List of books by authors

• Processo de Produção do Formaldeído
• 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 guide produced by the UNC Psychology & Neuroscience DEI Education Subcommittee

• Diversity, Equity, and Inclusion in Teaching

A Solomon Kurz

• Doing Bayesian Data Analysis in brms and the tidyverse
• 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
• Recoding Introduction to Mediation, Moderation, and Conditional Process Analysis
• Statistical Rethinking with brms, ggplot2, and the tidyverse

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
• 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

Amanda Shaker

• STM1001 Week 1

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

Ann Garbett

• New Adolescent Fertility Measures for the Long-term Perspective

Anne-Cécile Mermet

• Behind changing windows: understanding shop changes in Miðborg

Anouar El Ghouch

• Exploration de données avec R

Anshul Kumar

• Responsible applied statistics in R for behavioral and health data (working title)
• MGHIHP HE-802, Spring 2021
• 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
• Resampling method

Armando Teixeira-Pinto & Jaroslaw Harezlak

• Machine Learning for Biostatistics
• 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

Arthur Small, Principal Scientist

• Data Science Boot Camp

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

Author: Emma Strand; Ph.D. Student at the University of Rhode Island

• Comprehensive Exam Study Guide

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 2
• 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

Benjamin Meyer (ben@kenaiwatershed.org)

• Miller Creek and Vogel Lake Water Quality

Berry Boessenkool, berry-b@gmx.de

• R course
• rdwd

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

• Novel Approaches and Analytics
• CI 5371: Learning Analytics

Boris Shor

• Health Policy Reform in the 50 States, 2011-2021

BOUSSENGUI François - SABAYE Fried-Junior - BARRE Nicolas

• Moindres Carrés Ordinaires et alternatives

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 Casey

• River Valley Connectivity Project

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 Lucian & Claudia Jakelline

• Análise de Dados em R - nível intermediário
• Introdução à Análise de Dados em R

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

Bsmsimul

• Report BSM

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

Cainã, Martins, Jaloto e Dinardi

• R para Psicólogos

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

Canadice

• Franchise Hockey Manager 6 Saves in R

Carson Sievert

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

Chaeeun Song

• Review and Homework for Programming for Educational Research

Charles T. Makowski, PharmD

• Pharmacy Primer for T-SQL Database Interrogation

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

Christine Griffith

• Work Portfolio

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

• A primer for biostatistics in R
• Biology for environmental management pocketguide
• 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

content

• Introduction to Statistics 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 Camilo Aguirre Acevedo. PhD, Magister en Epidemiología. Estadístico informático.

• Curso de R con fines de ciencia reproducible. Nivel Básico

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

• Bioestadística
• Bodega de datos
• 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. An Evolving Translation: Esna III
• The Temple of Esna. An Evolving Translation: Esna II

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

• BIONB 2210 Summer 2021 Computer Labs
• 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

Dr. Lauren Cappiello

• Course Notes for Introduction to Statistics

Dr. Man Kai Wen & Cheng Hua

• Beyes R Book

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

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

Earo Wang

• Tidy tools for supporting fluent workflow in temporal data analysis

Editor: Helene Wagner (University of Toronto)

• Landscape Genetic Data Analysis with R

Editor: Sam Tyner, Ph.D.

• Open Forensic Science in R

Eduardo García Portugués

• Notes for Nonparametric Statistics
• Notes for Predictive Modeling
• Lab notes for Statistics for Social Sciences II: Multivariate Techniques
• 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 Bastos Gorgens, Marcio Leles Romarco de Oliveira

• Computação em R: Análise experimental

Eric van Holm, PhD

• Introduction to Research Methods
• Working with Data in R

Eric Zivot

• Introduction to Computational Finance and Financial Econometrics with 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 Meinel florian.meinel@jura.uni-goettingen.de

• Skript zur Vorlesung Staatsrecht II – Grundrechte

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

Gastón Becerra y Juan Pablo López Alurralde

• Introducción a la ciencia de datos con R.

Gavin Fay & Ashleigh Novak

• Faylab Lab Manual

Gavin Masterson

• Data Visualization for Conservation

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

Gio Circo

• Crime Mapping and Analysis

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

• Customer-Analytics-Business-Intelligence
• 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

Halvard Arntzen

• Log 708 Compendium - INCOMPLETE VERSION

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

Haoqi Wang

• 2021 REU Data Science Training

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

Ignacio Pascual Gutiérrez

• Laboratorio de Computación - Bookdown

ill-identified

• 三國志で学ぶデータ分析 (Japan.R 2019)

