List of books by authors

• Statistical Thinking: A Simulation Approach to Modeling Uncertainty (UM STAT 216 edition)
• STM1001: Introduction to Machine Learning in R
• STM1001: Introduction to Bioinformatics in R
• STM1001: Data Visualisation 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
• 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

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

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

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

• La tarification a priori

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

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 \textsf{R}

ael

• Exploration de données avec R

Aep Hidayatuloh

• Pengantar Pemrograman R dan RStudio
• Analisis 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

Alejandro Quintela del Rio

• Estadística Básica Edulcorada

Alejandro Verri - SRK Consulting (Argentina)

• Desmantelamiento Instalaciones Fases 1 a 5

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

Amanda Shaker

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

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 Carolina Costa dos Santos, Daniele dos Santos Lima, Talita Nunes Costa

• Diversidade em sala de aula: por uma educação antirracista

Anastasia Ushakova and Emma Waterston

• PPLS PhD Training Workshop: Statistics and R

Anastasia Ushakova and Milan Valasek

• PhD Training Workshop: Statistics in R

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 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

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

Anne-Cécile Mermet

• Behind changing windows: understanding shop changes in Miðborg

Anshul Kumar

• Introductory Predictive Analytics and Machine Learning in Education and Healthcare
• Responsible applied statistics in R for behavioral and health data (working title)
• 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 Teixeira-Pinto

• Machine Learning for Biostatistics
• Resampling method

Armando Teixeira-Pinto & Jaroslaw Harezlak

• Machine Learning for Biostatistics
• Machine Learning for Biostatistics

Arredondo Sánchez Andrea Elizabeth, Vargas Mendoza Ana Luisa

• Bookdown

Arthur Small

• Time Series and Forecasting: A Project-based Approach with R

Arthur Small, Principal Scientist

• Data Science Boot Camp

Arturo Chian

• The Art of Finance: Theory, Practice & Fiction

Asser Koskinen

• Simple R Guide

Associação Brasileira de Jurimetria

• ABJ Syllabus

asun_mayoral

• Lean Seis Sigma para la Mejora de Procesos
• Inicio

Austria

• Growth in times of Coronavirus

Austrian Economic Committee

• Austrian Long Term Growth Report

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

• Comprehensive Exam Study Guide

authored by the Industrial and Organizational Program faculty

• MSU PhD Roles and Policy Manual

Authors: The RIPLRT

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

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

• Notas de Microeconometría Aplicada

Autor: Mg. Daniel Paredes Inilupu

• Data Science con R

Axel-Cleris Gailloty

• Overview of suicide in the world

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 (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

• 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

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

Brendan Casey

• Bioacoustics Class: Introduction to Google Earth Engine
• 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

Bruna Wundervald

• Mixed BART Models: maths and discussion

Bruno Lucian & Claudia Jakelline

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

Bruno Rodrigues

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

Bryan Shalloway

• Yet another ‘R for Data Science’ study guide

Brynjólfur gauti Jónsson

• Móðir og Barn

Brynjólfur Gauti Jónsson

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

Burak AYDIN, James ALGINA, Walter LEITE, Hakan ATILGAN

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

By 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

Cédric Vuignier and Gaëtan Lovey

• Project in Data Analytics for Decision Making

Chaeeun Song

• Review and Homework for Programming for Educational Research

Charles Coverdale

• R cookbook for the casual dabbler

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

Chengxiang Tang

• Medical Education & Physician Supply
• Notebook

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

• Quick R for Statistics

Chiayi Yen

• Data Visualization Project

Chih-Chung Ting

• 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 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, 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

Chunji Wang

• Selected Solutions to R4DS Exercises

cjlortie

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

Clarissa Narai e Robson Pessoa

• Aulas e Paletras - Ciência de Dados na Escola Pública

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, Lion Behrens, Camille LandesvatterAuthors & 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, Ondrej Pekacek, Pirmin Stöckle, Malte Söhren

• 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)

Darrin Speegle

• Foundations of Statistics with R

DataGood.id

• Pengantar R

Davi Moreira

• Texto como Dado para Ciências Sociais
• Text as Data para Ciências Sociais

David C Carslaw

• openair book

David Dalpiaz

• R for Statistical Learning

David Gohel

• officeverse

David Granjon

• Outstanding User Interfaces with Shiny

David Hume

• Dialogues Concerning Natural Religion

David John Baker

• MODELING MELODIC DICTATION

David Josephs

• Time Series Midterm Review

David Keyes // R for the Rest of Us

• How I Use R

David Klotz

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

David Studholme

• University of Exeter: BIO2092
• 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

