List of books by authors

• Lean Seis Sigma
• Survey Guide: The Challenge from Terrorism in the Nordic Countries
• 1 Introdução | VisaoGeral.utf8
• Orchestrating Single-Cell Analysis with Bioconductor
• bookdown-demo.utf8
• Statistical Thinking for the 21st Century | statsthinking21

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

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

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

Adrian Dușa

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

Aep Hidayatuloh

• 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 Tutorial

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 environment-wide assciation study (EWAS) of chronic disease mortality in the UK Biobank, Submitted for the confirmation of DPhil status, University of Oxford

• 5 Correlation analysis | An ecological life course perspective on biological aging and chronic disease-related mortality

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

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

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

Anthony Clairmont, Daniel Katz, Mike Wilton

• Measuring what Matters: Introduction to Rasch Analysis in R

Anthony Schmidt

• Causal Inference in Education

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

Authors: The RIPLRT

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

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

• Notas de Microeconometría Aplicada

Autor: Mg. Daniel Paredes Inilupu

• Data Science con R

Axel-Cleris Gailloty

• Overview of suicide in the world

B. Depaire

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

Bakti Siregar S.Si, M.Sc

• Data Science for Beginners Part 1

Bakti Siregar, S.Si., M.Sc

• Matematika Bisnis

Beckett Stephens

• The Final War

Ben Gonzalez

• PostgreSQL Explained for R-Users and R-Programmers

Berry Boessenkool, berry-b@gmx.de

• 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

• 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 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

Bryan Fernandez Camacho

• Anemia en madres

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

chen

• Applied Social Network Analysis in Education

Cheng Hua & Dr. Stefanie Wind

• Companion to BER 670: Rasch Techniques for Constructing and Evaluating Measurement Instruments

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

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

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

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

Claire Della Vedova pour Data Value

• Formation 2: Module Intermediaire
• Formation 1: Module Initiation

Claus O. Wilke

• Fundamentals of Data Visualization

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

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

Daisaku Ikeda

• Đức Phật Trong Ba lô

Daniel Instebø og Sveinung Arnesen

• DEMOVATE Survey 2020

Daniel J Carter

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

Daniel Sirlupu

• Apuntes de un estudiante de Estadistica (Perú) en el año 2020

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

• 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 Yeung

• Engaging Multiple Personalities

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

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. 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

• 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

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

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

Enrique Garcia Ceja

• Behavior Analysis with Machine Learning and R

Eric van Holm, PhD

• Introduction to Research Methods

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

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

• 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

Gabriel Butler UCLA Global Classroom

• ECON 41 Labs

Gabriel Carrasco

• RSCD - JR
• 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

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

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

Goran Kardum

• Literatura

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

• The Tidynomicon

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

Hans van der Zwan

• Data Analytics

Hansjörg Neth

• Data Science for Psychologists

Hayun Bae

• Homework 1

Heejun Lee

• R Basics

Henrik Eckermann

• DondeRs Group

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)

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

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 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

Javier Luraschi, Kevin Kuo, Edgar Ruiz

• Mastering Spark with R

Jeanette Mumford

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

Jeff Lin

• R 資料科學與統計

Jeff Webb

• Course Notes for IS 6489, Statistics and Predictive Analytics

Jeffrey B. Arnold

• R for Data Science: Exercise Solutions

Jena University Hospital, Institute of Medical Statistics, Computer and Data Sciences, Julia Gantner

• Introduction to R: Exercises
• Introduction to R

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

Jim Grange

• Grange-Lab Manual

Jimmy Xu

• An Outline of the Overall Course Structure for MKTG4000

Jizhou Kang

• 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

• 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

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 & 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

Juan Ramos Hernández, Grado en Administración y dirección de Empresas

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

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

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

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

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

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

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

• Fundamentos de Investigación II

M. Rolland

• Sepages data pre-processing guide

Malte Grosser

• Tidyverse Cookbook

Malte Grosser, Henning Bumann & Hadley Wickham

• Advanced R Solutions

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