List of books by authors

• Statistical Thinking: A Simulation Approach to Modeling Uncertainty (UM STAT 216 edition)
• DEMOVATE
• A Statistical Analysis of Inherited Blindness: Physiological and Genetic Assays
• Survey Guide: The Challenge from Terrorism in the Nordic Countries
• 1 Introdução | VisaoGeral.utf8
• bookdown-demo.utf8
• Statistical Thinking for the 21st Century | statsthinking21

192EEG04 Jung Eun Ju

• R Homework 1

202AIE15 설시내

• Chapter 4 Applications | 교육용 프로그램의 이해(1) : HW1

805

• 环境黑板报

@kazutan

• ggplot2逆引き集

A Solomon Kurz

• 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
• Applied Longitudinal 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 \(\textsf{R}\) | QCA with \textsf{R}

Aep Hidayatuloh

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

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

Alessio Crippa

• Novel methods for dose–response meta-analysis

Alex Hallam

• Simulation And The James-Stein Estimator In R

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

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

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

Andrés Gutiérrez

• Muestreo y análisis de estudios educacionales con R

Andrés Mañas Mañas

• Capítulo 2 Agradecimientos | Notas sobre pronóstico del flujo de tráfico en la ciudad de Madrid

Andy MacLachlan and Adam Dennett

• CASA0005 Geographic Information Systems and Science

Anouar El Ghouch

• Exploration de données avec R

Anshul Kumar

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

Anthony Clairmont, Daniel Katz, Mike Wilton

• Measuring what Matters: Introduction to Rasch Analysis in R

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

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

Ben Prytherch

• DSCI 335: Inferential Reasoning in Data Analysis

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

• Applied Network Analysis for Learning
• CI 5371: Learning Analytics

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 Fernandez Camacho

• Anemia en madres

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

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

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

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
• Basic Social Justice Orientations scale testing

Cédric Vuignier and Gaëtan Lovey

• Project in Data Analytics for Decision Making

Daisaku Ikeda

• Đức Phật Trong Ba lô

Daniel Becker

• Chapter 3 Create and load data sets | Introduction to R

Daniel Instebø og Sveinung Arnesen

• DEMOVATE Survey 2020

Daniel J Carter

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

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

• Text as Data para Ciências Sociais

David C. Carslaw

• The openair book

David Dalpiaz

• R for Statistical Learning

David Granjon

• Welcome | 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 Studholme

• University of Exeter: BIO2092

David Yeung

• Engaging Multiple Personalities

David Zhang, Regina Reynolds

• Ryten lab induction book

Daxue Consulting

• Brief introduction to Statistic

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
• Statistical Methods II
• STA 444/5 - Introductory Data Science using R

Derek L. Sonderegger & Robert Buscaglia

• Introduction to Statistical Methodology, Second Edition

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»

Donnie Day

• Advanced Environmental Data Management

Dr. Andrew P. Lapointe

• Data Science In RStudio

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. Nyssa Silbiger and Danielle Barnas

• 10 Apex Fusion | Silbiger Lab Mesocosm User Manual
• 10 Apex Fusion | Mesocosm User Manual

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

E.Major Taiwan

• UI-UX

Eagle I-O

• MSU I-O Student Mentorship Program User Manual

Eagle I.O

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

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 and 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

evraloui

• LBIRA2110 Modelisation et exploration des donnees multivariees | LBIRA2110 Modelisation et exploration des donnees multivariees

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

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
• 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

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

From The Void

• Season 3 Stlats EDA

G.L.

• Mathematical methods for Economic analysis

Gabriel Butler UCLA Global Classroom

• ECON 41 Labs

Gabriel Carrasco

• EMMERG Spatial
• RSCD - JR
• 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

Gabriela Costa, Laura Kubtischek, Maria Luisa Gomes, Matheus Gonzaga, Vitor Batista

• Introdução ao R para alunos de ciências exatas

Ganesh Viswanathan and Roma Dutta

• Grand Slam Heroes

Garrett Grolemund

• Hands-On Programming with R

Garrett Grolemund, Hadley Wickham

• R for Data Science
• R for Data Science

Gary Napier

• Time Series
• Introduction to R

Gaston Sanchez with contributions from Chitra Venkatesh

• 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

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

Giulia Regazzoni, Marco Ramljak, Stefania Scrofani, Tony Hung

• Mobile Network Operator Data for Spatial Statistics - Eurostat Coding Labs 2020

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

Granát Marcell

• A születési mutatók alakulása és az azt kísérő változások Magyarországon

Greg Wilson

• R for Data Engineers

Grupo SAE - USTA

• Estimacdiión en dominios pequeños

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

• P2 - Simulering af Data

Guangchuang Yu, PhD

• Data Integration, Manipulation and Visualization of Phylogenetic Trees

gubiithefish

• R-Notebook

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

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

Hayun Bae

• Homework 1

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

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

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.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 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

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

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

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

• The Hitchhiker’s Guide to the tlverse

Jeremy Levesley

• Chapter 4 Applications | Calculus and Analysis
• MA1014: Calculus and Analysis

Jeroen Janssens

• Data Science at the Command Line, 1e

Jerome Levesque and David Maybury

• A policy tool for COVID-19 workplace mitigation strategies

Jesper Wittrup

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

Jess L

• All About Rachel

Jess Li

• Quarantine Notebook

JHvdZ

• Bijbelstudie

Jian SHEN

• Portfolio Construction

Jim Grange

• Grange-Lab Manual

Jimmy Xu

• Marketing Research - MKTG4000

Jizhou Kang

• STAT 243: Stochastic Process
• STAT 7: Discussion Section Materials

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

Jolene Quek

• Comparing Social Dynamics of a Rental and Purchased Block

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

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.

