List of books by authors

• Técnicas de Análisis de Datos Económicos con R
• Uvod u R i R Studio
• ABC en R
• Statistical Reasoning: A Modeling and Simulation Approach
• Statistical Thinking: A Simulation Approach to Modeling Uncertainty (UM Spring 2023 edition)
• Introducción a los Indicadores Limnológicos y su Análisis Estadístico en R
• Advanced Statistics I & II
• Neukölln-Komplex - Rechercheübersicht
• Exploratory Factor Analysis in R
• STM1001: Introduction to Machine Learning in R
• Statistical Thinking: A Simulation Approach to Modeling Uncertainty (UM STAT 216 edition)
• STM1001: Foundational Biology for Analyses of Biological Data
• STM1001: Data Visualisation in R
• STM1001: Introduction to Bioinformatics in R
• Processen
• Processo de Produção do Formaldeído
• Statistical Thinking: A Simulation Approach to Modeling Uncertainty (UM STAT 216 edition)
• Survey Guide: The Challenge from Terrorism in the Nordic Countries
• A Statistical Analysis of Inherited Blindness: Physiological and Genetic Assays
• 1 Introdução
• statsthinking21
• The Epidemiologist R Handbook
• Tidy Finance – Tidy Finance

“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

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

A. Bradley Duthie

• Fundamental statistical concepts and techniques in the biological and environmental sciences: With jamovi

Aaron Coyner and Ted Laderas

• Ready for R: Notebook Reference

Abby Keller

• Green Crab Management Tools: A Guide

Abdoul Aziz Berrada

• Python

Abdoul Oudouss Diakite

• R pour l’économétrie

Abdoul Oudouss Diakite, Othmane ETTADLAOUI

• Annalyse de données

Abdoul Oudouss DIAKITE, Othmane ETTADLAOUI

• La tarification a priori

Abel Luis Muñoz Vera

• Madurez digital en los municipios de la región del Biobío

abigailkeller

• eDNAjoint: an R package for interpreting paired or semi-paired environmental DNA and traditional survey data in a Bayesian framework

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

aguha

• Place-Based Belonging

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 Bernat

• Puertas de entrada: lecturas para introducirse a la Filosofía y la Literatura

Alberto Brunete, Pablo San Segundo y Rebeca Herrero

• Introducción a la Automatización Industrial

albertobernat

• Berta en la web - Berta Pardina

alecristia

• Long-form recordings: From A to Z

Alejandro Quintela del Rio

• Estadística Básica Edulcorada

Aleksadner Mendoza

• Learn Mathematics and Computer Science with Isabelle

Aleksander Dietrichson, PhD

• Métodos Cuantitativos

Alessio Rossi

• R Tools for Market Research

Alex Edwards and Emily Peterson

• DATA532

Alex Hallam

• Simulation And The James-Stein Estimator In R

Alex Joel Marco

• Proyecto Final: Hotel Cancelation

Alex Merklein & Ethan Choate

• Impacts of Wetlands on Vegetation Recovery in Post-Fire Landscape: Hayman Fire Case Study

Alex Mesoudi

• Simulation Models of Cultural Evolution in R

Alex O. Holcombe

• From Attention to Distraction

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

• Political Economy of Development
• Research Guide

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 data

Amanda Shaker

• STM1001 Topic 4: Sampling Distributions
• STM1001 Topic 5: Hypothesis Testing
• 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 6: t-tests for two-sample hypothesis testing
• STM1001 Topic 3: Probability and Distributions
• STM1001 Topic 2 - Descriptive Statistics
• STM1001 Topic 1: Introduction to statistics and presenting data
• STM1001 Topic 10: Chi-squared Tests for Categorical Data
• STM1001 Topic 11: Statistical Power and Sample Size Calculation

Amanda Shaker and Rupert Kuveke

• STM1001: Maths and Notation Summary

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

Andersson Vargas Magallanes

• Aprendiendo R studio.

