List of books by authors

• Orchestrating Single-Cell Analysis with Bioconductor
• Statistical Thinking for the 21st Century | statsthinking21

@kazutan

• ggplot2逆引き集

A Solomon Kurz

• 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

Ace Mark Acebedo

• Knowing the KPI Trend Without Seeing the Chart

Alejandro Quintela del Rio

• Estadística Básica Edulcorada

Aleksander Dietrichson, PhD

• Métodos Cuantitativos

Alessio Crippa

• Novel methods for dose–response meta-analysis

Alex Hallam

• Simulation And The James-Stein Estimator In R

Alfonso R. Reyes

• A Minimal rTorch Tutorial

Alfredo E. Gonzalez

• Alfredo’s Laboratory Notebook

Alfredo Enrique Gonzalez

• Alfredo’s Laboratory Notebook

Ali Zaidi, Machine Learning and Data Science, Microsoft

• Scalable Machine Learning and Data Science with Microsoft R Server and Spark

Altuna Akalin

• Computational Genomics with R

Amarin Siripanich

• The dymiumCore package

Anastasia Ushakova and Emma Waterston

• PPLS PhD Training Workshop: Statistics and R

Anastasia Ushakova and Milan Valasek

• PhD Training Workshop: Statistics in R

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

André Calero Valdez

• Computational Communication Science mit R

Andrés Gutiérrez

• Muestreo y análisis de estudios educacionales con R

Andy MacLachlan and Adam Dennett

• CASA0005 Geographic Information Systems and Science

Anouar El Ghouch

• Exploration de données avec R

Anshul Kumar

• MGHIHP HE-902, Spring 2020
• MGHIHP HE-802, Spring 2020

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

Arredondo Sánchez Andrea Elizabeth, Vargas Mendoza Ana Luisa

• Bookdown

Associação Brasileira de Jurimetria

• ABJ Syllabus

Authors: The RIPLRT

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

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

Beckett Stephens

• The Final War

Ben Gonzalez

• PostgreSQL Explained for R-Users and R-Programmers

Berry Boessenkool, berry-b@gmx.de

• 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

Bradley Boehmke & Brandon Greenwell

• Hands-On Machine Learning with R

Brendan R. E. Ansell @ansellbr3

• Introduction to R - tidyverse

Brian O’Meara

• Comparative Methods

Brooke Anderson

• Data Visualization in R

Bruno Rodrigues

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

Brynjólfur Gauti Jónsson

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

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

Callum Arnold

• A Guide to Reproducible Research

Carlos Alcalá

• From my lovers and others. (Letters from 2013-2014)

Carson Sievert

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

chen

• Applied Social Network Analysis in Education

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

Chester Ismay, Albert Y. Kim, and Chris Teplovs

• Statistical Inference via Data Science

Chiayi Yen

• Data Visualization Project

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

Christoph Hanck, Martin Arnold, Alexander Gerber and Martin Schmelzer

• Introduction to Econometrics with R

Christoph Molnar

• Interpretable Machine Learning

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

Claire Della Vedova, pour Data Value

• Module Initiation

Claus O. Wilke

• Fundamentals of Data Visualization

Clement Lefevre

• Uber Movement dataset : playing with spatial data

Colin Gillespie, Robin Lovelace

• Efficient R programming

Conor I. Anderson and Karen L. Smith

• Climate Change Impact Assessment: A practical walk through

Constantin Colonescu

• Principles of Econometrics with R

content

• Réalisation de Mini Projets R

Cristóbal Moya

• Basic Social Justice Orientations scale testing

Daniel J Carter

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

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

• jamoviで学ぶ心理統計

Darrin Speegle

• Foundations of Statistics with R

Davi Moreira

• Text as Data para Ciências Sociais

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

Daxue Consulting

• Brief introduction to Statistic

Department of Psychology, University of Edinburgh

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

Derek Corcoran

• Manipulación de datos e investigación reproducible en R

Dhavide Aruliah and Greg Wilson

• The Tidynomicon

Didzis Elferts

• Praktiskā biometrija

Director: Thea Knowles, PhD

• CASA Lab Coding for Speech Group

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»

Dr. Buddini Ekanayake & Dr. David Fong

• A Appendix A - SQL code | Cervical Screening - telephone-based recall (2019)

Dr. David Reinstein, University of Exeter, main web page, innovationsinfundraising.org, Twitter: givingtools

• Researching and writing for Economics students

Dr. Taleed El-Sabawi

• Property Class Spring 2020

Dr.Thunder, Ming, Youcai

• 液体活检口袋书

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. Hinman

• LDC Walk Through

Eagle I-O

• MSU I-O Student Mentorship Program User Manual

Eagle I.O

• Eagle I.O Consultant Manual
• Eagle I.O Consultant Guidelines

Earo Wang

• Tidy tools for supporting fluent workflow in temporal data analysis

Ed Anderson

• Applications of Multivariate Analysis in Business
• R Studio: A 3D Printer for Business Analytics

Editor: Sam Tyner, Ph.D.