Ilán F. Carretero Juchnowicz

• ADVANCED REGRESSION AND PREDICTION: MACHINE LEARNING TOOLS

Industrial and Organizational Program Faculty

• MSU PhD Roles and Policy Manual

Integrated Report Team

• R Installation Guide

Introduction To Data Science

• Practical Data Skills

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. Kyle Armstrong

• Fundamentals of Wrangling Healthcare Data with R
• Fundamentals of Wrangling Healthcare Data with R

J.H. van der Zwan

• Machine Learning Techniques

J.W.Biggs

• Thucydides the Neorealist?
• Introduction to Digital Currency

Jacob Kaplan

• Crime by the Numbers: A Criminologist’s Guide to R

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 Hutchison, Anna Deasey, Flora Donald & Becky Trippier, Ecosystems Analysis, Joint Nature Conservation Committee (JNCC)

• Landscape Nature Recovery Pilot: Methods for spatially prioritisating outcomes under the pilot LNR scheme.

James McBroom

• 1014SCG Statistics - Lecture Notes

James P. Curley & Tyler M. Milewski

• PSY317L & PSY120R Guidebook
• PSY317L Guidebook

James Scott

• Data Science in R: A Gentle Introduction

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

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• Modelos Estadísticos

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• Course Notes for IS 6489, Statistics and Predictive Analytics

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• Inquiry and Analysis in Biology

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• R for Data Science: Exercise Solutions

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• Introduction to R
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• What They Forgot to Teach You About R

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• Using R for Educational Research

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• Using R in Social Work Research
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• Introduction to Environmental Data Science

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

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• Arboles de decision y Random Forest
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• JavaScript for R
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• An Introduction to Acceptance Sampling and SPC with R

Jonas Rafi

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• Mapping Workshop

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• Designing and Building Data Science Solutions

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• CAPITAL AS POWER

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• Odds & Ends

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• 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

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• Laboratorio

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

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• 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
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josiesmith

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Josip Arnerić & Anita Čeh Časni ©jarneric@net.efzg.hr, aceh@net.efzg.hr

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• Using Spark from R for performance with arbitrary code

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• R para principiantes

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• Multilevel Regression and Poststratification Case Studies

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

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• Introducción a R
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• Text Mining with R

Julian Unkel

• Computational Methods in der politischen Kommunikationsforschung

Julien Colomb and Keisuke Sehara

• dealing with gin

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• Physical Geology

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• Merging Discussion

Kayvan Nejabati Zenouz

• R&Shiny for Data Science, Finance, and Software Development

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• Supplement to Shiny in Production

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• On the Fruit of the Holy Spirit
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KLEVER CURAY

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• Techincal Analysis with R (second edition)
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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

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• R Gallery Book

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• An Introduction to Machine Learning with R

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lcrfromfzu@qq.com

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• Notes of Analysis of Functional MRI

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• Methodology of Social Science & International Relations

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• Cod Prediction

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

Lionel Henry

• Contributing to GNU R

Lionel Henry, Hadley Wickham

• Tidy evaluation

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• Statistik Vorlesung

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• R Practices for Learning Statistics

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• Teaching and Learning with Jupyter

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• Conceitos e análises estatísticas com R e JASP

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• Fundamentos de Investigación II

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• Solutions Calculus Vol 1 2th Edition

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• Tidyverse Cookbook

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• Advanced R Solutions

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Manuel Aragonés, Thalía Guerra, Roberto Sánchez and Mónica Zamudio

• Detecting collusion in goverment procurement contracts

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• Simulation and Modelling to Understand Change

Marco Garofalo

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• Kurshandbuch

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

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• Lightweight Machine Learning Classics with R

Maria Gallegos, Cal State University East Bay

• Fantastic Genes and Where to Find Them

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• Tank Guide

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• Rad: R for academics

Mark Hoffman

• Methods for Network Analysis
• Introduction to Computational Social Science

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• 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

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

• Targeted Learning in R

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• Marrow’s Compendium of Dragonslaying

Marta Sestelo

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

Martin Monkman

• The Data Preparation Journey
• Data Analytics Coding Fundamentals
• Data Science with R: A Resource Compendium

Martin Pischtschan

• Skript zum MAS Modul Servotechnik

Martin Rydén, Lund University, martin.ryden[at]med.lu.se

• ProteoMill

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

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• CS5702 Modern Data Book

marwaelatrache

• Fatal Force Study Group - Shiny App

María Asunción Martínez Mayoral (asun.mayoral@umh.es)

• Lean Seis Sigma

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, Pim Cuijpers, Toshi A. Furukawa, David D. Ebert

• 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

• How does R fit a linear model?
• Abracadabra Stats - Companion Book
• A Biologists Journey Into Bayesion Inference

Mau-Ting Lin

• Macroeconomics
• Economic Forum
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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

