List of books by authors

• STM1001: Introduction to Machine Learning in R
• STM1001: Foundational Biology for Analyses of Biological Data
• STM1001: Data Visualisation in R
• Statistical Thinking: A Simulation Approach to Modeling Uncertainty (UM STAT 216 edition)
• STM1001: Introduction to Bioinformatics in R
• Processen
• Advanced Statistics I 2021 Edition
• Processo de Produção do Formaldeído
• Statistical Thinking: A Simulation Approach to Modeling Uncertainty (UM STAT 216 edition)
• DEMOVATE
• Survey Guide: The Challenge from Terrorism in the Nordic Countries
• A Statistical Analysis of Inherited Blindness: Physiological and Genetic Assays
• 1 Introdução
• rOpenSci Statistical Software Peer Review
• statsthinking21

॥ 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”

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

• R Markdown クックブック

@kazutan

• ggplot2逆引き集

© Asser Koskinen, Johan Båge and Håkan Lyckeborg

• _main.knit

08/31/2021 v1.0.1

• FDA 503B Product Report

192EEG04 Jung Eun Ju

• R Homework 1

2035021 Choi Inyoung/최인영

• R @ Ewha (Sunbok Lee)- Choi Inyoung
• Quiz

805

• 环境黑板报

A Solomon Kurz

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

A. Verri, L. Linzer, J. Mussat and W. Harrison. SRK Consulting

• Seismic Hazard Assessment - Simandou Mine Site

A. Verri, L. Linzer, J. Mussat, D. Levis and W. Harrison. SRK Consulting

• Seismic Hazard Assessment for the Gruyere TSF

Aaron Coyner and Ted Laderas

• Ready for R: Notebook Reference

Abdoul Oudouss Diakite

• R pour l’économétrie

Abdoul Oudouss Diakite, Othmane ETTADLAOUI

• Annalyse de données

Abdoul Oudouss DIAKITE, Othmane ETTADLAOUI

• La tarification a priori

Academia Científica

• Documentação da Academia Científica: Um guia para transformação, modelagem e formatação de dados
• Documentação da AC: Um guia para transformação, formatação e modelagem de dados

Ace Mark Acebedo

• Knowing the KPI Trend Without Seeing the Chart

Acx Dep. EC

• Manual for Databank

Adam Aiken

• Elon R Data Camp
• FIN 473. Advanced Investments

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

• A Quick Introduction to bbsBayes

Adam Sadowski

• How to Be an Rtist: A Beginner’s Guide to Writing Beautiful, Intentional R Code

Adley Dityo Valentinus Putra (G14180009), Muhammad Ammar Sahab (G14190020), Putri Eka Perdanti (G14190027), Farhan Narendra Achyara (G14190050), Grashella Clara Nesa Br Ginting (G14190086)

• Perbandingan Smoothing, ARIMA, dan ARIMAX untuk prediksi harga minyak mentah

Adrian Dușa

• QCA with R

ael

• Exploration de données avec R

Aep Hidayatuloh

• Pengantar Pemrograman R dan RStudio
• Statistika dan Sains Data untuk Bisnis
• Buku Visualisasi Data yang Efektif

Aidan Toner-Rodgers

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

Aimer G. Díaz, Víctor P. Avellaneda, Juan Corao, Roberto Nájera y Natalia A. Chaparro

• BioVirología

Akbar Rizki, Abdul Aziz Nurussadad

• Analisis Data Kategorik dengan R

Alberto Brunete, Pablo San Segundo y Rebeca Herrero

• Introducción a la Automatización Industrial

alecristia

• Long-form recordings: From A to Z

Alejandro Quintela del Rio

• Estadística Básica Edulcorada

Aleksander Dietrichson, PhD

• Métodos Cuantitativos

Alex Hallam

• Simulation And The James-Stein Estimator In R

Alex Joel Marco

• Proyecto Final: Hotel Cancelation

Alex Mesoudi

• Simulation Models of Cultural Evolution in R

Alex O. Holcombe

• Attention

Alexandre Jaloto

• Teste de progresso

Aleya Khalifa and Gloria HJ Graf

• A Practical Guide to Sensitivity Analysis for Causal Effects in the Presence of Non-Ignorable Loss to Follow-Up