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

• 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

Jürgen Gruber

• Data Science für Klein- und Mittelbetriebe

Jürgen Wilbert

• Analyzing single-case data with R and scan

Kamarul Imran, Wan Nor Arifin

• Chapter 2 Data Visualization | Data Visualization, Exploration and Regression Analysis

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 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

Kristin Hunter-Thomson and Jacoby Baker

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

KU Leuven Marketing department

• R for marketing students

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: Fall 2020
• Stat 344 Notes: Fall 2020

lcrfromfzu@qq.com

• 统计学习方法 – 基于R的算法实现

Leah Kemp, Primary Supervisor: Peter Ritchie, Victoria University of Wellington, Secondary Supervisor: Maren Wellenreuther, Plant and Food Research

• Abstract | A first investigation into the evolutionary relationships, population structure and demographic history of New Zealand Trevally (Pseudocaranx georgianus) and its implications for fisheries management

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

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 Eudave

• Capítulo 2 Estimación | Fundamentos de Investigación II
• 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
• Monte Carlo Simulation Examples

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

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
• 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

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

• 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

Michela Cameletti

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

Mike Lyons

• COVID Data Analysis

Mike Nguyen

• 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

Nana Kim

• 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

Nicolás Sacco, José Rodríguez de la Fuente, Sofia Jaime

• Taller de Análisis de la Estructura Social en la Argentina Contemporánea

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)

Patrick Mendes dos Santos

• Eletrônica Geral

Paul C. Bauer

• GESIS Workshop: Applied Data Visualization
• 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 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 Roback and Julie Legler

• Beyond Multiple Linear Regression

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

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

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. Carsten Sauer

• Applied Statistics

Prof. Dr. Ralf Kellner

• Quantitative Methoden für Wirtschaftswissenchaften
• Regression- und Datenanalyse

Professora Alinne Veiga

• PTE-3121 - Planejamento e Análise de Pesquisas Longitudinais

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

Ray Hoobler

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

release

• Orchestrating Single-Cell Analysis with Bioconductor

Research Programming, The Urban Institute

• Spark Social Science Manual

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

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 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, YYY, y de todo el equipo de profesores del curso Razonamiento Cuantitativo de Datos, dictado en la 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

• R Programming for Data Science
• Advanced Statistical Computing
• 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

• IEP Seasonal Monitoring Report: Spring 2018 | Secchi Depth

Rosineide da Paz

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

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

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

• POLI 330 International Organization

Simon Hubbert

• Chapter 4 Arbirtrage Free Derivative Pricing | Mathematics of Financial Derivatives

Siraj Raval, revisited by Kim NOËL

• Make money with machine learning

Slezák Martin

• Untitled

Solveig Bjørkholt

• Webscraping med R

Son Nguyen

• Son Nguyen’s Tenure Application Package

Stanford Data Lab

• Visualization

Statistics Team, PPLS

• Introductory Resources: Statistics and R

Steem 中文社区集体创作

• Steem Handbook

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

Sunbok Lee

• 6 Base R Practice Problems | R @ Ewha 2020
• R @ Ewha 2020

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

taleedsabawi

• HOW TO PROTEST FROM HOME

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 | dissertating_rmd_presentation.utf8.md

Theodore Wiebold

• Multivariate Statistical Analysis using R

Thieu Nguyen

• R Programming Tutorial

This document constitutes both the syllabus and LMS for HUDK4050

• HUDK4050: Core Methods in Educational Data Mining

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

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

Titilayo Ayeni, Shenzhangyin Yang, Niamh French, James Edwards

• Modelling correlation between access to green space and demographic and health variables in London.

Tomislav Hengl and Robert A. MacMillan

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

Tomás J. Aragón

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

Tony Carilli

• R Companion to Real Econometrics

Tormod Bøe

• Writing papers with R and friends

Tormod Bøe Førsteamanuensis

• Dokumentasjon av utdanningsfaglig kompetanse

tpemartin

• 課程介紹 | ntpu-datavisualization.utf8.md
• 課程大綱 | ntpu-data-visualization.utf8.md
• 課程大綱 | ntpu-programming-for-data-science.utf8.md
• 高中生的未來事件簿

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

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

• Physical Processes in Ecosystems | Calculus-Integration

Uğur Dar

• Doğrusal (Lineer) Regresyon
• R Programlama - Başlangıç
• 1 Çubuk Grafiği (Bar Graph) | _main.utf8

Vahid Shahrezaei

• Calculus and Applications - Part II

Valerie Hase, IKMZ, Universität Zürich

• Forschungsseminar: Text as data

VCRIS logo Virginia Department of Historic Resources

• VCRIS User Guide

Victor Cuspinera

• Guía para usar Haver Analytics

Vikram Singh Rawat

• Learn RDataTable

Vinayak Anand-Kumar

• Applications of Machine Learning in Imputation

Vincent Nicod & Raffaello Raffin

• 2 Exploratory Data Analysis | The impact of criminality on Airbnb prices, the case of Los Angeles

vincentsaudanba

• Analysis

Vinicius Moreira

• 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

Wayne de Fremery

• 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

Willem van Niekerk

• Understanding Thermodynamics: Course Notes

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 | MedicalStatisNotes.utf8

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

Yifei Xiong

• Some Notes on Mathematics

Yihui Xie

• bookdown: Authoring Books and Technical Documents with R Markdown
• A Minimal Book Example

Yihui Xie (Daniel Kim translated it into Korean)

• 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

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” | index.split

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

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 林茂廷老師

• 經濟模型程式設計

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
• dplyr 介紹
• Shiny (I)

滴滴统计科学部

• 滴滴实验白皮书v0

熊逸飞

• Some Notes About Math

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

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

谢益辉, 黄湘云, 赵鹏

• 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