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

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. Héctor Murillo

• Medicina de Estilo de Vida

Dr. Lauren Cappiello

• Introduction to Statistics

Dr. Pratheesh P. Gopinath

• LECTURE NOTES OF STAT 3202

Dr. S. Jackson

• Machine Learning

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.Major Taiwan

• UI-UX

Eagle I-O

• MSU I-O Student Mentorship Program User Manual

Eagle I.O

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

Earo Wang

• Tidy tools for supporting fluent workflow in temporal data analysis

Editor: Helene Wagner (University of Toronto)

• Landscape Genetic Data Analysis with R

Editor: Sam Tyner, Ph.D.

• Open Forensic Science in R

Editor: Samuel Videholm

• Pediatrik - en studieguide för ST-läkare

Eduardo García-Portugués

• Notes for Nonparametric Statistics
• A Short Course on Nonparametric Curve Estimation
• Notes for Predictive Modeling
• 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

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

Elaine Christine de Magalhães Cabral Albuquerque, Rejane de Almeida Santana dos Santos, Simão Pedro de Oliveira Urpia

• Produção do Conhecimento Científico

Elias T. Krainski, Virgilio Gómez-Rubio, Haakon Bakka, Amanda Lenzi, Daniela Castro-Camilo, Daniel Simpson, Finn Lindgren and Håvard Rue

• Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

Elise Hinman

• tmdlTools Guide

Ellis Valentiner

• CookDown

Emil Hvitfeldt

• 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

• Behavior Analysis with Machine Learning Using R

Equipe Ciência de Dados na Educação Pública

• “Ciência de Dados na Educação Pública: Relatório 2021.1”

Equipo Investigación

• Proyecto Migración

Eric Bastos Gorgens, Marcio Leles Romarco de Oliveira

• Computação em R: Análise experimental

Eric van Holm, PhD

• Introduction to Research Methods
• Working with Data in R

Eric Zivot

• Introduction to Computational Finance and Financial Econometrics with R

Erik Bülow

• Underlagsrapport för En ännu bättre strålbehandling avseende incidens och prevalens av cancer i Västra Sjukvårdsregionen 2016-2030

Erik Stenberg

• Lösningar i R till vissa uppgifter från övningskompendierna
• Lösningar i R till vissa uppgifter från övningskompendierna (samt lite annat kul)

Erin LeDell

• useR! Machine Learning Tutorial

Ernesto Carrella

• POSEIDON tutorial

Evaluation, Statistics, and Methodology - University of Tennessee, Knoxville

• R Software Handbook

Evrard Louis - l.evrard@student.uclouvain.be - LSBA - UCLouvain, Govaerts Bernadette - bernadette.govaerts@uclouvain.be - LSBA - ISBA - UCLouvain

• Analyses statistiques avec R

Ewen Harrison and Riinu Pius

• R for Health Data Science

exampatutor

• ExamPA.net Overview

eythorbj

• Egils saga Skalla-Grímssonar

Eyþór Björnsson

• Föll í R - Dæmi

Fabien GELINEAU neonira@gmail.com

• Offensive Programming Book

Fábio M. Corrêa **Email: f.correa@ru.ac.za

• An introduction to R Markdown

Facundo X. Palacio

• Modelos lineales y aditivos en ecología

Fardilla Rahmawati, Muhammad Ammar Sahab

• Modul Praktikum Perancangan Percobaan

fede_caruso

• Data protection in journalism: a practical handbook

Felipe Ferré

• Modelagem de coortes com dados administrativos
• Sabeis - Sala Aberta de Inteligência em Saúde

Felix E. Rivera-Mariani, PhD

• UPR-PRISE Data Science Workshop 01/26/2019

Felix Lennert

• Fighting Words Exercise – Solution
• An(other) introduction to R
• Toolbox CSS

Fernández-Casal, R. y Cotos-Yáñez, T.R.