André Calero Valdez

• Computational Communication Science mit R

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, Adam Dennett and Claire Dooley

• CASA0005 Geographic Information Systems and Science

Ann Garbett

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

Anna Brown

• Psychometrics in Exercises using R and RStudio

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
• Research methods introduction for genetic counseling students (Fall 2021)
• MGHIHP HE-802, Spring 2021

Anthony Nadjari-Finckelstein

• Vol and Var swaps

Anthony Schmidt

• Causal Inference in Education

Antonio R. Linero

• Statistical Modeling II: SDS383D

Antony Unwin

• Getting (more out of) Graphics

Aoyue Bi

• Aoyue Bi’s Study Notes

AP Leith

• Quantitative Research in Mass Communications

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
• 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 Hideio Noguti

• Relatório Velocidades

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

• Python
• R Guide

Associação Brasileira de Jurimetria

• ABJ Syllabus

asun_mayoral

• Lean Seis Sigma para la Mejora de Procesos
• Inicio

Austin Lee

• 高效文献计量工具介绍与部署教程
• IRC食用指南

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: A group of cool researchers

• CRT and Belief in God

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, M.Sc.,CDS

• Aljabar Linear
• Aljabar Linear

Based on Chapter 3 of ''Scientific Research and Methodology'' by Peter K. Dunn (Dunn 2021)

• STM1001 Topic 3B (Science and Health)

Based on Chapter 5 of ''Scientific Research and Methodology'' by Peter K. Dunn (Dunn 2021)

• STM1001 Topic 4B (Science and Health)

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 6 & 7 of ''Scientific Research and Methodology'' by Peter K. Dunn (Dunn 2021)

• STM1001 Topic 5B (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)

Based on Chapters 8-10 of ''Scientific Research and Methodology'' by Peter K. Dunn (Dunn 2021)

• STM1001 Topic 6B (Science and Health)

Beckett Stephens

• The Final War

Ben Gonzalez

• PostgreSQL Explained for R-Users and R-Programmers

Ben Prytherch

• Inferential Reasoning in Data Analysis
• STAT 331
• 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)

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

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

• Statistical modelling

Benno Hildebrandt, Steffen Köhler, RUHR-UNIVERSITÄT BOCHUM Fakultät für Wirtschaftswissenschaft Lehrstuhl für Statistik/Ökonometrie

• Statistik I

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

Bianca Sosnovski

• Introduction to Statistics: Excel Lab Manual

Bingwei Liu

• AWS Tutorial

birderboone

• Matts Baking Cook Book

Blake Reynolds

• PS 811 Website

Błażej Kochański

• Ekonometria finansowa
• Statystyka 2. Skrypt
• Volatility modelling and market risk analysis – course notes
• Modele rynku kapitałowego
• Statistics 1 - exercises

Bob Dagg

• ORCA Transitional Facility Manual V4.1

Bob Rudis

• Writing Frictionless R Package Wrappers

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

• Introduction to Google Earth Engine
• Workflow for Refining ClimateNA Temperature Predictions
• Project Documentation
• 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. 2nd. Edition
• 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

Budina Eka Prasetia

• R Untuk Mahasiswa Sains Veteriner

Burak AYDIN, James ALGINA, Walter LEITE, Hakan ATILGAN

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

by Brian Jungmin Park

• Everyday-R: Practical R for Data Science

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

cameratrapdetector

• 2024 Forum on AI Applications to USDA Science

Campos Sosa Isaac, Leal Rosas Renzo, Perez Bastarrachea Yamiley

• Proyecto Final -SW

Canadice

• Franchise Hockey Manager 6 Saves in R

Carson Sievert

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

Catrina Notari, John Kulas

• Proposed Psychometrics OER: Authoring Platform Features

cbl&qht

• Our Story

cda

• Kinesiska

Cédric Vuignier and Gaëtan Lovey

• Project in Data Analytics for Decision Making

Celeste Huaman

• Sobre el lenguaje R

CERPOP, INSERM, EQUITY Team

• 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

Chen Peng

• MetaNet: Network Analysis for Omics Data
• pctax: Analyzing Omics Data with R

Chen Peng and Yueer Li

• iPhylo Tutorial

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

Chia-Jung (Robert) Yeh 葉家榮 PhD: Insitute of Transport and Logistics Studies, USYD M.S.: Department of Transportation and Logistics Management, NYCU