• Open Forensic Science in R

Eduardo García Portugués

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

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

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

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

• Data Science in Education Using R

Eric van Holm, PhD

• Introduction to Quantitative Methods 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

Ewen Harrison and Riinu Pius

• HealthyR: R for health data analysis

exampatutor

• ExamPA.net Overview

Exercise and data: Anthony Clairmont; Assistance, web: Daniel Katz; Direction: Mike Wilton

• Measuring what Matters: Introduction to Rasch Analysis

eythorbj

• Egils saga Skalla-Grímssonar

Eyþór Björnsson

• Föll í R - Dæmi

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

Ferrologic

• Kursmaterial till Certifierad Data Scientist

Filip Wastberg

• R och Demoskop

Filip Wästberg

• Introduction to R

Florian Privé

• Advanced R Course

Fousseynou Bah

• Data Science avec R
• Chapitre 4 Importer des données dans R | Data Science avec R

Francisco Parra

• 7 Agrupación de la información | Estadística y Machine Learning con R

François Rebaudo

• R pour les scientifiques : Mise en œuvre de projets et valorisation des résultats
• Aprender R: iniciación y perfeccionamiento

Gabriel Butler UCLA Global Classroom

• ECON 41 Labs

Gabriel Carrasco

• RSCD - JR
• EMMERG Spatial
• VDOT_GIS

Gabriel Carrasco Escobar

• FMPH291 Assignment 1

Gabriel Carrasco-Escobar

• FPM280B - Practicum
• 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

Garrett Grolemund

• Hands-On Programming with R

Garrett Grolemund, Hadley Wickham

• R for Data Science

Gaston Sanchez

• Handling Strings with R

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

Giles Knight

• 3 Chicken Chicken Chicken | Chicken Chicken Chicken: Chicken Chicken

Giorgio Boccardo Bosoni y Felipe Ruiz Bruzzone

• RStudio para Estadística Descriptiva en Ciencias Sociales

Goran Kardum

• Literatura

gorodnichy

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

Grupo SAE - USTA

• Estimacdiión en dominios pequeños

Gökmen Altay

• Reproducible Miracle

Hadley Wickham

• Advanced R

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

Hans van der Zwan

• Data Analytics

Hansjörg Neth

• Data Science for Psychologists

Hiroaki Yutani

• Practical R Package Development (Japanese)

Hochia

• Chinese Chess in R

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)

Integrated Report Team

• R Installation Guide

iqss.github.io

• Math Prefresher for Political Scientists

Isabel Molina Peralta and Eduardo García Portugués

• A First Course on Statistical Inference

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 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

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

• 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

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

janengelstaedter

• BIOL3360 - Analysis and Communication of Biological Data:

Javier Luraschi, Kevin Kuo, Edgar Ruiz

• Mastering Spark with R

Jeanette Mumford

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

Jeff Webb

• Course Notes for IS 6489, Statistics and Predictive Analytics

Jeffrey B. Arnold

• R for Data Science: Exercise Solutions

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

• The Hitchhiker’s Guide to the tlverse

Jeroen Janssens

• Data Science at the Command Line

Jesper Wittrup

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

Jim Grange

• Grange-Lab Manual

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

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

John Coene

• The twinetverse

John Lawson

• An Introduction to Acceptance Sampling and SPC with R

Jolene Quek

• Comparing Social Dynamics of a Rental and Purchased Block

Jonas Rafi

• jamoviguiden
• The jamovi quickstart guide

Jonathan Weisberg

• Odds & Ends

Jonathan Wong

• Data Science and Visualizations with R

Jordan T. Bates

• Notes on R for AML100

Jorge N. Tendeiro

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

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 & Catrin

• RAP Guide for ONS

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.

Jozef Hajnala

• Using Spark from R for performance with arbitrary code

Juan Bosco Mendoza Vega

• R para principiantes

Julia Silge and David Robinson

• Text Mining with R

Julie Legler and Paul Roback

• Broadening Your Statistical Horizons

Julien Colomb and Keisuke Sehara

• dealing with gin

Jumping Rivers

• Visualisation with Python

Jürgen Gruber

• Data Science für Klein- und Mittelbetriebe

Jürgen Wilbert

• Analyzing single-case data with R and scan

karepin13

• 3 Dashboard for students | LASI 2019 - Visualization meets Learning Analytics

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 Probability and Simulation

Kieran Healy

• Data Visualization

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

• mixOmics vignette

Kirthana S

• Statistics Cookbook

Ko Chiu Yu

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

Kostas Gemenis & Bastiaan Bruinsma

• Automated Content Analysis

Kristin Hunter-Thomson and Jacoby Baker

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

KU Leuven Marketing department

• R for marketing students

Laura Moria

• Referentiekaarten
• Ecologische sleutelfactoren in beeld
• Waterkwaliteit in beeld

lauramoria

• Ecologische waterkwaliteit Botshol

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

Leo Van | 范叶亮

• TensorFlow 学习笔记

Liam

• Cod Prediction

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

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

M. Edward (Ed) Borasky

• Mastering DFS Analytics

M. Rolland

• Sepages data pre-processing guide

Malte Grosser

• Tidyverse Cookbook

Malte Grosser, Henning Bumann & Hadley Wickham

• Advanced R Solutions

Manuel Aragonés, Thalía Guerra, Roberto Sánchez and Mónica Zamudio

• Detecting collusion in goverment procurement contracts

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

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
• Monte Carlo Simulation Examples

