dietrichson, PhD

• Métodos Cuantitativos

Alex Hallam

• Simulation And The James-Stein Estimator In R

Alex O. Holcombe

• PSYC2016: Attention

Alfonso Meléndez

• Modelación basada en Agentes
• Talleres NetLogo Modelación basada en Agentes

Alfonso R. Reyes

• A Minimal rTorch Book

Alfredo E. Gonzalez

• Alfredo’s Laboratory Notebook

Alfredo Enrique Gonzalez

• Alfredo’s Laboratory Notebook

All materials of this book are based on ECON 252: Financial Markets (2011) taught by Professor Robert Shiller, available on Open Yale Courses. For non-commercial research or study only.

• Financial Markets

Alma A. Bezares Calderón

• Political Economy of Development

Altuna Akalin

• Computational Genomics with R

Amarin Siripanich

• The dymiumCore package

Amelia McNamara

• Statistical Learning Inmas workshop

Amy L Johnson

• R Training for SSDS

An Honors Thesis submitted in partial fulfillment of the requirements for graduating with Departmental Honors in Mathematics

• Predictive Models of English Premier League Goal Scoring

Ana Batriz dos Santos Barros, Ana Beatriz Mendes Lopes, Janaina Souza de Souza e Simão Pedro de Oliveira Urpia

• Análise estatística de como a cor/raça branca e preta influencia na qualidade de vida do morador de Salvador

Ana Carolina Costa dos Santos, Daniele dos Santos Lima, Talita Nunes Costa

• Diversidade em sala de aula: por uma educação antirracista

Anastasia Ushakova and Emma Waterston

• PPLS PhD Training Workshop: Statistics and R

Anastasia Ushakova and Milan Valasek

• PhD Training Workshop: Statistics in R

Andres Suárez Mediavilla

• LCC 2020 Book

Andrew Apostoli

• EESA01 Laboratory Manual Introduction to Environmental Science

Andrew Apostoli and Adam Martin

• EESA01 Laboratory Manual: Introduction to Environmental Science

Andrew Clark

• Premier League Annual
• useR2016 Conference Videos

Andrew Clark and Joshua Kunst

• Chess Encounters

Andrew Kniss & Jens Streibig

• Statistical Analysis of Agricultural Experiments using R

Andrew Tamalunas

• Analyzing and visualizing fiber photometry data with fluoR

André Calero Valdez

• Computational Communication Science mit R

Andy MacLachlan and Adam Dennett

• CASA0005 Geographic Information Systems and Science

Anouar El Ghouch

• Exploration de données avec R

Anshul Kumar

• MGHIHP HE-802, Spring 2021
• Responsible applied statistics in R for behavioral and health data (working title)
• Research methods introduction for genetic counseling students

Anthony Schmidt

• Causal Inference in Education

Aoyue Bi

• Aoyue Bi’s Study Notes

Aplicación por: Jeysson Chuquin, Wagner Salazar

• MANUAL PARA LA APLICACIÓN DE INDICADORES DE PRODUCCIÓN CIENTÍFICA EN EL ECUADOR ASOCIADO A SCOPUS

Are Edvardsen, SKDE

• Lokal lagring og bruk av sensitive data

Armando Teixeira-Pinto

• Machine Learning for Biostatistics

Armando Teixeira-Pinto & Jaroslaw Harezlak

• Machine Learning for Biostatistics

Arredondo Sánchez Andrea Elizabeth, Vargas Mendoza Ana Luisa

• Bookdown

Arthur Small

• Time Series and Forecasting: A Project-based Approach with R

Arturo Carceller Icardo

• Optimizing Passenger Security Checkpoint at Barcelona - El Prat Airport using Lean Six Sigma

Arturo Chian

• The Art of Finance: Theory, Practice & Fiction

Associação Brasileira de Jurimetria

• ABJ Syllabus

Austria

• Growth in times of Coronavirus

Austrian Economic Committee

• Austrian Long Term Growth Report

authored by the Industrial and Organizational Program faculty

• MSU PhD Roles and Policy Manual

Authors: The RIPLRT

• Lab Manual for the Respiratory and Immunology Project and Laboratory Research Team (RIPLRT)

Autor: Arturo A. Aguilar Esteva, Colaborador: Vicente López Ramírez

• Notas de Microeconometría Aplicada

Autor: Mg. Daniel Paredes Inilupu

• Data Science con R

Axel-Cleris Gailloty

• Overview of suicide in the world

B. Depaire

• Lecture Notes for Project Management
• Lecture Notes voor Beleidsinformatica
• Lecture Notes voor Business Process Management (3637)
• Lecture Notes voor Exploratieve en Descriptieve Data Analyse

Bakti Siregar S.Si, M.Sc

• Data Science for Beginners Part 1

Bakti Siregar, S.Si., M.Sc

• Matematika Bisnis

Beckett Stephens

• The Final War

Ben Gonzalez

• PostgreSQL Explained for R-Users and R-Programmers

Berry Boessenkool, berry-b@gmx.de

• rdwd
• R course

BEST: Behavioral Economics & Data Science Team

• ¡Manos a la Data!
• Data Science con R: Fundamentos y Aplicaciones
• Economía Conductual: Fundamentos y Aplicaciones

Bingwei Liu

• AWS Tutorial

birderboone

• Matts Baking Cook Book

Bob Rudis

• Writing Frictionless R Package Wrappers

Bodong Chen

• Planning SNA Research and Projects
• CI 5371: Learning Analytics

Boyan Kostadinov, City Tech

• MAT 4880 Mathematical Modeling II

Boyoung Kim(202AIE06)

• 교육용 프로그래밍의 이해

Brad Collette 著，曲政 译

• 请 Inventor 用 FreeCAD

Bradley Boehmke & Brandon Greenwell

• Hands-On Machine Learning with R

Brendan R. E. Ansell @ansellbr3

• Introduction to R - tidyverse

Bret Larget

• Statistics 240 Course Notes

Brian Holt

• Abnormal Psychology, Fall 2020

Brian Krauth

• Introductory Statistics for Economics

Brian Nguyen

• Multivariate Statistical Analysis with R: PCA & Friends making a Hotdog

Brian O’Meara

• Comparative Methods

Brooke Anderson

• Data Visualization in R

Bruna Wundervald

• Mixed BART Models: maths and discussion

Bruno Rodrigues

• Modern R with the tidyverse
• Functional programming and unit testing for data munging with R

Bryan Shalloway

• Yet another ‘R for Data Science’ study guide

Brynjólfur Gauti Jónsson

• Mál- og tegurfræði
• Statistical Rethinking
• Numerical Analysis: Notes

Brynjólfur gauti Jónsson

• Móðir og Barn

Burak AYDIN, James ALGINA, Walter LEITE, Hakan ATILGAN

• An R Platform for Social Scientists
• Sosyal Bilimler R Platformu

By: Alfredo Enrique Gonzalez

• Boutros Laboratory Notebook

CAHP Team

• SakaiDocs

Caleb J. Grohmann

• Applied Genetics, Genomics, and Data Science for the Swine Industry: A Ph.D. Student’s Perspective

Callum Arnold

• A Guide to Reproducible Research

Carson Sievert

• Interactive web-based data visualization with R, plotly, and shiny

Chaeeun Song

• Review and Homework for Programming for Educational Research

Cheng Hua, Dr. Youn-Jeng Choi, Qingzhou Shi

• Companion to BER 642: Advanced Regression Methods

Cheng-Chung Li

• R語言套件之道

Chester Ismay

• Getting used to R, RStudio, and R Markdown

Chester Ismay and Albert Y. Kim

• Statistical Inference via Data Science

Chester Ismay and Albert Y. Kim STARRING FRANK MCGRADE

• ModernDive

Chiayi Yen

• Data Visualization Project

Chiraag Gohel

• Week of November 9th

Chris Brown, Murray Cadzow, Paula A Martinez, Rhydwyn McGuire, David Neuzerling, David Wilkinson, Saras Windecker