Alfonso Meléndez

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

Alfonso R. Reyes

• A Minimal rTorch Book

Alfredo Hernandez Sanchez, PhD

• Data Visualization for International Relations

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

• Research Guide
• Political Economy of Development

Alton Russell and lab members

• Decision Modeling Lab Manual

Altuna Akalin

• Computational Genomics with R

Alysha M De Livera and Agus Salim

• An introduction to using RUV-III-NB: Removing unwanted variation in single cell RNA-seq data

Amanda Shaker

• STM1001 Topic 10: Chi-squared Tests for Categorical Data
• STM1001 Topic 9: Hypothesis Testing for One and Two Sample Proportions
• STM1001 Topic 8: Correlation and Simple Linear Regression
• STM1001 Topic 7: One-way ANOVA
• STM1001 Topic 5: Hypothesis Testing
• STM1001 Topic 4: Sampling Distributions
• STM1001 Topic 2 - Descriptive Statistics
• STM1001 Topic 3: Probability and Distributions
• STM1001 Topic 1: Introduction to statistics and presenting data
• STM1001 Topic 6: t-tests for two-sample hypothesis testing
• STM1001 Topic 11: Statistical Power and Sample Size Calculation

Amelia McNamara

• Statistical Learning Inmas workshop

Amr Farahat

• Lecture Notes in Business Analytics

Amr Farahat and Rama Ramakrishnan

• FairBank

Amy L Johnson

• R Training for SSDS

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

• Predictive Models of English Premier League Goal Scoring

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

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

Anastasia Ushakova and Emma Waterston

• PPLS PhD Training Workshop: Statistics and R

Anastasia Ushakova and Milan Valasek

• PhD Training Workshop: Statistics in R

Anderson dos Santos

• Caderno de exercícos Mestrado de computação aplicada
• Caderno BD

André Calero Valdez

• Computational Communication Science mit R

Andrea Bellavia

• Statistical Methods for Environmental Mixtures

Andrés Ramírez-Hassan

• Introduction to Bayesian Econometrics

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 J. Rominger

• Theory in ecology and evolution with applications for a changing world

Andrew Kniss & Jens Streibig

• Statistical Analysis of Agricultural Experiments using R

Andrew Sage - Stat 255, Lawrence University

• Statistics for Data Science R Code Guide
• Statistics for Data Science R Code Guide

Andrew Sage - Stat 255: Lawrence University

• Statistics for Data Science Notes

Andrew Tamalunas

• Analyzing and visualizing fiber photometry data with fluoR

Andy MacLachlan and Adam Dennett

• CASA0005 Geographic Information Systems and Science

Ann Garbett

• Indigenous Languages of Latin America
• New Adolescent Fertility Measures for the Long-term Perspective

Anne-Cécile Mermet

• Behind changing windows: understanding shop changes in Miðborg

Anshul Kumar

• Responsible applied statistics in R for behavioral and health data (working title)
• Introductory predictive analytics and machine learning in education and healthcare
• Research methods introduction for genetic counseling students (Fall 2021)
• MGHIHP HE-802, Spring 2021

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 Nahmias

• Normas Eleitorais 2022

Armando Teixeira-Pinto

• Machine Learning for Biostatistics
• Resampling method

Armando Teixeira-Pinto & Jaroslaw Harezlak

• Machine Learning for Biostatistics

Arredondo Sánchez Andrea Elizabeth, Vargas Mendoza Ana Luisa

• Bookdown

Arthur Small

• Data-driven publishing: Reproducible research with R, Quarto, and Github
• Time Series and Forecasting: A Project-based Approach with R