Mark Niemann-Ross

• Stupid Machine

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

markbneal

• economic-survey.utf8

Marrow , Heartseeker-US

• Marrow’s Compendium of Dragonslaying

Marta Sestelo

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

Martin Monkman

• Data Science with R: A Resource Compendium

Martin Montane

• Ciencia de datos para curiosos

Martin Pischtschan

• Skript zum MAS Modul Servotechnik

Martin Schmettow

• New statistics for the design researcher

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

Mau-Ting Lin

• Macroeconomics
• Economic Forum
• Data visualization

Max Kuhn and Kjell Johnson

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

Maxine

• R for data science: tidyverse and beyond

Melissa K Sharp

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

Methodology

• Applications of Machine Learning in Imputation

mgwkshiny

• Modelltheoretische Grundlagen wirtschaftspolitischer Kontroversen

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 M. Marchman

• Variability and Consistency in Early Language Learning

Michael Clark

• Data Processing & Visualization
• Introduction to R Markdown
• Machine Learning
• Generalized Additive Models
• Mixed Models in R
• Bayesian Basics

Michael Clark m-clark.github.io

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

Michael Foley

• My Data Science Notes

Michael Freeman and Joel Ross

• Technical Foundations of Informatics

Michael Mahoney

• Introduction to Data Exploration and Analysis with R

Mike X.

• Applet Codebook: NIMH EMA for Mindlogger v0.27
• Applet Codebook: HBN EMA for Mindlogger v0.25

Mohammad Rosidi

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

mwheymans

• Book_MI.utf8.md

Naomi J. Goodrich-Hunsaker, Ph.D.

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

Nathaniel D. Phillips

• YaRrr! The Pirate’s Guide to R

Nicholas Occhipinti, Karyn Cook, Ziyin Liu

• DSBA-5122 Final Project

Nicholas Tierney

• RMarkdown for Scientists

Nico Hahn

• 2 Datenherkunft | Making maps with R

Nicolas Roelandt

• R for Geospatial Processing

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, 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

Paul C. Bauer

• Applied Causal Analysis (with R)
• Big data and Social Science

Paul C. Bauer & Richard Traunmüller

• Interactive Data Visualization (2nd Day)

Paul C. Bauer, Rudolf Farys

• R for Social Scientists

Paul Langard

• Seeing through the developping lens:

Paul Taconet

• Modélisation de la transmission du paludisme à échelle micro-géographique

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

• Solutions for ‘Introdcution 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 Esaiasson, Sveinung Arnesen, and Hannah Werner

• The Good Loser

Peter K. Dunn

• Scientific Research Methods: Tutorials

Peter Olejua

• Notas sobre Estimación Puntual

Peyman Kor

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

PoMingChen

• Minimal-Git-demo

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

• Readings in applied data science

R.Lappan

• 16S rRNA analysis

Rafael A. Irizarry

• Introduction to Data Science

Raghvendra Jain

• Dengue Forecasting Project

Randy Ridenour

• Pursuing Truth: A Guide to Critical Thinking

Ray Hoobler

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

Research Programming, The Urban Institute

• Spark Social Science Manual

Riccardo Esclapon

• Crypto Research Paper Tutorial Outline
• A Minimal Book Example

Ricky Esclapon - riccardo.esclapon@colorado.edu

• Predict Crypto Database Quick Start Guide

Rob Carroll

• Probability and Statistics

Rob J Hyndman and George Athanasopoulos

• Forecasting: Principles and Practice

Rob Kabacoff

• Data Visualization with R

Robert B. Gramacy

• Surrogates

Robert Barcik

• Authentic Data Science

Robert Batzinger

• e-Business

Robin and Katy

• From Madrid to Santiago de Compostela, 2019

Robin Lovelace, Jakub Nowosad, Jannes Muenchow

• Geocomputation with R

Roger D. Peng

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

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: Brooke Anderson, Scott Chamberlain, Anna Krystalli, Lincoln Mullen, Karthik Ram, Noam Ross, Maëlle Salmon, Melina Vidoni

• rOpenSci Packages: Development, Maintenance, and Peer Review

Rosemary_Hartman

• IEP Seasonal Monitoring Report: Spring 2018 | Secchi Depth

Ruohui(Matt) Chen, Gabriel Carrasco

• FMPH 291 - Phase 1

Salfo Bikienga

• Econ 215 Notes

Sam Castillo

• Predictive Analytics for Actuaries

Scott Ming

• Notes and Codes while Learning R

Sean Conner

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

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