• Github actions with R

Chris Qi from Data Maniac

• R 语言入门，给一心只有学习的你

Chris Sutherland

• Study design for spatial capture-recapture

Chris Sutherland, Dan Linden & Gates Dupont

• oSCR vignettes

Christian Nilsen, Geosyntec Consultants, Inc., Emily Howe, The Nature Conservancy, Jamie Robertson, The Nature Conservancy

• Stormwater Heatmap Technical Reference

Christoph Hanck, Martin Arnold, Alexander Gerber, and Martin Schmelzer

• Introduction to Econometrics with R

Christoph Molnar

• Interpretable Machine Learning

Christopher Barrie

• MMES Quantitative Research Methods Oxford 2021

Chunji Wang

• Selected Solutions to R4DS Exercises

Chávez Mañón Tania Nayeli, Mendoza Suárez Brenda Grisel, Vargas Mendoza Ana Luisa

• Proyecto Final: Suicidios en México y EU

cjlortie

• Designcraft for experiments

Claus O. Wilke

• Fundamentals of Data Visualization

Clayton Engelby

• ECO 397 Book Review

Clement Lefevre

• Uber Movement dataset : playing with spatial data

Colin Fay, Sébastien Rochette, Vincent Guyader, Cervan Girard

• Engineering Production-Grade Shiny Apps

Colin Gillespie, Robin Lovelace

• Efficient R programming

Colin Quirk

• Let’s Explore Statistics

Colin Robertson

• GESC-258 Schedule

Commercial Fishermen of Santa Barbara

• Economic Impact Report

Conor I. Anderson and Karen L. Smith

• Climate Change Impact Assessment: A practical walk-through

Constantin Colonescu

• Principles of Econometrics with R

Corey Pembleton

• R for Surveys in Evaluation

Cristóbal Moya

• Inferential Statistics and Complex Surveys

Cédric Vuignier and Gaëtan Lovey

• Project in Data Analytics for Decision Making

Daisaku Ikeda

• Đức Phật Trong Ba lô

Daniel Instebø og Sveinung Arnesen

• DEMOVATE Survey 2020

Daniel J Carter

• R for Statistics in EPH
• R for MSc DH/RSHR/Epi

Daniel Katz, Anthony Clairmont, Mike Wilton

• Measuring what Matters: Introduction to Rasch Analysis in R

Daniel Sirlupu

• ¿Que mas debemos conocer, muy aparte de tecnicas y analisis estadistico? Analytics, BI, automatizacion, etc.

Danielle J Navarro & Dvid R Foxcroft（著）　芝田征司（訳）

• jamoviで学ぶ心理統計

Danna Cruz

• Aprendizaje automático de datos Colombianos (Machine Learning)

Darrin Speegle

• Foundations of Statistics with R

Davi Moreira

• Texto como Dado para Ciências Sociais
• Text as Data para Ciências Sociais

David C. Carslaw

• The openair book

David Dalpiaz

• R for Statistical Learning

David Gohel

• officeverse

David Granjon

• Outstanding User Interfaces with Shiny

David Hume

• Dialogues Concerning Natural Religion

David John Baker

• MODELING MELODIC DICTATION

David Josephs

• Time Series Midterm Review

David Keyes // R for the Rest of Us

• How I Use R

David Klotz

• The Temple of Esna II: an Evolving Translation
• The Temple of Esna: a Continual Translation

David Studholme

• University of Exeter: BIO2092

David Yeung

• Engaging Multiple Personalities

David Zhang, Regina Reynolds

• Ryten lab induction book

Deanna Li

• Basic R Guide for NSC Statistics

Dena J. Clink

• behaviouR: R package and tutorials for teaching of fundamental concepts in behavior and ecology
• BioNBB 2210 Summer 2020 Computer Labs

Department of Psychology, University of Edinburgh

• Data Analysis for Psychology in R (dapR1) - Labs

Derek Corcoran

• Manipulación de datos e investigación reproducible en R

Derek L. Sonderegger

• STA 141 - Exploratory Data Analysis and Visualization
• STA 444/5 - Introductory Data Science using R
• Statistical Methods II

Derek L. Sonderegger & Robert Buscaglia

• Introduction to Statistical Methodology, Second Edition

Didzis Elferts

• Praktiskā biometrija

DJ Navarro

• Learning statistics with R: A tutorial for psychology students and other beginners. (Version 0.6.1)

Dmitry Gorodnichy

• «Shri Jobim»
• «Волопас и Северная Корона»

Donnie Day

• Advanced Environmental Data Management

Dr. Héctor Murillo

• Medicina de Estilo de Vida

Dr. Taleed El-Sabawi

• Property Class Spring 2020

Dr.Thunder, Ming, Youcai

• 液体活检口袋书

Dr. Andrew P. Lapointe

• Reproducible Science for Busy Researchers: How to Save Time using Literate Programming

Dr. Daniel Flores Agreda (based on the Lecture by Prof. Davide La Vecchia)

• 🃏 Probability I

Duncan Garmonsway

• Spreadsheet Munging Strategies

Dwight Barry

• Do not use averages with Likert scale data

Dylan Z. Childs

• APS 135: Introduction to Exploratory Data Analysis with R

E.Major Taiwan

• UI-UX

Eagle I-O

• MSU I-O Student Mentorship Program User Manual

Eagle I.O

• Eagle I.O Consultant Manual
• MSU I.O Student Mentorship Program User Manual
• Engagement Survey Technical Report
• Eagle I.O Consultant Guidelines

Earo Wang

• Tidy tools for supporting fluent workflow in temporal data analysis

Editor: Sam Tyner, Ph.D.

• Open Forensic Science in R

Eduardo García Portugués

• Notes for Nonparametric Statistics
• Lab notes for Statistics for Social Sciences II: Multivariate Techniques
• Notes for Predictive Modeling
• A Short Course on Nonparametric Curve Estimation

Edward J. Xu

• MatrixOptim
• TidySimStat

Edwin Thoen

• Agile Machine Learning with R
• Agile Data Science with R

Ekarin E. Pongpipat, Giuseppe G. Miranda, & Matthew J. Kmiecik

• A Practical Extension of Introductory Statistics in Psychology using R

Elaine Christine de Magalhães Cabral Albuquerque, Rejane de Almeida Santana dos Santos, Simão Pedro de Oliveira Urpia

• Produção do Conhecimento Científico

Elias T. Krainski, Virgilio Gómez-Rubio, Haakon Bakka, Amanda Lenzi, Daniela Castro-Camilo, Daniel Simpson, Finn Lindgren and Håvard Rue

• Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

Elise Hinman

• tmdlTools Guide

Ellis Valentiner

• CookDown

Emil Hvitfeldt and Julia Silge

• Supervised Machine Learning for Text Analysis in R

Emine Fidan

• Guide to Creating Interactive Maps in R

Enrique Garcia Ceja

• Behavior Analysis with Machine Learning Using R

Eric van Holm, PhD

• Introduction to Research Methods
• Working with Data in R

Erik Bülow

• Underlagsrapport för En ännu bättre strålbehandling avseende incidens och prevalens av cancer i Västra Sjukvårdsregionen 2016-2030