• Escritura de libros con bookdown

Fernando Izco

• Base de datos corporativa de personas

Feryel Lassoued and James Nolan

• Stability Of Industry Level Climate Coalitions: A Computational Framework for Environmental Governance In Maritime Shipping

Filip Wastberg

• R och Demoskop

Filip Wästberg

• Introduction to R

Filip Wästberg & Torbjörn Sjöberg, Solita

• Kursmaterial Introduktion till R - Certifierad Data Scientist

Filip Wästberg, Solita

• Kursmaterial till Certifierad Data Scientist

Florian Meinel florian.meinel@jura.uni-goettingen.de

• Skript zur Vorlesung Staatsrecht II – Grundrechte

Florian Privé

• Advanced R Course

Fousseynou Bah

• Data Science avec R

François Rebaudo

• R para los científicos
• R pour les scientifiques : Mise en œuvre de projets et valorisation des résultats

Frank Acito

• Analytics with KNIME and R

From The Void

• Season 3 Stlats EDA

G.L.

• Mathematical methods for Economic analysis

Gabriel Butler UCLA Global Classroom

• ECON 41 Labs

Gabriel Carrasco

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• R for Data Science

Gastón Becerra y Juan Pablo López Alurralde

• Introducción a la ciencia de datos con R.

Gaston Sanchez

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Gerhard Krennrich

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Gio Circo

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• Tutorial
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• R Packages

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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

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• 2021 REU Data Science Training

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Heejun Lee

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Helge Peters and Nathanael Sheehan

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Henrik Eckermann

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Heo Soyoung

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Hugo Cornet, Pierre-Emmanuel Diot, Guillaume Le Halper, Djawed Mancer

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Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter and Julia Lane

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Igor Procópio

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Ilán F. Carretero Juchnowicz

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Indrajeet Patil

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Introduction To Data Science

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introrbook

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Iosu Paradinas

• Curso R base

iqss.github.io

• Math Prefresher for Political Scientists

Isaac Subirana

• Análisis de datos longitudinales

Isabel Molina Peralta and Eduardo García-Portugués

• A First Course on Statistical Inference

Ismael Calandri

• Fleni. Introduccion a la estadistica para las neurociencias

J. Kyle Armstrong

• Fundamentals of Wrangling Healthcare Data with R
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J.H. van der Zwan

• Machine Learning Techniques

J.W.Biggs

• Thucydides the Neorealist?
• Introduction to Digital Currency

Jacob D. Holster

• Introduction to R for Data Science

Jacob Kaplan

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

Jacob Larget

• Data Modeling Methods

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
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• 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

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• DWQ’s irTools package: An automated approach to water quality assessment

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• UDWQ wasteloadR R tools
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Jakub Nowosad

• Geostatystyka w R

James (JD) Long, Paul Teetor

• R Cookbook, 2nd Edition

James Brophy

• (Mostly Clinical) Epidemiology with R

James Craig

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James McBroom

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James P. Curley & Tyler M. Milewski

• PSY317L & PSY120R Guidebook
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James Scott

• Data Science in R: A Gentle Introduction

Jan de Leeuw

• Block Relaxation Methods in Statistics

Jan de Leeuw, Masanao Yajima

• APL in R

Jan de Leeuw, Patrick Mair, Patrick Groenen

• Multivariate Analysis with Optimal Scaling

Jan De Neve

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Jan Dul

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Janaina Souza, Júlia Bijos, Kaike Reis

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Jaroslaw Harezlak & Armando Teixeira-Pinto

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Jason Matthiopoulos, John Fieberg, Geert Aarts

• Species-Habitat Associations: Spatial data, predictive models, and ecological insights

Javier Luraschi, Kevin Kuo, Edgar Ruiz

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Javier Morales (Universidad Miguel Hernández de Elche), Mª Asunción Martínez (Universidad Miguel Hernández de Elche)

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Jeanette Mumford

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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

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• Introduction to R
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Jennifer Bragger, Diego Figueiras, Renata Garcia Prieto Palacios Roji, John Kulas & Ian Lee

• Technical Report for the Development of a Values Informed Leadership Measure

Jennifer Bryan, Jim Hester

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Jennifer Paris, Antoinette Ricardo, & Dawn Rymond

• Understanding the Whole Child: Prenatal Development through Adolescence

Jeroen Janssens

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Jerome Levesque and David Maybury

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Jerry Bean, College of Education and Human Ecology, The Ohio State University

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Jerry Bean, College of Social Work, The Ohio State University

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Jerry Davis, SFSU Institute for Geographic Information Science

• Introduction to Environmental Data Science

Jesper Wittrup

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

Jess L

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Jess Li

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Jessica Kubrusly

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Jessica Mann

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Jiansi Gao, Michael R. May, Bruce Rannala, Brian R. Moore

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Jim Grange

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Jizhou Kang

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• My Website

Joe Siwinski

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

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John Coene

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John Doe

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John Stone

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• CAPITAL AS POWER

Jonathan Weisberg

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Patricio Araneda

• Base de Datos

Patrick Mendes dos Santos

• Eletrônica Geral

Paúl Bravo L. & Francisco Salgado C.