Arthur Small, Principal Scientist

• Data Science Boot Camp

Arturo Chian

• The Art of Finance: Theory, Practice & Fiction

Asser Koskinen

• R Guide

Associação Brasileira de Jurimetria

• ABJ Syllabus

asun_mayoral

• Lean Seis Sigma para la Mejora de Procesos
• Inicio

Atila Orlov (Tlachinolli)

• Visualización de datos y dashboarding en R

Austria

• Growth in times of Coronavirus

Austrian Economic Committee

• Austrian Long Term Growth Report

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

• Comprehensive Exam Study Guide

authored by the Industrial and Organizational Program faculty

• MSU PhD Roles and Policy Manual

Authors: The RIPLRT

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

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

• Notas de Microeconometría Aplicada

Autor: Mg. Daniel Paredes Inilupu

• Data Science con R

Auyon Siddiq

• MGMTFT 402 - Data and Decisions

Axel-Cleris Gailloty

• Overview of suicide in the world

Azman Hussin and Wan M Hasni

• Painting the Malaysian Covid Public Data

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

• Matematika Bisnis

Based on Chapters 2 and 4 of ''Scientific Research and Methodology'' by Peter K. Dunn (Dunn 2021)

• STM1001 Topic 2B (Science and Health)

Based on Chapters 3, 5, and 6 of ''Scientific Research and Methodology'' by Peter K. Dunn (Dunn 2021)

• STM1001 Topic 3B (Science and Health)

Based on Chapters 7-10 of ''Scientific Research and Methodology'' by Peter K. Dunn (Dunn 2021)

• STM1001 Topic 4B (Science and Health)

Beckett Stephens

• The Final War

Ben Gonzalez

• PostgreSQL Explained for R-Users and R-Programmers

Ben Prytherch

• DSCI 335: Inferential Reasoning in Data Analysis

Benjamin Meyer

• Landscape characteristics influence projected growth rates of stream-resident juvenile salmon in the face of climate change in the Kenai River watershed, southcentral Alaska

Benjamin Meyer (ben@kenaiwatershed.org)

• Kenai River Thermal Imagery
• Miller Creek and Vogel Lake Water Quality

Benjamin Meyer, Kenai Watershed Forum

• Expanding and Corroborating the Known Extent of Anadromous Waters in the Kenai Peninsula Throughout the Kenai Peninsula
• Kenai Peninsula Chapter of Trout Unlimited Embrace-a-Stream Project: Expanding and Corroborating the Known Extent of Anadromous Waters Throughout the Kenai Peninsula

Benjamin Meyer, Kenai Watershed Forum (ben@kenaiwatershed.org)

• Kenai Peninsula Chapter of Trout Unlimited Embrace-a-Stream Project: Expanding Knowledge of Fish Habitat in Alaska’s Kenai Peninsula

Benjamin T. Martin

• Untitled

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

Biodive FFI`s IP

• Draft Panduan Survei Keanekaragaman Hayati

birderboone

• Matts Baking Cook Book

Blake Reynolds

• PS 811 Website

Błażej Kochański

• Statystyka 2 - skrypt
• Modele rynku kapitałowego
• Statistics 1 - exercises

Bob Dagg

• ORCA Transitional Facility Manual V4

Bob Rudis

• Writing Frictionless R Package Wrappers

bob_rietveld1

• Mollie Assignment

Bodong Chen

• Novel Approaches and Analytics
• CI 5371: Learning Analytics

BOUSSENGUI François - SABAYE Fried-Junior - BARRE Nicolas

• Moindres Carrés Ordinaires et alternatives

Boyan Kostadinov, City Tech

• MAT 4880 Mathematical Modeling II

Boyoung Kim(202AIE06)