• TDX 運輸資料介接指南
• 運輸資料分析角落：初學者園地

Chiayi Yen

• Data Visualization Project

Chih-Chung Ting

• 2024 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

Christian Scheidl

• The Role of Forest in Mountain Risk Engineering

Christine Griffith

• Work Portfolio

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

• Introduction to Econometrics with R

Christoph Molnar

• Interpretable Machine Learning

Christopher Barrie

• MMES Quantitative Research Methods Oxford 2021

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

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

Christopher Mecklin

• STA 265 Notes (Methods of Statistics and Data Science)
• STA 125 Notes (Statistical Reasoning)
• STA 440/441 Notes (Mathematical Statistics I)
• STA 135 Notes (Murray State)

Chunji Wang

• Selected Solutions to R4DS Exercises

Chuqui & Perez

• Informe Final

cjlortie

• quantitative_synthesis_tools.knit
• 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

Claus O. Wilke

• Fundamentals of Data Visualization

Clayton Engelby

• ECO 397 Book Review

Clement Lefevre

• Uber Movement dataset : playing with spatial data

Coin Data School (

• Concentrated Liquidity Provision

Colette Mair and Craig Wilkie

• Regression Models (Level M)

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

Conrad Ziller, University of Duisburg-Essen

• Introduction to Statistics and Data Analysis – A Case-Based Approach

Constantin Colonescu

• Principles of Econometrics with R

content

• Introdução ao R
• 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

Curated by: Kevin Fo

• BS2002: Microbiology
• BS2001: Physiology
• BS2003: Biochemistry II

curleyjp0

• James' R Blog: NFL Scorelines

Current editors: Paul C. Bauer, Camille Landesvatter, Lion Behrens Authors & contributors: Paul C. Bauer, Jan Behnert, Lion Behrens, Chung-hong Chan, Jacopo Gambato, Noam Himmelrath, Bernhard Clemm von Hohenberg, Johanna Hölzl, 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, Ondřej Pekáček, Felix Rusche, Pirmin Stöckle, Marie-Lou Sohnius, Malte Söhren, Domantas Undzėnas

• APIs for social scientists: A collaborative review

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 Nettle

• Producing and Using Data in Cognitive Science

Daniel P. Hall Riggins

• SIDS-Related Deaths in Cook County, IL

Daniel P. Palomar

• Portfolio Optimization

Daniel Polites, Ruibo Hou, Sihao Cheng, Yang-Hsuan Huang

• Neural Nets from Scratch

Daniel Schumann & Oliver Böhm-Kasper

• Mit Emma durch den Daten-Dschungel

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

Danielle Navarro (bookdown translation: Emily Kothe)

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

Danna Cruz

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

Dante Hidalgo

• El lenguaje R

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, Jack Davison

• The 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 Klotz

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

• gibbonR: An R package for the automated detection and classification of female gibbon calls from long-term acoustic recordings
• 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 Mathematical Sciences at Durham University

• Advanced Statistical Modelling III (second term)

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
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José Becerra, MD, MPH, FACPM

• Research Methods

Jose Fernandez

• Econometrics for Business Analytics

Josep Espasa Reig

• (Very) basic steps to weight a survey sample

Joseph E. Hightower

• A Bayesian Introduction to Fish Population Analysis

Joseph Fox

• Data Analysis with R

Joseph Ripberger, Cody Adams, Alex Davis, and Josie Davis

• Lab Guide to Quantitative Research Methods in Political Science, Public Policy & Public Administration

Josephine Lukito

• 381M Course Bookdown

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

Josias Oliveira Lima - Turma T04

• Disciplina Big Data & Analytics

josiesmith

• Lab Guide to Quantitative Research Methods in Political Science, Public Policy & Public Administration.

Josip Arnerić & Anita Čeh Časni ©jarneric@net.efzg.hr, aceh@net.efzg.hr

• Business Statistics

Josip Arnerić ©jarneric@net.efzg.hr

• Econometrics
• Uvod u R
• Statističke metode za ekonomske analize

Joyce Robbins

• edav.info v2

Jozef Hajnala

• Using Spark from R for performance with arbitrary code

jp_6

• Bio Ciencia de Datos

Juan Bosco Mendoza Vega

• R para principiantes

Juan Felipe Roa Melo && Ciro Alberto Amaya

• Desarrollo de herramientas para el manejo de inventarios de manera fácil e intuitiva