• Introducción a R y SIG

Paul C. Bauer

• Computational Social Science
• GESIS Workshop: Applied Data Visualization
• Computational Social Science: Theory & Application
• Applied Causal Analysis (with R)

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

Paulius Alaburda

• Gopnik Guide to Biology

Peng Zhao

• R bookdownplus Textbook

Perry Stephenson

• Data Science Practice

Peter

• Enlighter

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 and Methodology
• Science Research Methods: Software
• Science Research Methods: Tutorials
• Primer on Mathematical Statistics
• 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

Piotr Fryzlewicz

• Deep Learning in R: A Data-Analytic Viewpoint

PoMingChen

• Minimal-Git-demo

probability

• bookdown-demo.knit

Prof Dr Matthias Bogaert

• Predictive Analytics: The Code Book

Prof. Dr. Carsten Sauer

• Applied Statistics

Prof. Dr. Ralf Kellner

• Quantitative Methoden für Wirtschaftswissenchaften
• Regression- und Datenanalyse

Prof. Michela Cameletti & Tutor Marco Villa

• MLFE R labs (2022 ed.)

Professor Forrest Stuart, TA: Francine Stephens

• The Social Life of Neighborhoods: Data Preparation & Mapping Tutorials

Professora Alinne Veiga

• PTE-3121 - Planejamento e Análise de Pesquisas Longitudinais

Przemyslaw Biecek and Tomasz Burzykowski

• Explanatory Model Analysis

psyteachr.github.io

• Data Skills for Reproducible Science

Pyradise

• Hello Py: Python 程式設計

Qiushi Yan

• 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 Contribution Working Group

• R Development Guide

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

Ramon Perdigao

• R Essentials for Six Sigma Analytics

Ramzi W. Nahhas

• Introduction to Regression Methods for Public Health Using R

Randy Ridenour

• Pursuing Truth: A Guide to Critical Thinking

Randy Tarnowski

• ICCU as Employers

Raphaël Mabit

• Remote sensing algorithms to retrieve SPM and CDOM in Québec coastal waters

Ray Hoobler

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

release

• Orchestrating Single-Cell Analysis with Bioconductor

Renata Lúcia Magalhães de Oliveira

• Sobre reduzir distâncias…

Rethink Priorities

• Bookdown Template

Rezky Yayang Yakhamid

• Pengelompokan Kualitas Hidup Komuter dengan K-Means Clustering

Ricardo Cao Abad (rcao@udc.es) y Rubén Fernández Casal (rfcasal@udc.es)

• Técnicas de Remuestreo

Richard P. Shefferson

• lefko3: a gentle introduction

Richard R. Evans (Richard.Evans8@va.gov), Wyndy Wiitala (Wyndy.Wiitala@va.gov), Jenny Burns (Jennifer.Burns@va.gov)

• Weight Algorithms for Administrative Data

Rik Crutzen & Gjalt-Jorn Ygram Peters

• The Book of Behavior Change

Rishi Goutam

• A Rishi Bookdown Book

Rob Carroll

• Probability and Statistics

Rob Crystal-Ornelas, PhD

• Meta-analysis of Ecological Data in R

Rob Hayward

• Bloomberg
• Macroeconomics

Rob Kabacoff

• Data Visualization with R

Robert B. Gramacy

• Surrogates

Robert Barcik

• Authentic Data Science

Robert E. Furrow, Joel Rodriguez-Medina

• BIS23B

Robert Goedegebuure

• Math & Stats Intro
• Fashion Logistics Analysis
• K-Means Clustering
• Research Methods
• Market Segmentation & Clustering
• 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