Erik Stenberg

• Lösningar i R till vissa uppgifter från övningskompendierna
• Lösningar i R till vissa uppgifter från övningskompendierna (samt lite annat kul)

Erin LeDell

• useR! Machine Learning Tutorial

Ernesto Carrella

• POSEIDON tutorial

Evaluation, Statistics, and Methodology - University of Tennessee, Knoxville

• R Software Handbook

Evrard Louis - l.evrard@student.uclouvain.be - LSBA - UCLouvain, Govaerts Bernadette - bernadette.govaerts@uclouvain.be - LSBA - ISBA - UCLouvain

• Analyses statistiques avec R

Ewen Harrison and Riinu Pius

• R for Health Data Science

exampatutor

• ExamPA.net Overview

eythorbj

• Egils saga Skalla-Grímssonar

Eyþór Björnsson

• Föll í R - Dæmi

Fabien GELINEAU neonira@gmail.com

• Offensive Programming Book

fede_caruso

• Data protection in journalism: a practical handbook

Felipe Ferré

• Modelagem de coortes com dados administrativos
• Sabeis - Sala Aberta de Inteligência em Saúde

Felix E. Rivera-Mariani, PhD

• UPR-PRISE Data Science Workshop 01/26/2019

Fernando Izco

• Base de datos corporativa de personas

Fernández-Casal, R. y Cotos-Yáñez, T.R.

• Escritura de libros con bookdown

Filip Wastberg

• R och Demoskop

Filip Wästberg

• Introduction to R

Filip Wästberg & Torbjörn Sjöberg, Solita

• Kursmaterial Introduktion till R - Certifierad Data Scientist

Filip Wästberg, Solita

• Kursmaterial till Certifierad Data Scientist

Florian Privé

• Advanced R Course

Fousseynou Bah

• Data Science avec R

François Rebaudo

• R para los científicos
• R pour les scientifiques : Mise en œuvre de projets et valorisation des résultats

From The Void

• Season 3 Stlats EDA

Fábio M. Corrêa **Email: f.correa@ru.ac.za

• An introduction to R Markdown

G.L.

• Mathematical methods for Economic analysis

Gabriel Butler UCLA Global Classroom

• ECON 41 Labs

Gabriel Carrasco

• EMMERG Spatial
• Causal Inference
• VDOT_GIS

Gabriel Carrasco-Escobar

• Malaria inequality
• NL and Malaria in Venezuela
• Nighttime Lights and Malaria in the Peruvian Amazon

Gabriel Muñoz

• Literature thesis: Building a framework for retrieving information on multispecies interactions from published literature
• Advances on the analysis on connectivity of Raphia taedigera palm swamps for Central America
• Data lunch 2feb: The use of Bookdown to write documents and reports

Ganesh Viswanathan and Roma Dutta

• Grand Slam Heroes

Gangmin Li

• Do A Data Science Project in 10 Days

Garrett Grolemund

• Hands-On Programming with R

Garrett Grolemund, Hadley Wickham

• R for Data Science

Gary Napier

• Time Series
• Introduction to R

Gaston Sanchez

• Handling Strings With R

Gavin Fay & Ashleigh Novak

• Faylab Lab Manual

gdito

• Praktikum Komputasi Statistika

Georg Zachmann

• An approach to identify the sources of low-carbon growth for Europe

Georg Zachmann, Bruegel gz@bruegel.org, Robert Kalcik, Bruegel robert.kalcik@bruegel.org

• An approach to identify the sources of low-carbon growth for Europe

George W. Matthews

• Philosophical Ethics

Gerhard Krennrich

• Experimental Design and Process Optimization with R

Giorgio Boccardo Bosoni y Felipe Ruiz Bruzzone

• RStudio para Estadística Descriptiva en Ciencias Sociales

Golub Capital Social Impact Lab

• Tutorial
• Policy Learning I - Binary treatment

Goran Kardum

• R - u znanosti i obrazovanju
• Psihologija odgoja i obrazovanja

gorodnichy

• Bilingual Christmas songs
• «Two Lives» by Concordia Antarova

Graduate Employees Union, AFT/AAUP LOCAL 6666

• GEU Constitution and Bylaws

Greg Wilson

• R for Data Engineers

Gruppe B2-19, Ronni Carlsen, Mads Corfixen, Thomas Heede, Christian F. P. Nielsen, Magnus Olesen

• P2 - Simulering af Data

Guangchuang Yu

• Data Integration, Manipulation and Visualization of Phylogenetic Trees

gubiithefish

• R-Notebook

Gökmen Altay

• Reproducible Miracle

Hadley Wickham

• Advanced R

Hadley Wickham and Garrett Grolemund

• R for Data Science

Hadley Wickham, Jennifer Bryan

• R Packages

Hadrien@rstudio.com

• How to Build a Shiny Application from Scratch

Hank Jenkins-Smith, Joseph Ripberger, Gary Copeland, Matthew Nowlin, Tyler Hughes, Aaron Fister, Wesley Wehde, and Josie Davis

• Quantitative Research Methods for Political Science, Public Policy and Public Administration: 4th Edition With Applications in R

Hanlin Tong, Wendy Qian, Yishi Wang

• EDAV Final Project - Chess Analysis

Hans van der Zwan

• Data Analytics

Hansjörg Neth

• Data Science for Psychologists
• Introduction to Data Science

Heejun Lee

• R Basics

Helge Peters and Nathanael Sheehan

• Exploring Digital Water Publics

Henrik Eckermann

• DondeRs Group

Hernández Castelán Jorge Valente

• Trabajo final de estadística aplicada a la mercadotécnia

Hernández Castelán Jorge Valente y Garcia Lozada Hector Andrés

• Los shocks observados en el PIB de México respecto a la tasa de interés y la prima de riesgo (2009-2019)

Hiroaki Yutani

• Practical R Package Development (Japanese)

Hochia

• Chinese Chess in R

Hong hyejin

• R Programming - 1st Homework (202AIE42)

Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter and Julia Lane

• Big Data and Social Science

Ian K Salter

• DJing to Dolphins
• Ian and Molly’s Odyssey

ill-identified

• 三國志で学ぶデータ分析 (Japan.R 2019)

Industrial and Organizational Program Faculty

• MSU PhD Roles and Policy Manual

Integrated Report Team

• R Installation Guide

introrbook

• Introduction

Iosu Paradinas

• Curso R base

iqss.github.io

• Math Prefresher for Political Scientists

Isaac Subirana

• Análisis de datos longitudinales

Isabel Molina Peralta and Eduardo García Portugués

• A First Course on Statistical Inference

J.H. van der Zwan

• Machine Learning Techniques

J.W.Biggs

• Thucydides the Neorealist?
• Introduction to Digital Currency

Jacob Kaplan

• Crime by the Numbers

Jade Benjamin-Chung et al.