Juan Lopez-Martin, Justin H. Phillips, and Andrew Gelman

• Multilevel Regression and Poststratification Case Studies

Juan Ramos Hernández, Grado en Administración y dirección de Empresas

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

Julia Silge and David Robinson

• Text Mining with R

Julian Unkel

• Computational Methods in der politischen Kommunikationsforschung

Julien Boelaert, Felix Lennert, Étienne Ollion

• Course script for SICSS Paris

Julien Colomb and Keisuke Sehara

• dealing with gin

Julio Arapa

• Programando en R

Julio Cesar dos Santos Vieira

• Mestrado Computação Aplicada - Bigdata Analitics 2022

Junghoon Shin

• Guide to Wise Investing

Jürgen Wilbert

• Analyzing Single-Case Data with R and Scan

jwlal1

• Cônicas e Superfícies Quádricas

jwtsai

• myblog - My Reading Logs
• The JW Tsai

Kamarul Imran, Wan Nor Arifin, Tengku Muhammad Hanis Tengku Mokhtar

• Data Analysis in Medicine and Health using R

Kan Lei

• A Collection of small Skills
• Kurse Notitzen
• Editable Distributed Hydrological Model

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

Katrina Hueniken

• Merging Discussion

Keilor Rojas-Jimenez

• Ciencia de Datos para Ciencias Naturales

kellobri.github.io

• Supplement to Shiny in Production

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• index.knit

Kennedy Huerta Tiburcio

• Programando en R y Rstudio

Kevin

• BS0005: One Health
• BS1005 / CM1051: Biochemistry I

Kevin Donovan

• Data Analysis and Processing with R based on IBIS data

Kevin Fo

• BS2010: Bioimaging
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• CM5003: From Alchemy to Chemistry

Kevin Morales

• On the Fruit of the Holy Spirit
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Kevin Ross

• STAT415 Handouts
• Applied Stochastic Processes
• GSB 518 Handouts
• STAT 350 Handouts
• GSB 518 Handouts
• An Introduction to Probability and Simulation
• Probability Handouts
• An Introduction to Bayesian Reasoning and Methods

Kevin the TA

• BS1009: the Extra Bits

Kevin, Kevin, and Kevin

• BS0004 Code Annotations

Kieran Healy

• Data Visualization

Kieran Marray (Tinbergen Institute)

• Introduction to R for Econometrics

kimeunseo

• KIM EUN SEO Quiz3

Kjell S Slupphaug

• An Introduction to Interaction Effects in SEMs using modsem

KLEVER CURAY

• Tecnicas de Limpieza y Calidad de Datos

Ko Chiu Yu

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

KP

• Data Science and Econometrics for NBA Analytics

kpsychozjum

• IV Ogólnopolska Konferencja Kół Nauk Psychologicznych Psychozjum

Krisstell

• Kriss Quarto

Kristin Hunter-Thomson and Jacoby Baker

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

Kristopher Pruitt

• Data Science in Action

KTU- CSE & Allied BoS

• Auxiliary Material- Mathematics for Computer and Information Sciences

KU Leuven Marketing department

• R for marketing students

kulasj

• Eagle I.O Website Playground

Kyle W. Brown

• R Gallery Book

Laura Lambert

• R Companion for Intermediate Stats

Laurent Gatto

• An Introduction to Machine Learning with R

Laurie Tupper

• Stat 344TM Notes: Spring 2024
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• Stat 140 Notes: Fall 2023
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• Notes of Analysis of Functional MRI

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

• Basic R Commands

Lele Shu (shulele@lzb.ac.cn)

• SHUD水文模型

Leonhard Held, with contributions from Charlotte Micheloud, Lisa Hofer, Stefanie von Felten, Samuel Pawel

• Clinical Biostatistics

Lex Comber

• GEOG3915 GeoComputation and Spatial Analysis practicals
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• GEOG5917 Big Data & Consumer Analytics - RStudio Practicals
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lgallegov1

• SPRO1.knit

Liam

• Cod Prediction

LIFE Pilica +

• Raport cykliczny

Lily Clements

• Calculation System

LiMingze

• Methodology of Social Science & International Relations

Lingxiao HE

• R数据分析入门

Lingyun Zhang

• R tips: 16 HOWTO’s with examples for data analysts

Lionel Henry

• Contributing to GNU R

Lisa Lechner

• Statistik Vorlesung

liubao

• R语言echarts4r中文手册

Liying Chen^{1,4}, Satwik Acharyya^{1,4}, Chunyu Luo^{2}, Yang Ni^3 and Veerabhadran Baladandayuthapani^{1,5}

• Supplementary Materials for Probabilistic Modeling Framework for Genomic Networks Incorporating Sample Heterogeneity

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• R-Shiny-Book.knit

Logan Kelly, Ph.D.