Roberta Parlavecchia

• MICROSTRUCTURAL FAULT ANALYSIS IN ROCCHETTA E CROCE (MONTE MAGGIORE, CE)
• VALUTAZIONE DELLA SUSCETTIBILITA’ DA FRANA NEL BACINO IDROGRAFICO DI TRUNCA (RC)

Roberto C. Duarte

• Curso R 2022 Jueves
• Curso R 2022
• Curso R 2021

Robin and Katy

• From Madrid to Santiago de Compostela, 2019

Robin Lovelace, Jakub Nowosad, Jannes Muenchow

• Geocomputation with R

Robson Wilson Silva Pessoa

• Plano de Curso de Ciência de Dados
• Anotações do treinamento R

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

• Introducción a R para el razonamiento cuantitativo con datos

Rodrigo Almeida dos Santos - rodrigo.almeida @ gmail.com

• Alfabetização em Dados para Inovação

Roger D. Peng

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

Roger D. Peng and Elizabeth Matsui

• The Art of Data Science

Roger D. Peng, Sean Kross, and Brooke Anderson

• Mastering Software Development in R

Ron Sarafian

• Introduction to Data Science

Ronald Gualán Saavedra

• Introducción a la Computación con GPUs usando R

rOpenSci software review editorial team (current and alumni): Brooke Anderson, Scott Chamberlain, Laura DeCicco, Julia Gustavsen, Jeff Hollister, Anna Krystalli, Mauro Lepore, Lincoln Mullen, Karthik Ram, Emily Riederer, Noam Ross, Maëlle Salmon, Adam Sparks, Melina Vidoni

• rOpenSci Packages: Development, Maintenance, and Peer Review

Rose Graves

• Corrupted Data and the Illicit Arms Trade

Rose Werth

• Categorical Regression in Stata and R
• Linear Regression in Stata and R

Rosemary_Hartman

• Secchi Depth

Rosineide da Paz

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

Rubén Fernández Casal (ruben.fcasal@udc.es), Julián Costa Bouzas (julian.costa@udc.es), Manuel Oviedo de la Fuente (manuel.oviedo@udc.es)

• Aprendizaje Estadístico

Rubén Fernández Casal (ruben.fcasal@udc.es), Ricardo Cao (rcao@udc.es)

• Simulación Estadística

Ruohan Li

• R 语言学习笔记

Rushad Faridi, PhD

• Time Series Analysis

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

• Data Science in Education Using R

Sacramento Shapers

• Shaper Hands Backend Manual

Sakol Suethanapornkul

• Statistical Thinking for Linguists

Salfo Bikienga

• Econ 215 Notes

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

• Elaboración de productos de datos: Reportes con R Markdown

Samuel Calderon, Sandra Cerna, Antenor Escudero, Christian Reyes

• Entrenamiento en productos de datos: R Markdown

Sara Pisani

• Long-form recordings: From A to Z

sarah_erickson_m

• Exploring the Arctic through Data

Satwik Acharyya, Xiang Zhou, Veera Baladandayuthapani

• Supplementary Materials for Gene Co-expression Network Estimation for Spatial Transcriptomics

Scott Chamberlain, Maëlle Salmon

• HTTP testing in R

Scott Ming

• Notes and Codes while Learning R

Sean Collins

• Biostatistics for Clinical Research

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

Sérgio Moreira

• Step by Step I: Linear Models
• My Coding Index

Shannon Carter & David McClendon

• JA Data Science Cookbook

Shaoshuang Wen, University of South Carolina,

• POLI 330 International Organization
• R for Data Science
• R for Everyone (Advanced Analytics and Graphics) and LaTeX

Shen Qu

• The Association Between Travel and Urban Form

Shuai Huang & Houtao Deng

• Data Analytics: A Small Data Approach

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

• Épidémiologie 2 - Labo informatique R (PTM-6675)

Siraj Raval, revisited by Kim NOËL

• Make money with machine learning

Siyeon Kim

• Kim Siyeon

Slezák Martin

• Untitled

Solveig Bjørkholt

• Webscraping med R

Sonia Monroy, Hernando Díaz, Francisco Amórtegui, Luis E. Gallego

• Encuesta docente Impacto de la Pandemia en el desempeño académico de los estudiantes