• Supplement to Longitudinal analysis of early childhood stunting in low-resource settings

Jake Esprabens, Ari Arango, Joshua Kim

• Time Series for Beginners

Jake Miter

• Using Data Visualization & Storytelling to Gain Organizational Buy-in
• Should I Stay or Should I Go? Retaining A World-Class Workforce at Thrive Media

Jake Vander Laan (jvander@utah.gov), Elise Hinman, & Emilie Flemer, Utah Division of Water Quality

• Utah DWQ’s irTools R package: An automated approach to state-wide water quality assessment

Jake Vander Laan (jvander@utah.gov), Utah Division of Water Quality

• GSL causeway and salinity
• GSL salinity dashboard analyses

Jake Vander Laan, Elise Hinman, & Emilie Flemer, Utah Division of Water Quality

• DWQ’s irTools package: An automated approach to water quality assessment

Jake Vander Laan, Utah Division of Water Quality

• UDWQ wasteloadR R tools
• Great Salt Lake Nutrient Analyses - figures only
• Utah TDS wqTools vignette

Jakub Nowosad

• Geostatystyka w R

James (JD) Long, Paul Teetor

• R Cookbook, 2nd Edition

James Brophy

• (Mostly Clinical) Epidemiology with R

James Craig

• Introduction to tidyvpc

James McBroom

• 1014SCG Statistics - Lecture Notes

James P. Curley & Tyler M. Milewski

• PSY317L Guidebook

Jan de Leeuw

• Block Relaxation Methods in Statistics

Jan de Leeuw, Masanao Yajima

• APL in R

Jan de Leeuw, Patrick Mair, Patrick Groenen

• Multivariate Analysis with Optimal Scaling

Janaina Souza de Souza, Júlia Carolina Bijos, Kaike Wesley Reis

• Uma introdução gentil à Ciência de Dados

Janaina Souza, Júlia Bijos, Kaike Reis

• Uma introdução gentil à Ciência de Dados

janengelstaedter

• BIOL3360 - Analysis and Communication of Biological Data:

Jaroslaw Harezlak & Armando Teixeira-Pinto

• Machine Learning for Biostatistics

Jason Matthiopoulos, John Fieberg, Geert Aarts

• Species-Habitat Associations: Spatial data, predictive models, and ecological insights

Javier Luraschi, Kevin Kuo, Edgar Ruiz

• Mastering Spark with R

Javier Morales (Universidad Miguel Hernández de Elche), Mª Asunción Martínez (Universidad Miguel Hernández de Elche)

• Modelos Estadísticos

Jeanette Mumford

• The MumfordBrainStats Mixed Models Series: Companion for the YouTube series

Jeff Webb

• Course Notes for IS 6489, Statistics and Predictive Analytics

Jeff Wesner, Ph.D., University of South Dakota, Department of Biology, Joseph Raiche, Ph.D., University of South Dakota, Department of English

• Inquiry and Analysis in Biology

Jeffrey B. Arnold

• R for Data Science: Exercise Solutions

Jena University Hospital, Institute of Medical Statistics, Computer and Data Sciences, Julia Palm (julia.palm@med.uni-jena.de)

• Introduction to R
• Introduction to R: Exercises

Jennifer Bryan, Jim Hester

• What They Forgot to Teach You About R

Jeroen Janssens

• Data Science at the Command Line, 1e

Jerome Levesque and David Maybury

• A policy tool for COVID-19 workplace mitigation strategies

Jerry Bean, College of Social Work, The Ohio State University

• Using R for Social Work Research

Jesper Wittrup

• Summary of Presentation at the International Justice Forum in Nur-Sultan 2019

Jess L

• All About Rachel

Jess Li

• Quarantine Notebook

Jessica Kubrusly

• Uma Introdução à Programação com o R

Jessica Mann

• Chronicles of Grandma’s Closet

JHvdZ

• Preken
• Bijbelstudie

Jian SHEN

• Portfolio Construction

Jiansi Gao, Michael R. May, Bruce Rannala, Brian R. Moore

• PrioriTree: Setting up BEAST Discrete-Biogeographic Analyses with Visualized Priors and Assessing Their Impact

Jim Grange

• Grange-Lab Manual

Jimmy Xu

• Marketing Research - MKTG4000

Jizhou Kang

• STAT 243: Stochastic Process
• STAT 205B: Classical Inference
• STAT 7: Discussion Section Materials

Joao M. Souto-Maior, PhD student at NYU

• Notes for Basic Statistics I

Joe Siwinski

• Probabilistic Effects of a Play-In Tournament

Johanna Orellana Alvear - johanna.orellana@ucuenca.edu.ec

• Arboles de decision y Random Forest
• HPC con R para Investigadores

John Coene

• JavaScript for R
• The twinetverse

John Lawson

• An Introduction to Acceptance Sampling and SPC with R

Jonas Rafi

• The jamovi quickstart guide
• jamoviguiden

Jonas Rodriguez, This material is based upon work supported by the National Science Foundation under Grant No. (1733633)

• Mapping Workshop

Jonathan Leslie, Neri Van Otten

• Designing and Building Data Science Solutions

Jonathan Nitzan and Shimshon Bichler

• CAPITAL AS POWER

Jonathan Weisberg

• Odds & Ends

Jonathan Wong

• Data Science and Visualizations with R

Joocheol Kim

• Financial Engineering and TensorFlow

Jordan T. Bates

• Notes on R for AML100

Jordi Mas Elias

• Planeta Dagobah

Jorge Andrade

• La Inteligencia Detrás De La Investigación

Jorge N. Tendeiro

• IRT (GMMSGE01): Parametric IRT (dichotomous data)

Jose Antonio Fortou

• Laboratorio

Josep Espasa Reig

• (Very) basic steps to weight a survey sample

Joseph Ripberger, Cody Adams, Alex Davis, and Josie Davis

• Lab Guide to Quantitative Research Methods in Political Science, Public Policy & Public Administration

Joshua Ganz, Julian Mucha & Eric Rwabuhihi

• Data Visualization Design Project

Joshua Halls

• QA of Code

Joshua M. Rosenberg

• Understanding Work With Data in Summer STEM Programs Through An Experience Sampling Method Approach
• Data Science in Educational Research

josiesmith

• Lab Guide to Quantitative Research Methods in Political Science, Public Policy & Public Administration.

Josip Arnerić ©jarneric@net.efzg.hr

• Statističke metode za ekonomske analize

Jozef Hajnala

• Using Spark from R for performance with arbitrary code

Juan Bosco Mendoza Vega

• R para principiantes

Juan Lopez-Martin, Justin H. Phillips, and Andrew Gelman

• Multilevel Regression and Poststratification Case Studies

Juan Ramos Hernández, Grado en Administración y dirección de Empresas

• Herramientas de visualización interactivas para la toma de decisiones en una startup tecnológica.

Juan Riera

• Introducción a R
• La preparación de un presupuesto industrial
• Manual de Quesería

Julia Silge and David Robinson

• Text Mining with R

Julian Unkel

• Computational Methods in der politischen Kommunikationsforschung

Julien Colomb and Keisuke Sehara

• dealing with gin

Jumping Rivers

• Visualisation with Python

Junghoon Shin

• Guide to Wise Investing

Jürgen Wilbert

• Analyzing single-case data with R and scan

Karla Panchuk, Steven Earle, and contributors (GitHub/bookdown version maintained by Dewey Dunnington)

• Physical Geology

Katarina Domijan, Catherine Hurley

• Notes for ST463/ST683 Linear Models 1

kellobri.github.io

• Supplement to Shiny in Production

Kevin Donovan

• Data Analysis and Processing with R based on IBIS data

Kevin Morales

• On the Fruit of the Holy Spirit
• Accessible Web Development

Kevin Ross

• An Introduction to Bayesian Reasoning and Methods
• An Introduction to Probability and Simulation