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• Mengfei NeuroBook

Miao YU

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• Physik Libre

Michael Armanious

• Men’s U-Sports Basketball Analysis

Michael Branion-Calles

• A Crash Course in Geographic Information Systems (GIS) using R

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
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Michael Clark m-clark.github.io

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

• Time Series Analysis
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• 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
• R Coding for Data Science - 2020/21
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• Wordbank: Language acquisition at scale

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• A Guide on Data Analysis
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• Applet Codebook: CA Partners Daily MindLogger Diary v0.1
• Applet Codebook: HBN EMA for Mindlogger v0.32
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• Panduan Lengkap Analisis Statistika Menggunakan R Commander
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multiple

• Krisenmanagement Buch

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• Book_MI.knit

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• Scenarios for the Future: The Classroom’s Perspective

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• Introduction to R (Part 2)
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Nandini Dendukuri, McGill University

• EXMD 634: Introduction to Quantitative Methods in Experimental Medicine

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• University of Utah
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• YaRrr! The Pirate’s Guide to R

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• ISTA 321 - Data Mining

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• DSBA-5122 Final Project

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Pastor Panda (Vice Chancellor)

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• Computational Social Science: Theory & Application
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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

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Paul Roback and Julie Legler

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Paulius Alaburda

• Gopnik Guide to Biology

Paúl Bravo L. & Francisco Salgado C.

• Introducción a R y SIG

Peng Zhao

• R bookdownplus Textbook

Perry Stephenson

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Peter Baumgartner

• Exercises for ‘Introduction to The New Statistics’
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Peter Baumgartner, Sabine Payr

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

• Reproducible Medical Research with R

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Peter K. Dunn and Margaret Marshman

• The Data Files

Peter Lupu and Arthur Small

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Peter Olejua

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Pinho Júnior

• Como Começar na Calistenia - Guia Prático

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probability

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Professora Alinne Veiga

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Przemyslaw Biecek and Tomasz Burzykowski

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Qiushi Yan

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Quang Nguyen

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Quang Nguyen Data Science Capstone Spring 2020

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Rafael Xukuru Kariri

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Raghvendra Jain

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Rami Krispin, Amanda Dobbyn, Jarrett Byrnes

• The Covid19R Project Documentation

Ramon Perdigao

• R Essentials for Six Sigma Analytics

Ramzi W. Nahhas

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Randy Ridenour

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release

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Rob Crystal-Ornelas, PhD

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Rob Hayward

• Macroeconomics

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• Forecasting: Principles and Practice (2nd ed)

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Robert B. Gramacy

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Robert Barcik

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Robert E. Furrow, Joel Rodriguez-Medina

• BIS23B

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• A Short Introduction to Applied Statistical Programming in R

Robert Smith

• Data Science for Public Health Economic Evaluation
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Roberto C. Duarte

• Curso R 2021

Robin and Katy

• From Madrid to Santiago de Compostela, 2019

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• Geocomputation with R

Robson Wilson Silva Pessoa

• Anotações do treinamento R

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

• Introducción a R para el razonamiento cuantitativo con datos

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• 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

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• rOpenSci Packages: Development, Maintenance, and Peer Review

Rose Graves

• Corrupted Data and the Illicit Arms Trade

Rosemary_Hartman

• Secchi Depth

Rosineide da Paz

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• Teoria das Probabilidades
• Variáveis Aleatórias
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Rubén Fernández Casal (ruben.fcasal@udc.es), Julián Costa (julian.costa@udc.es)

• Aprendizaje Estadístico

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• Simulación Estadística

Ruohan Li

• R 语言学习笔记

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, Felipe Bedoya, Maira Chamota, Jennifer Ponce, Nelly Reyes, Almendra Rodriguez

• Elaboración de productos de datos: Reportes con R Markdown

Samuel Calderon, Sandra Cerna, Antenor Escudero, Christian Reyes

• Entrenamiento en productos de datos: R Markdown

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• Exploring the Arctic through Data

Scott Chamberlain, Maëlle Salmon

• HTTP testing in R

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Sean Conner

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Sean Kross

• The Unix Workbench

Sebastian Stöckl

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• Worked Solutions to Project Euler in R

Sergej Kaiser

• Revealed comparative advantage and network centrality

Sergio Berdiales

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• Descenso Internacional del Sella
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• 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
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Shaoshuang Wen, University of South Carolina,

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Shuai Huang & Houtao Deng

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

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Siraj Raval, revisited by Kim NOËL

• Make money with machine learning

Slezák Martin

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Solveig Bjørkholt

• Webscraping med R

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• Introductory Resources: Statistics and R

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Stefanie Wind & Cheng Hua

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

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• Virginia Local Tax Rates, 2019

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Student Number: 19175131

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Sujata Ramnarayan

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Sungchan Kang

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