• 교육용 프로그래밍의 이해

Brad Collette 著，曲政 译

• 请 Inventor 用 FreeCAD

Bradley Boehmke & Brandon Greenwell

• Hands-On Machine Learning with R

Brandt Green

• Fun With Brandt

Brendan Casey

• River Valley Connectivity Project

Brendan R. E. Ansell @ansellbr3

• Introduction to R - tidyverse

Bret Larget

• Statistics 240 Course Notes

Brian Fischer

• DATA 3320 Data Science Methodology and Applications

Brian Holt

• Abnormal Psychology, Fall 2020

Brian Krauth

• Introductory Statistics for Economics

Brian Machut, Nathan Cornwell

• Data Analytics with R

Brian Nguyen

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

Brian O’Meara

• Comparative Methods

Brian Wood

• Quantitative Analysis with R

Brooke Anderson

• Data Visualization in R

Bruce Cochrane

• Cooking After Retirement

Bruna Wundervald

• Mixed BART Models: maths and discussion

Brunero Liseo, Sapienza Università di Roma

• Esercizi per il corso di Statistica di Base

Bruno Lucian & Claudia Jakelline

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

Bruno Rodrigues

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

Bryan Shalloway

• Yet another ‘R for Data Science’ study guide

Brynjólfur Gauti Jónsson

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

Bsmsimul

• Report BSM

Burak AYDIN, James ALGINA, Walter LEITE, Hakan ATILGAN

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

by J Rafael Verudzco Torres and Mark Wong

• UG Quantitative Methods in the Social Sciences lab workbook

By Seda Erdem | University of Stirling

• Statistics with R - Practical Sessions

By the Student Outreach Committee of MaSA UIUC

• A Pre-Arrival Guide For Incoming & Prospective Students

CAHP Team

• SGU Communications Success
• SakaiDocs

Cainã, Martins, Jaloto e Dinardi

• R para Psicólogos

Calderon, S., Zuñiga, L., Reyes, C., Bedoya, F.

• Compilación de productos de datos

Caleb J. Grohmann

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

Callum Arnold

• A Guide to Reproducible Research

Camilo José Torres Jiménez

• 1000013-B Probabilidad y Estadística Fundamental
• 2016374 Programación en Lenguajes Estadísticos

Canadice

• Franchise Hockey Manager 6 Saves in R

Carson Sievert

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

cda

• Kinesiska

CE-Hub Working Paper

• Policy Taxonomy Paper

Cédric Vuignier and Gaëtan Lovey

• Project in Data Analytics for Decision Making

CERPOP, INSERM, EQUITY Team

• Interactions et modification d’effet en Epidémiologie
• Médiation A very Quickstart

Cesar Nillaga, Milo Weller, Sophie Moore

• _main.knit

Chaeeun Song

• Review and Homework for Programming for Educational Research

Charles Coverdale

• R cookbook for the casual dabbler

Charles Dolladille

• Myocarditis Redcap wiki

Charles T. Makowski, PharmD

• Pharmacy Primer for T-SQL Database Interrogation

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

• Proyecto Final: Suicidios en México y EU

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

Chia-Ching Wu

• Data Analysis
• Quick R for Statistics

Chiayi Yen

• Data Visualization Project

Chih-Chung Ting

• 2022 Introduction to Cognitive Modeling
• 2021 Introduction to Cognitive Modeling

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 Brunsdon and Lex Comber

• Code for An Introduction to Spatial Analysis and Mapping in R 2nd edition

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

Christine Griffith

• Work Portfolio

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

• Introduction to Econometrics with R

Christoph Molnar

• Interpretable Machine Learning

Christoph Scheuch (wikifolio Financial Technologies) and Stefan Voigt (University of Copenhagen and Danish Finance Institute) and Patrick Weiss (Reykjavik University and Vienna University of Economics and Business)

• Tidy Finance with R

Christoph Scheuch, wikifolio Financial Technologies, Stefan Voigt, University of Copenhagen and Danish Finance Institute, Patrick Weiss, Vienna University of Economics and Business