Kieran Healy

• Data Visualization

Kim-Anh Le Cao1, Sebastien Dejean2, Al J Abadi3

• mixOmics vignette

Ko Chiu Yu

• Techincal Analysis with R (second edition)
• Techincal Analysis with R

KP

• Data Science and Econometrics for NBA Analytics

Kristin Hunter-Thomson and Jacoby Baker

• Polar-ICE Sci-I Project Development & Implementation Guide

KU Leuven Marketing department

• R for marketing students

kulasj

• Eagle I.O Website Playground

Kyle W. Brown

• R Gallery Book

Lambda Moses, dlu2@caltech.edu, Lior Pachter, lpachter@caltech.edu

• Museum of Spatial Transcriptomics

Laurent Gatto

• An Introduction to Machine Learning with R

Laurie Tupper

• Stat 202 Notes: Spring 2021
• Stat 356 Notes: Spring 2021

lcrfromfzu@qq.com

• 统计学习方法 – 基于R的算法实现

Lecturer: Fábio M. Corrêa **Email: f.correa@ru.ac.za

• Basic R Commands

Lele Shu (shulele@lzb.ac.cn)

• SHUD水文模型

Leo Van | 范叶亮

• TensorFlow 学习笔记

LI Mingze

• Methodology of Social Science & International Relations

Liam

• Cod Prediction

Lin Yu

• A Thesis Draft

Lingyun Zhang

• R tips: 16 HOWTO’s with examples for data analysts

Lionel Henry

• Contributing to GNU R

Lionel Henry, Hadley Wickham

• Tidy evaluation

Lisa Lechner

• Statistik Vorlesung

Logan Kelly, Ph.D.

• R Practices for Learning Statistics

Lorena A. Barba, Lecia J. Barker, Douglas S. Blank, Jed Brown, Allen B. Downey, Timothy George, Lindsey J. Heagy, Kyle T. Mandli, Jason K. Moore, David Lippert, Kyle E. Niemeyer, Ryan R. Watkins, Richard H. West, Elizabeth Wickes, Carol Willing, and Michael Zingale

• Teaching and Learning with Jupyter

Luis Anunciação (PUC-Rio), PhD

• Conceitos e análises estatísticas com R e JASP

Luis Eudave

• Fundamentos de Investigación II

M. Rolland

• Sepages data pre-processing guide

Malte Grosser

• Tidyverse Cookbook

Malte Grosser, Henning Bumann & Hadley Wickham

• Advanced R Solutions

Manisha Munasinghe

• 2019 and 2020 Hybrid Maize x Teosinte Field Data

Manuel Aragonés, Thalía Guerra, Roberto Sánchez and Mónica Zamudio

• Detecting collusion in goverment procurement contracts

Manuele Leonelli

• Simulation and Modelling to Understand Change

Marco Lünich, M.Sc.

• Kurshandbuch

Marcos V. C. Vital - LEQ-UFAL

• Meu log de leitura de R for Data Science

Marcos Vital, do Laboratório de Ecologia Quantitativa da UFAL

• R aplicado à Biologia: uma introdução descomplicada e divertida!

Marek Gagolewski

• Lightweight Machine Learning Classics with R

Maria Gallegos

• Fantastic Genes and Where to Find Them

Marina Wiebe

• Tank Guide

Marius Mather

• Rad: R for academics

Mark Hoffman

• Methods for Network Analysis

Mark Hoffman and Tyler McDaniel

• Introduction to Computational Social Science

Mark Lai

• Course Handouts for Bayesian Data Analysis Class

Mark Padgham and Noam Ross

• rOpenSci Statistical Software Peer Review

Mark R. Payne, John Pinnegar, Manja Kudahl, Georg Engelhardt

• Climate-related Risk to European Fish and Fisheries

Mark Sellors

• Field Guide to the R Ecosystem

Mark van der Laan, Jeremy Coyle, Nima Hejazi, Ivana Malenica, Rachael Phillips, Alan Hubbard

• Targeted Learning in R

Marrow , Heartseeker-US

• Marrow’s Compendium of Dragonslaying

Marta Sestelo

• A short course on Survival Analysis applied to the Financial Industry

Martin Monkman

• Data Analytics Coding Fundamentals
• Data Science with R: A Resource Compendium
• Data Preparation: Essential Steps Before & After Analysis

Martin Pischtschan

• Skript zum MAS Modul Servotechnik

Martin Schedlbauer / Northeastern University / Ars Doceo

• Principles of Computational Information Science

Martin Schedlbauer Khoury College of Computer Sciences Northeastern University Boston (USA)

• Handbook for Building and Teaching Online Courses

Martin Shepperd

• CS5702 Modern Data Book

marwaelatrache

• Fatal Force Study Group - Shiny App

María Teresa Ortiz, Felipe González

• Estadística Multivariada

Math Down

• High School Math Competition

Matheus Amaral Mões, Marcelo Semerene Farah, Luísa Belus Henriques and Daniela de Góes N. Georg

• Exploratory Analysis Project

Mathias Harrer, M.Sc.¹, Prof. Dr. Pim Cuijpers², Prof. Dr. Toshi A. Furukawa³, Assoc. Prof. Dr. David D. Ebert²

• Doing Meta-Analysis in R

Matias Andina

• Introducción a estadística con R

Matthew Sharkey

• Building Web Applications with Shiny and SQL Server

Matthew Sperrin

• Introduction to R for Health Data Science

Matthew Whalen

• Abracadabra Stats - Companion Book
• A Biologists Journey Into Bayesion Inference

Mau-Ting Lin

• Macroeconomics
• Economic Forum
• Data visualization

Max Kuhn and Julia Silge

• Tidy Modeling with R

Max Kuhn and Kjell Johnson

• Feature Engineering and Selection: A Practical Approach for Predictive Models

Maxime de Bellefroid

• The Derivatives Academy

Maxine

• R for data science: tidyverse and beyond

MedTech Foundation

• MedTech Foundation Spoke Guide

Melissa K Sharp

• Strengthening the Reporting of Observational Studies in Epidemiology STROBE (STROBE) Educational Expansion

Mengfei Cai

• Mengfei NeuroBook

Miao YU

• Meta-Workflow
• Notes

Michael A. Rundel, et al.

• Physik Libre

Michael Armanious

• Men’s U-Sports Basketball Analysis

Michael C. Frank, Mika Braginsky, Daniel Yurovsky, and Virginia A. Marchman

• Variability and Consistency in Early Language Learning

Michael C. Wimberly

• Geospatial Data Science With R: Applications in Environmental Geography

Michael Clark

• Practical Data Science
• Introduction to R Markdown
• Machine Learning
• Generalized Additive Models
• Bayesian Basics

Michael Clark m-clark.github.io

• Clustered Data
• Graphical & Latent Variable Modeling
• An Introduction to Text Processing and Analysis with R
• Mixed Models with R

Michael Foley

• Statistics Handbook
• My Data Science Notes

Michael Freeman and Joel Ross

• Technical Foundations of Informatics

Michael Hewlett

• An Introduction to Web Analytics

Michael Levin, MD; Yoav Karpenshif, MD; Megan Burke, MD; and Frank E. Silvestry MD on behalf of the Penn Cardiology Fellowship program

• COVID-19 Resources for Penn Cardiologists

Michael Mahoney

• Introduction to Data Exploration and Analysis with R

Michael Wu

• TIES Measurement Report Automation Project

Michela Cameletti

• Machine Learning for Economics 2020/21: R labs
• Probability and Statistics for Business and Finance - 2020/21
• R Coding for Data Science - 2020/21
• Statistica Applicata per la Finanza - 2020/21

Mika Braginsky, Daniel Yurovsky, Virginia Marchman, Michael Frank

• Wordbank: Language acquisition at scale

Mike Lyons

• COVID Data Analysis

Mike Nguyen

• Marketing Research
• Communication Theories
• A Guide on Data Analysis

Mike X.