Søren O’Neill

• Guide til klinikophold

Stanford Data Lab

• Visualization

Statistics Team, PPLS

• Introductory Resources: Statistics and R

Statistics/Data Science at St. John Fisher College

• STAT160 R/RStudio Companion

Stefanie Wind & Cheng Hua

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

Stéphanie M. van den Berg

• Analysing Data using Linear Models

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

• R @ Ewha (Sunbok Lee)

Sunbok Lee (Ewha Womans University, 2021-2)

• R for Solving Social Problems

Sunbok Lee copied by 212AIE40 Jiwon Choi

• R @ Ewha (Sunbok Lee)

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, Anne Lise Fimreite, Jon Kåre Skiple

• Deliberativ meningsmåling i Bergen

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

Sylvain Chabé-Ferret

• Statistical Tools for Causal Inference

Tae Geun Kim

• Machine Learning with Rust

Taeyeon Chung

• Exercise

Taia Wu

• Data Visualization Workshop

taleedsabawi

• HOW TO PROTEST FROM HOME

Tan-Duc Nguyen

• Học xác suất thống kê qua phần mềm R

tan78

• Epistemic Network Analysis Web Tool User Guide

Taylor Dunn

• An Introduction to Statistical Learning with the tidyverse and tidymodels

Teaching & Learning Centre

• Interactive Teaching Techniques

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

• Working with data

Thalita do Bem Mattos

• Noções de Inferência no R

The Geber Lab

• Mayapple analyses

the handbook team

• The Epidemiologist R Handbook

The IsoriX core Team

• IsoriX: Isoscape Computation and Inference of Spatial Origins using R

thea_knowles

• Dissertating with RMarkdown and Bookdown

Theodore Wiebold

• Multivariate Statistical Analysis using R

Thích Nhất Hạnh

• Đạo Phật Qua Nhận Thức Mới

Thieu Nguyen

• R Programming Tutorial

Thomas M. Holbrook

• An Introduction to Political and Social Data Analysis Using R

Thomas S. Robinson  (

• 10 Fundamental Theorems for Econometrics

Thomas S. Robinson (

• 10 Fundamental Theorems for Econometrics

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

Tiffany Timbers, Trevor Campbell, and Melissa Lee

• Data Science

Tiger Qu

• FINM2002/FINM7041

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

Ting Peng

• Analysis scripts for NHi-C

Ting-Chih Hung

• 分析導論
• R 學習筆記

Tomáš Bacigál

• Úvod do analýzy údajov pomocou R

Tomás J. Aragón

• Population Health Data Science with R

Tomislav Hengl and Robert A. MacMillan

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

Tommy Cornally

• Building Pension Models and Actuarial Tools Using R and R Shiny

Tormod Bøe

• Writing papers with R and friends

Tormod Bøe Førsteamanuensis

• Dokumentasjon av utdanningsfaglig kompetanse

tpemartin

• 課程介紹
• 課程大綱
• 高中生的未來事件簿

Travis Kassab

• Data Science for Human-Centered Product Design

Trevor Hefley

• Regression and Analysis of Variance
• 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

Uğur Dar

• Doğrusal (Lineer) Regresyon
• R Programlama - Başlangıç

UK Public Health Rapid Support Team

• R Training Manual

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

• Calculus-Integration

UW STAB Working Group

• STAB Tutorials

Vahid Shahrezaei

• Calculus and Applications - Part II

Valen Terés

• Manual de R

Valerie Hase, IKMZ, Universität Zürich

• Forschungsseminar: Text as data

Valerie Hase, IKMZ, University of Zurich

• Text as Data Methods in R - Applications for Automated Analyses of News Content

Varios

• Disentangling the contribution of climate,deforestation,and control efforts on malaria epidemiology in the peruvian amazon rainforest

Various Authors

• UCT Actuarial Science Student Managment Program

VCRIS logo Virginia Department of Historic Resources

• VCRIS User Guide

Version 2.0 - BETA, By: The MATTOO Team

• MATTOO: Extinguishing the Flames

Victor Cuspinera

• Guía para usar Haver Analytics

Víctor Morales-Oñate

• Machine Learning: Teoría y Práctica
• Métodos de evaluación de impacto
• Series de Tiempo

victor_morales

• Econometría Espacial

Vikram Singh Rawat

• Best Coding Practices for R
• Learn RDataTable

Vinayak Anand-Kumar

• Applications of Machine Learning in Imputation

vincentsaudanba

• Analysis

Vinicius Moreira

• Responsabilidade Social no Exercício da Engenharia
• 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

Wade Roberts, Colorado College

• R you Ready for R?