• Exercises for Advanced Empirical Finance: Topics and Data Science

Christopher Barrie

• MMES Quantitative Research Methods Oxford 2021

Christopher Beirne, the Wildlife Coexistence Lab, UBC, and the WildCam Network

• An Introduction to Camera Trap Data Management and Analysis in R

Chunji Wang

• Selected Solutions to R4DS Exercises

cjlortie

• Biology for environmental management pocketguide
• Experimental design
• Designcraft for experiments
• A primer for biostatistics in R
• Tools for human-screen interactions
• Nature hacks for life
• quantitative_synthesis_tools.knit

Clare Atkinson & Eric Hertz

• Steelhead Conservation Unit Snapshots

Claus O. Wilke

• Fundamentals of Data Visualization

Clayton Engelby

• ECO 397 Book Review

Clement Lefevre

• Uber Movement dataset : playing with spatial data

Colin Fay, Sébastien Rochette, Vincent Guyader, Cervan Girard

• Engineering Production-Grade Shiny Apps

Colin Gillespie, Robin Lovelace

• Efficient R programming

Colin Quirk

• Let’s Explore Statistics

Colin Robertson

• GESC-258 Schedule

Commercial Fishermen of Santa Barbara

• Economic Impact Report

Conor I. Anderson and Karen L. Smith

• Climate Change Impact Assessment: A practical walk-through

Constantin Colonescu

• Principles of Econometrics with R

content

• Modelos Estadísticos
• Simulación de Procesos y Sistemas
• Introduction to Statistics with R

Corey Pembleton

• R for Surveys in Evaluation

cristianbonavida

• Presentación

Cristóbal Moya

• Inferential Statistics and Complex Surveys

curleyjp0

• James' R Blog: NFL Scorelines

Current editors:Paul C. Bauer, Camille Landesvatter, Lion BehrensAuthors & contributors:Paul C. Bauer, Jan Behnert, Lion Behrens, Chung-hong Chan, Bernhard Clemm von Hohenberg, Lukas Isermann, Philipp Kadel, Melike N. Kaplan, Jana Klein, Markus Konrad, Barbara K. Kreis, Dean Lajic, Camille Landesvatter, Madleen Meier-Barthold, Grace Olzinski, Nina Osenbrügge, Ondrej Pekacek, Pirmin Stöckle, Malte Söhren, Domantas Undzėnas

• 2021_apis_for_social_scientists_a_collaborative_review.knit

Daisaku Ikeda

• Đức Phật Trong Ba lô

Daniel Becker

• Klassifikation von Citi Bike-Kunden

Daniel Cavey

• MATH1006 Calculus

Daniel Dauber

• R for Non-Programmers: A Guide for Social Scientists

Daniel Instebø og Sveinung Arnesen

• DEMOVATE Survey 2020

Daniel J Carter

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

Daniel Katz, Anthony Clairmont, Mike Wilton

• Measuring what Matters: Introduction to Rasch Analysis in R

Daniel P. Hall Riggins

• SIDS-Related Deaths in Cook County, IL

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

• Bodega de datos
• Bioestadística
• Aprendizaje automático de datos Colombianos (Machine Learning)

Danyal Khan, MRN Research Officer

• The Representation of Muslims in Higher Education

Darrin Speegle

• Foundations of Statistics with R

DataGood.id

• Pengantar R

Davi Moreira

• Text as Data para Ciências Sociais

David C Carslaw

• openair book

David Dalpiaz

• R for Statistical Learning

David Gohel

• officeverse

David Gosser Jr.

• R for Quantitative Chemistry

David Granjon

• Outstanding User Interfaces with Shiny

David Hume

• Dialogues Concerning Natural Religion

David John Baker

• MODELING MELODIC DICTATION

David Josephs

• Time Series Midterm Review

David Keyes // R for the Rest of Us

• How I Use R

David Klotz

• The Temple of Esna. An Evolving Translation: Esna IV
• The Temple of Esna. An Evolving Translation: Esna III
• The Temple of Esna. An Evolving Translation: Esna II