• Applet Codebook: CA Partners Daily MindLogger Diary v0.1
• Applet Codebook: HBN EMA for Mindlogger v0.32
• Applet Codebook: NIMH KSADS v0.28
• Applet Codebook: NIMH EMA for Mindlogger v0.27

Mishek Thapa

• Characterizing Disease with the Retinal Code

Mohammad Rosidi

• Panduan Lengkap Analisis Statistika Menggunakan R Commander
• Metode Numerik Menggunakan R Untuk Teknik Lingkungan

multiple

• Krisenmanagement Buch

mwheymans

• index.split

Naim Çınar

• Scenarios for the Future: The Classroom’s Perspective

Name and Surname

• Title of The Web Page

Nana Kim

• Introduction to R (Part 2)
• Introduction to R

Nandini Dendukuri, McGill University

• EXMD 634: Introduction to Quantitative Methods in Experimental Medicine

Naomi J. Goodrich-Hunsaker, Ph.D.

• University of Utah
• Lab Notebook
• University of Calgary ARC Manual

Nathaniel D. Phillips

• YaRrr! The Pirate’s Guide to R

Nicholas DiRienzo

• ISTA 321 - Data Mining

Nicholas Occhipinti, Karyn Cook, Ziyin Liu

• DSBA-5122 Final Project

Nicholas Tierney

• RMarkdown for Scientists

Nicolas Roelandt

• R for Geospatial Processing

Nikita Voevodin

• R, Not the Best Practices

nutjung_nutlc

• Covid Analysis

OldNin

• 国内任天堂 Switch 使用情况与玩家需求调查报告

OpenQuants.com

• The Open Quant Live Book

Oscar Baruffa

• Big Book of R

Oscar Baruffa, Veerle van Son

• Twitter for R programmers

Oscar González Frutos

• Estadística Aplicada con R

Otho Mantegazza

• What does the plant do?

Pablo Casas

• Data Science Live Book

Pastor Panda (Vice Chancellor)

• Dad-joke University of Humour (DUH)

Patricio Araneda

• Base de Datos

Patrick Mendes dos Santos

• Eletrônica Geral

Paul C. Bauer

• Computational Social Science: Theory & Application
• GESIS Workshop: Applied Data Visualization
• Applied Causal Analysis (with R)
• Big data and Social Science

Paul D. Sonkin

• Sentiment Analysis of 49 years of Warren Buffett’s Letters to Shareholders of Berkshire Hathaway

Paul Langard

• Seeing through the developping lens:

Paul Oldham, Stephen Hall, Colin Barnes, Catherine Oldham, Mark Cutter, Natasha Burns, Leonie Kindness

• Valuing the Deep: Marine Genetic Resources in Areas Beyond National Jurisdiction

Paul Paredes1 Pontificia Universidad Católica del Perú

• Máster en derecho de daños

Paul Roback and Julie Legler

• Beyond Multiple Linear Regression

Paulius Alaburda

• Gopnik Guide to Biology

Paúl Bravo L. & Francisco Salgado C.

• Introducción a R y SIG

Peng Zhao

• R bookdownplus Textbook

Perry Stephenson

• Data Science Practice

Peter Baumgartner

• Exercises for ‘Introduction to The New Statistics’
• Notes on Modern Statistics for the Social and Behavioral Sciences (MSSBS)

Peter Baumgartner, Sabine Payr

• Studieren und Forschen mit dem Internet

Peter D.R. Higgins, MD, PhD, MSc

• Reproducible Medical Research with R

Peter K. Dunn

• Scientific Research Methods
• Scientific Research Methods: Tutorials
• Scientific Research Methods: Software

Peter K. Dunn and Margaret Marshman

• The Data Files

Peter Olejua

• Notas sobre Estimación Puntual

Peyman Kor

• Decision-Driven Data Analytics for Well Placement Optimization in Field Development Scenario - Powered by Machine Learning

Pinho Júnior

• Como Começar na Calistenia - Guia Prático

PoMingChen

• Minimal-Git-demo

Prof Dr Matthias Bogaert

• Advanced Predictive Analytics: The Code Book

Prof. Dr. Carsten Sauer

• Applied Statistics

Prof. Dr. Ralf Kellner

• Quantitative Methoden für Wirtschaftswissenchaften
• Regression- und Datenanalyse

Professor Forrest Stuart, TA: Francine Stephens

• The Social Life of Neighborhoods Tutorials: Data Processing & Mapping Tutorials

Professora Alinne Veiga

• PTE-3121 - Planejamento e Análise de Pesquisas Longitudinais

Przemyslaw Biecek and Tomasz Burzykowski

• Explanatory Model Analysis

psyteachr.github.io

• Data Skills for Reproducible Science

Pyradise

• Hello Py: Python 程式設計

Qiushi Yan

• Notes for “Text Mining with R: A Tidy Approach”
• Readings in applied data science

Quang Nguyen

• Footy Fan

Quang Nguyen Data Science Capstone Spring 2020

• The 3-Season Run That Immortalized Russell Westbrook and the Title “Walking Triple-Double”

R.Lappan

• 16S rRNA analysis

Rafael A. Irizarry

• Introduction to Data Science

Rafael Xukuru Kariri

• Legislação e normas da educação escolar indígena

Raghvendra Jain

• Dengue Forecasting Project

Rami Krispin, Amanda Dobbyn, Jarrett Byrnes

• The Covid19R Project Documentation

Randy Ridenour

• Pursuing Truth: A Guide to Critical Thinking

Randy Tarnowski

• ICCU as Employers

Raphaël Mabit

• Remote sensing algorithms to retrieve SPM and CDOM in Québec coastal waters

Ray Hoobler

• An Incomplete Solutions Guide to the NIST/SEMATECH e-Handbook of Statistical Methods

release

• Orchestrating Single-Cell Analysis with Bioconductor

Ricardo Cao Abad (rcao@udc.es) y Rubén Fernández Casal (rfcasal@udc.es)

• Técnicas de Remuestreo

Rik Crutzen & Gjalt-Jorn Ygram Peters

• The Book of Behavior Change

Rob Carroll

• Probability and Statistics

Rob Crystal-Ornelas, PhD

• Meta-analysis of Ecological Data in R

Rob Hayward

• Macroeconomics

Rob J Hyndman and George Athanasopoulos

• Forecasting: Principles and Practice (2nd ed)

Rob Kabacoff

• Data Visualization with R

Robert B. Gramacy

• Surrogates

Robert Barcik

• Authentic Data Science

Robert E. Furrow, Joel Rodriguez-Medina

• BIS23B

Robert Goedegebuure

• Market Segmentation & Clustering
• Market Basket Analysis

Robert Schnitman

• A Short Introduction to Applied Statistical Programming in R

Robert Smith

• Data Science for Public Health Economic Evaluation
• Book of parkrun research

Robin and Katy

• From Madrid to Santiago de Compostela, 2019

Robin Lovelace, Jakub Nowosad, Jannes Muenchow

• Geocomputation with R

Rodolfo Carvajal, Marcos Goycoolea (editores), Con contribuciones de Ismael Valdés, y de todo el equipo de profesores del curso Razonamiento Cuantitativo de Datos, Universidad Adolfo Ibáñez.