Wayne de Fremery

• Introduction to Korean Literature
• 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

Weverton Lisboa de Sena, Luiz Henrique dos Santos Fernandes

• Introdução ao R

WildCo Lab, UBC

• WildCo: Reproducible camera trap data exploration and analysis examples in R

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

Y. Wendy Huynh

• R for Graduate Students

Yan Ren

• Geostatistics Final Summary

Yaniv Brandvain

• Applied Biostats – BIOL3272 UMN – Fall 2022
• Applied Biostats

Yann Ryan

• A Short Guide to Historical Newspaper Data, Using R

Yaohui Ding

• PSY230: Psychological Measurement and Statistics

Yi Shang

• Making Sense of Data with R

yifan_wang

• Coding Guide

Yifei Xiong

• Some Notes on Mathematics

Yihui Xie

• bookdown: Authoring Books and Technical Documents with R Markdown
• TRABAJO DE CALIDAD DE AGUA RIMAC
• 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

Yiming

• Lecture 2 Note

Yiming Gong

• Lecture 12 Note
• Lecture 11 Note
• Recitation 7 Note
• Recitation 6 Note
• Lecture 8 Note
• Recitation 5 Note
• Lecture 7 Note
• Recitation 4 Note
• Lecture 6 Note
• Lecture 5 Note
• Recitation 3 Note
• Lecture 4 Note
• Recitation 2 Note
• Lecture 3 Note

Ying Zheng

• VDL-NGS-Lab Analysis Protocol

yiugn@naver.com

• 너무나도 중요한 소식

Yogi Gohel

• Intermediate Microeconomics

Your name

• Title

Yufei Zhong

• 商业数据分析师-R 语言数据处理
• R语言学习笔记

Yuleng Zeng

• Interstate Conflict
• Introduction to International Relations
• Economic Statecraft
• Chinese Foreign Policy
• An Introduction to Game Theory
• An Introduction to R, LaTeX, and Statistical Inference
• Social Advocacy & Ethical Life
• An Introduction to R and LaTeX

Yunlong Yang

• GSBS Core Course Biostats Modules in R

Yutaro Sakairi, Abigail Meyer, and Lauren Buckley; The TrEnCh Project, University of Washington

• Microclimate Algorithms

Yuting Liu

• Single Cell Multi-Omics Data Analysis

Yuyang Shi

• 读书笔记：中共的治理与适应
• Weekly Readings

Yuyang Shi, Yokia Xu

• Summer RA Conclusion

Zev Ross (with Andrew Clark)

• R Powered Web Applications with Shiny

Zhenning ‘Jimmy’ Xu

• Marketing Research & Analytics - MKTG4000

Zhenning ‘Jimmy’ Xu, Ph.D.

• Marketing Channel: A Strategic, Analytical, and Technological perspective

Zhijun Wang

• R Cookbook in Food Science

Zhilin Su

• Notes of English Writing for Academic Pursuit

Zuguang Gu

• ComplexHeatmap Complete Reference

ΔΓ

• Entre le terre et le ciel

Алексей Селезнёв

• Введение в dplyr 1.0.0
• Разработка telegram ботов на языке R
• Язык R для пользователей Excel

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

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

이우근

• 성경

해들리 위컴, 개럿 그롤문드, 번역-김설기, 최혜민

• R for Data Science - 한국어

于淼

• 现代科研指北
• 自然生活的数学原理
• 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

国里愛彦(専修大学)・竹林由武(福島県立医科大学)

• 今日からできる再現可能な論文執筆

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-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

孔冬冬

• R_for_Hydrology.knit

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, 中国林业科学研究院亚热带林业研究所, aj7105@gmail.com

• R语言基础与光谱建模

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
• Shiny (I)

牧羽尘

• 实验品一号

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

王祎帆, 闫求识, 高春辉

• R Markdown 指南

田丰 武汉大学遥感学院

• 地球系统科学导论

矢内 勇生

• KUT 計量経済学応用

统计科学部

• 滴滴实验白皮书

罗飞

• 重庆市公共卫生医师规范化培训-寄生虫病
• LuoFei的R学习笔记

芝田 征司

• jamovi完全攻略ガイド
• jamoviクイックガイド（Analysis編）

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