David Randahl

• The R Researcher’s companion v. 0.01

David Studholme

• SWBio Bioinformatics course task book

David Yeung

• Engaging Multiple Personalities

David Zhang, Regina Reynolds

• Ryten lab induction book

DCR Infosel

• Catálogo de datos

Deanna Li

• Basic R Guide for NSC Statistics

Dena J. Clink

• BIONB 2210 Summer 2021 Computer Labs
• behaviouR: R package and tutorials for teaching of fundamental concepts in behavior and ecology
• BioNBB 2210 Summer 2020 Computer Labs

Dena J. Clink, Isabel A. Comella & Maryam Zafar

• Fundamentals of bioacoustics using smartphones and R

Department of Mathematics

• 20IMCAL204 STATISTICS LAB- Laboratory Manual

Department of Psychology, University of Edinburgh

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

Derek Corcoran

• Manipulación de datos e investigación reproducible en R

Derek L. Sonderegger

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

Derek L. Sonderegger & Robert Buscaglia

• Introduction to Statistical Methodology, Second Edition

Diana García Cortés

• Curso: R para análisis de datos

Didzis Elferts

• Praktiskā biometrija

DJ Navarro

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

Dmitry Gorodnichy

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

Donnie Day

• Advanced Environmental Data Management

Dr. Andrew P. Lapointe

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

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

• 🃏 Probability I
• 🃏 Probability I

Dr. Hailiang Du

• Machine Learning and Neural Networks

Dr. Héctor Murillo

• Medicina de Estilo de Vida

Dr. Josephine Anthony

• Education among Children of the Migrant Workers

Dr. Lauren Cappiello

• Introduction to Statistics

Dr. Paul C. Bauer (University of Mannheim)

• Programming and Applied Data Visualization with R

Dr. Philip Gladwin

• Exploring primary care health in Bristol, North Somerset, and South Gloucestershire

Dr. Pratheesh P. Gopinath

• LECTURE NOTES OF STAT 3202

Dr. S. Jackson

• Advanced Statistical Modelling
• Machine Learning

Dr. Taleed El-Sabawi

• Property Class Spring 2020

Dr. Zachary Pilot

• Who R You?

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 Dijk

• Methods in (Skene & Kenward, 2010)

Dylan Z. Childs

• APS 135: Introduction to Exploratory Data Analysis with R

E.Major Taiwan

• UI-UX

Eagle I-O

• MSU I-O Student Mentorship Program User Manual

Eagle I.O

• Eagle I.O Consultant Manual
• Engagement Survey Technical Report
• 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

Eder M Barbosa - Matricula 42990 - Turma T04

• Disciplina - BiG Data & Analytics

Eder Mauricio Barbosa

• Disciplina BIG019 - BiG Data & Analytics

Editor: Helene Wagner (University of Toronto)

• Landscape Genetic Data Analysis with R

Editor: Sam Tyner, Ph.D.

• Open Forensic Science in R

Editor: Samuel Videholm

• Pediatrik - en studieguide för ST-läkare

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

Edward J. Xu

• MatrixOptim
• TidySimStat

Edward Stanhope

• Reviewing Scientific Literature Seminar Workbook

Edwin Thoen

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

Edzer Pebesma, Roger Bivand

• Spatial Data Science

Einav Grinberg

• Technical Guide for Estimating Building Rooftop Solar Potential in a City

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

• ISLR tidymodels labs

Emil Hvitfeldt and Julia Silge

• Supervised Machine Learning for Text Analysis in R

Emilie Dedeban

• Making maps for conservation - GIF and interactive maps

Emine Fidan

• Guide to Creating Interactive Maps in R

Enrique Garcia Ceja

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• Variability and Consistency in Early Language Learning

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Michael Clark

• Practical Data Science
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• Clustered Data
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• Supervised Machine Learning
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• Technical Foundations of Informatics

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• An Introduction to Web Analytics

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• Introduction to Data Exploration and Analysis with R

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• TIES Measurement Report Automation Project

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• Statistica Applicata per la Finanza - 2022/23
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• Applet Codebook: NIMH KSADS v0.28
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