• Introducción a R para el razonamiento cuantitativo de datos (Borrador)

Rodrigo Almeida dos Santos - rodrigo.almeida @ gmail.com

• Alfabetização em Dados para Inovação

Roger D. Peng

• Advanced Statistical Computing
• R Programming for Data Science
• Exploratory Data Analysis with R
• A Very Short Course on Time Series Analysis

Roger D. Peng and Elizabeth Matsui

• The Art of Data Science

Roger D. Peng, Sean Kross, and Brooke Anderson

• Mastering Software Development in R

Ron Sarafian

• Introduction to Data Science

Ronald Gualán Saavedra

• Introducción a la Computación con GPUs usando R

rOpenSci software review editorial team (current and alumni): Brooke Anderson, Scott Chamberlain, Laura DeCicco, Julia Gustavsen, Anna Krystalli, Mauro Lepore, Lincoln Mullen, Karthik Ram, Noam Ross, Maëlle Salmon, Melina Vidoni

• rOpenSci Packages: Development, Maintenance, and Peer Review

Rose Graves

• Corrupted Data and the Illicit Arms Trade

Rosemary_Hartman

• Secchi Depth

Rosineide da Paz

• Estatística Descritiva
• Teoria das Probabilidades
• Variáveis Aleatórias
• Espaço Amostral e Eventos

Rubén Fernández Casal (ruben.fcasal@udc.es), Julián Costa (julian.costa@udc.es)

• Aprendizaje Estadístico

Rubén Fernández Casal (ruben.fcasal@udc.es), Ricardo Cao (rcao@udc.es)

• Simulación Estadística

Rushad Faridi, PhD

• Time Series Analysis

Ryan A. Estrellado, Emily A. Bovee, Jesse Mostipak, Joshua M. Rosenberg, and Isabella C. Velásquez

• Data Science in Education Using R

Sacramento Shapers

• Shaper Hands Backend Manual

Salfo Bikienga

• Econ 215 Notes

Samuel Calderon, Isabel Calderon, Sandra Cerna, Antenor Escudero, Christian Reyes

• Entrenamiento en productos de datos: R Markdown

sarah_erickson_m

• Exploring the Arctic through Data

Scott Chamberlain, Maëlle Salmon

• HTTP testing in R

Scott Ming

• Notes and Codes while Learning R

Sean Conner

• An R Exercise in Data Collection, Cleaning, and Merging U.S. Census Data

Sean Kross

• The Unix Workbench

Sebastian Stöckl

• Tidy Portfoliomanagement in R

See contributing.md

• Worked Solutions to Project Euler in R

Sergej Kaiser

• Revealed comparative advantage and network centrality

Sergio Berdiales

• Programación - Desarrollo de Aplicaciones Web
• EDP Sun Power prediction Challenge
• Descenso Internacional del Sella
• Preguntas entrevistas Data Science
• Juego de Tronos - Explorando sus datos
• Calidad del aire en Gijón
• Gijón Air Pollution - An exercise of visualization and forecasting

Sergio Berdiales Nortes

• Catastro. Tratamiento de datos públicos con R

Sergio Berdiales, Javier Campos y Manuel Antonio García

• Hackathon Talento - Reto 2 - Wind Farm
• Hackathon Talento - Reto 1 - SUNLAB

Shaoshuang Wen, University of South Carolina,

• R for Data Science
• POLI 330 International Organization
• R for Everyone (Advanced Analytics and Graphics) and LaTeX

Simon Dufour (Professeur à la Faculté de Médecine vétérinaire de l'Université de Montréal)

• Épidémiologie 2 - Labo informatique R (PTM-6675)

Siraj Raval, revisited by Kim NOËL

• Make money with machine learning

Slezák Martin

• Untitled

Solveig Bjørkholt

• Webscraping med R

Stanford Data Lab

• Visualization

Statistics Team, PPLS

• Introductory Resources: Statistics and R

Statistics/Data Science at St. John Fisher College

• STAT160 R/RStudio Companion

Stefanie Wind & Cheng Hua

• Rasch Measurement Theory Analysis in R: Illustrations and Practical Guidance for Researchers and Practitioners

Steve Doogue

• Common statistical tests are linear models: a work through

Steve Midway

• Data Analysis in R
• Bayesian Hierarchical Models in Ecology

Student Number: 19175131

• Dispersing or clustering: Spatial Pattern Analysis for Public Use and Taxi’s Rapid Charging Facilities in London, UK

Sujata Ramnarayan

• R for Fundamental Data Analysis in Market Research

Sungchan Kang

• Regression Analysis using R and SAS

Surge Networks Inc.

• Official Guidance：Understanding Surge
• Surge 官方中文指引：理解 Surge 原理

Sveinung Arnesen, Troy S. Broderstad, Mikael P. Johannesson, Jonas Linde

• The Status Quo Bias in Referendums

sveinungarnesen78

• How to be civil about political loss – The importance of good loser messages
• A guide to the 2017 European Internet Panel Study

Søren O’Neill

• Guide til klinikophold

Tae Geun Kim

• Machine Learning with Rust

Taeyeon Chung

• Exercise

taleedsabawi

• HOW TO PROTEST FROM HOME

Teaching & Learning Centre

• Interactive Teaching Techniques

Technaut

• Panduan Menyusun Database Menggunakan Microsoft Access

Tejendra Pratap Singh

• Political Compass in the Random World
• Introduction to Time Series Analysis and Forecasting in R

Terrill Paterson

• How to talk about data

Thalita do Bem Mattos

• Noções de Inferência no R

The Geber Lab

• Mayapple analyses

The IsoriX core Team

• IsoriX: Isoscape Computation and Inference of Spatial Origins using R

The SKY Community

• Statistical Tools for Causal Inference

thea_knowles

• Dissertating with RMarkdown and Bookdown

Theodore Wiebold

• Multivariate Statistical Analysis using R

Thieu Nguyen

• R Programming Tutorial

Thomas S. Robinson (

• 10 Fundamental Theorems for Econometrics

Thích Nhất Hạnh

• Đạo Phật Qua Nhận Thức Mới

Tiago A. Marques

• Notes for Ecological Modelling

Tiago A. Marques, Susana França, Ana Sofia Reboleira e os alunos de Ecologia Numérica 2020/2021

• Ecologia numérica 2020/2021: Trabalho 4

Tiffany-Anne Timbers, Trevor Campbell, Melissa Lee

• Data Science: A First Introduction

Tim P. Lenters, Andrew Henderson, Caroline M. Dracxler, Guilherme A. Elias, Suzanne Mogue, Thomas L.P. Couvreur & W. Daniel Kissling

• Integration and harmonization of trait data from plant individuals across heterogeneous sources

Tim Pengajar :, Dr. Bagus Sartono, M.Si dan Aep Hidayatuloh, S.Stat

• Modul Pelatihan Riset Kuantitatif Ekonomi dan Manajemen INSW

Tim Trice

• Backtesting Strategies with R

Tomislav Hengl and Robert A. MacMillan

• Predictive Soil Mapping with R
• Predictive Soil Mapping with R

Tommy Cornally

• Building Pension Models and Actuarial Tools Using R and R Shiny

Tomás J. Aragón

• Population Health Data Science with R
• Field Epidemiology with R

Tomáš Bacigál

• Úvod do analýzy údajov pomocou R

Tormod Bøe

• Writing papers with R and friends

Tormod Bøe Førsteamanuensis

• Dokumentasjon av utdanningsfaglig kompetanse

tpemartin

• 課程介紹
• 課程大綱
• 高中生的未來事件簿

Travis Kassab

• Data Science for Human-Centered Product Design

Trevor Hefley

• Applied Spatio-temporal Statistics
• Project ideas for Applied Population and Statistical Ecology

Trong-Thang Pham

• A notebook Paper Causal Effect Inference with Deep Latent-Variable Models
• A notebook AICity Challenge

TS

• PsyBSC 2 Statistik

UDWQ Integrated report team

• Utah IR R tools user guide

ugurdar

• Why R Turkey 2021 Konferansı

Ulrik Lyngs, Kai Lukoff, Petr Slovak, Reuben Binns, Adam Slack, Michael Inzlicht, Max Van Kleek, Nigel Shadbolt

• Self-Control in Cyberspace: Applying Dual Systems Theory to a Review of Digital Self-Control Tools

University of Washington Center for Quantitative Science, Updated by the TrEnCh Project

• Calculus-Integration

UW STAB Working Group

• STAB Tutorials

Uğur Dar

• Doğrusal (Lineer) Regresyon
• R Programlama - Başlangıç

Vahid Shahrezaei

• Calculus and Applications - Part II

Valerie Hase, IKMZ, Universität Zürich

• Forschungsseminar: Text as data

Varios

• Disentangling the contribution of climate,deforestation,and control efforts on malaria epidemiology in the peruvian amazon rainforest

VCRIS logo Virginia Department of Historic Resources

• VCRIS User Guide

Victor Cuspinera

• Guía para usar Haver Analytics

Vikram Singh Rawat

• Best Coding Practices for R
• Learn RDataTable

Vinayak Anand-Kumar

• Applications of Machine Learning in Imputation

vincentsaudanba

• Analysis

Vinicius Moreira

• Responsabilidade Social no Exercício da Engenharia
• Engenharia de Recursos Hídricos

Vuignier, Cédric and Lovey, Gaëtan

• Project - Report

W. Alton Russell

• MODELS TO INFORM THE SAFE COLLECTION AND TRANSFUSION OF DONATED BLOOD

Wanda Bodnar

• An Introduction to the Thames and using GIS for the Fish Migration Roadmap

Wayne de Fremery

• Introduction to Korean Literature
• Introductory Seminar in Korean Studies

Weicheng Zhu

• Shiny Tutorial

Wesley Wehde, Hank Jenkins-Smith, Joseph Ripberger, Gary Copeland, Matthew Nowlin, Tyler Hughes, Aaron Fister, and Josie Davis

• Quantitative Research Methods for Political Science, Public Policy and Public Administration for Undergraduates: 1st Edition With Applications in R

William G. Foote

• Financial Engineering Analytics: A Practice Manual Using R

William Guardado

• A Minimal Book Example

Winston Chang

• R Graphics Cookbook, 2nd edition

wxhyihuan

• English writing for CET6
• 简介与传送门

Y. Wendy Huynh

• R for Graduate Students

Yaniv Brandvain

• Applied Biostats

Yann Ryan

• A Short Guide to Historical Newspaper Data, Using R

Yaohui Ding

• PSY230: Psychological Measurement and Statistics

yifan_wang

• Coding Guide

Yifei Xiong

• Some Notes on Mathematics

Yihui Xie

• bookdown: Authoring Books and Technical Documents with R Markdown
• TRABAJO DE CALIDAD DE AGUA RIMAC
• A Minimal Book Example

Yihui Xie, Amber Thomas, Alison Presmanes Hill

• blogdown: Creating Websites with R Markdown

Yihui Xie, Christophe Dervieux, Emily Riederer

• R Markdown Cookbook

Yihui Xie, J. J. Allaire, Garrett Grolemund

• R Markdown: The Definitive Guide

yiugn@naver.com

• 너무나도 중요한 소식

yuaye_kt

• Chapter 1 Prerequisites

Yuleng Zeng

• An Introduction to R, LaTeX, and Statistical Inference
• Social Advocacy & Ethical Life
• An Introduction to Game Theory
• An Introduction to R and LaTeX

Yunlong Yang

• GSBS Core Course Biostats Modules in R

Zach Bogart, Joyce Robbins

• edav.info/

Zev Ross (with Andrew Clark)

• R Powered Web Applications with Shiny

Zhenning ‘Jimmy’ Xu, Ph.D.

• Marketing Channel: A Strategic, Analytical, and Technological perspective

Zhilin Su

• Notes of English Writing for Academic Pursuit

Zuguang Gu

• ComplexHeatmap Complete Reference

ΔΓ

• Entre le terre et le ciel

Андрей Городничий

• «Кубатура Шара»

Андрей Огурцов

• Руководство по data.table

Василенко Євген

• Прикладна аналітика для активістів природоохоронного руху

Дмитрий Городничий

• «Детский альбом»
• «Le long de la voie lactée» (Love songs
• «По ту сторону горизонта»

Митрохин Максим Александрович

• Основы обучаемых алгоритмов интеллектуальных систем

Михаил Лысенко

• Методические указания по выполнению расчётно-графической работы в R

॥ विक्रम सिँह रावत ॥

• ॥ दिल की गिरह खोल दो ॥

“Jordi Compte, Rafael Muñoz-Mas, María Antón-Pardo & Stéphanie Gascón”

• “Guia bàsica d’ús d’R amb Rstudio”

于淼

• 自然生活的数学原理
• 现代科研指北
• 数据分析残卷

何志坚

• 数理统计讲义

北川 梨津，原 健人

• 『Rによる原因を推論する』

北川梨津

• 西山 他『計量経済学』のためのR

国里愛彦(専修大学)・竹林由武(福島県立医科大学)

• 今日からできる再現可能な論文執筆

國立臺北大學 林茂廷老師

• 經濟數學程式設計專題
• 資料科學程式設計–進階

國立臺北大學經濟學系-經濟時事與多媒體出版

• 網頁外掛功能：GA,Share,Comments

大鹏

• GuitaR Bookdown

大鹏&朋友

• Papa’s Three Laws

施旸 Yvette

• OcFund QGG海内外基金调研

曾意儒 Yi-Ju Tseng

• 資料科學與R語言

李彦杰

• R语言基础及光谱建模应用

林凱浩

• 圖書推薦系統

林建甫 Jeff Lin

• R 資料科學與統計

林茂廷, 國立臺北大學經濟學系

• 經濟資料視覺化處理

林茂廷老師

• 數量方法（一）
• ggplot2 介紹
• 網頁入門
• Github 介紹
• R Markdown 介紹
• Shiny (I)

王 超辰 Chaochen Wang

• 醫學統計學

王敏杰

• 数据科学中的 R 语言
• 基于R语言的科研信息分析与服务
• CFPS 之R语言学习笔记

王树义

• 文科生数据科学上手指南

王祎帆, 闫求识, 高春辉

• R Markdown 指南

矢内 勇生

• KUT 計量経済学応用

红领巾

• Cracking The First Year Exam

统计科学部

• 滴滴实验白皮书

罗飞

• LuoFei的R学习笔记

芝田 征司

• jamoviクイックガイド（Analysis編）

蔡國梁

• 通識課程推薦系統

谢益辉, 肖楠, 坑主三, 坑主四

• R语言忍者秘笈

赵鹏, 谢益辉, 黄湘云

• 现代统计图形

邱睿

• 一个简单的PTE教程

郭晓

• R 数据分析指南与速查手册

郭耀仁

• 認識 R 的美好

黄湘云

• 现代应用统计与 R 语言
• 数据科学与 R 语言
• 数据科学工作流
• 空间广义线性混合效应模型及其应用

黄湘云 & 叶 飞

• Elegant Bookdown Template

김광태

• Paper_Analytics(1)
• HR 분석 실무자를 위한 R Tips

김진섭

• 기초통계 개념정리

문 건 웅

• 웹R을 이용한 통계분석
• 일반화가법모형 소개

문건웅

• 밑바닥부터 시작하는 ROC 커브 분석

설시내

• HW_01

소방빅데이터담당

• 소방 빅데이터 업무편람

소프트웨어교육전공 192SEE01 김미경

• 교육용 프로그래밍 Home Work 1