• R Practices for Learning Statistics

longrui

• Z’s Time

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

Lucas Nelson

• Innovation Handbook

Luis Alvarez

• Análisis Exploratorio de Datos y Visualización
• Exploratory Data Analysis and Visualization

Luis Anunciação (PUC-Rio), PhD

• Conceitos e análises estatísticas com R e JASP

Luis Eudave

• Fundamentos de Investigación II

Luis Francisco Gomez Lopez

• Solutions Calculus Vol 1 2th Edition

Luis Guerra, Elmer Oliveros, Roger Chauca

• A Vulnerability Prediction Analysis

M. Ignacia Vicuña - Cristian Vásquez

• Códigos Auditoría CCU

Mads Stenbo Nielsen

• Test of Bookdown
• Business Intelligence II, forår 2023: Anvendt Machine Learning
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Malte Grosser

• Tidyverse Cookbook

Malte Grosser, Henning Bumann & Hadley Wickham

• Advanced R Solutions

Manisha Munasinghe

• 2019 and 2020 Hybrid Maize x Teosinte Field Data

Manon Verjus and Yooby Gigandet

• Project in Data Analytics for Decision Making

Manuel Aragonés, Thalía Guerra, Roberto Sánchez and Mónica Zamudio

• Detecting collusion in goverment procurement contracts

Manuele Leonelli

• Simulation and Modelling to Understand Change

Marc Scott

• Multi-level Modeling: Nested and Longitudinal data
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Marco Garofalo

• heavy_quarks
• LIBE gm2
• g-2

Marco Ramos

• Guide R
• R markdown para abogados

Marcos V. C. Vital - LEQ-UFAL

• Meu log de leitura de R for Data Science

Marcos Vital, do Laboratório de Ecologia Quantitativa da UFAL

• R aplicado à Biologia: uma introdução descomplicada e divertida!

Marek Gagolewski

• Lightweight Machine Learning Classics with R

Maria Durban

• Regression Models

Maria Gallegos, Cal State University East Bay

• Fantastic Genes and Where to Find Them

Maria Gallegos, Cal State University, East Bay

• Fantastic Genes and Where to Find Them

María Victoria López

• Ejemplos para Pruebas de Comparación de Medias con R

Marina Wiebe

• Tank Guide

Mario Barenghi e Federico Pianzola

• La distopia. Modelli e momenti di una tradizione moderna

Marios Kokkodis

• Data Management for Analytics and Applications

Marios Kokkodis, George Wyner

• Data Management for Analytics and Applications

Marius Mather

• Rad: R for academics

Marius Mather (with tweaks by Rachel Visontay and Siobhan O’Dean)

• Matilda Intro to R Workshop

Mark Hoffman

• Introduction to Computational Social Science
• Methods for Network Analysis

Mark Lai

• Course Handouts for Bayesian Data Analysis Class

Mark Padgham and Noam Ross

• rOpenSci Statistical Software Peer Review

Mark R. Payne, John Pinnegar, Manja Kudahl, Georg Engelhardt

• Climate-related Risk to European Fish and Fisheries

Mark Sellors

• Field Guide to the R Ecosystem

Mark Trede

• Data Science 2
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• Lineare Algebra

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

• Targeted Learning in R

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• Economic Survey 2019-20

Markus Mößler

• Replication of The Cointegrated VAR Model

Marrow , Heartseeker-US

• Marrow’s Compendium of Dragonslaying

Marta Sestelo

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

Martin Monkman

• Data Analytics Coding Fundamentals
• The Data Preparation Journey
• Data Science with R: A Resource Compendium

Martin Pischtschan

• Skript Antriebsregelungstechnik
• Skript zum MAS Modul Servotechnik

Martin Rydén, Lund University, martin.ryden[at]med.lu.se

• ProteoMill

Martin Schedlbauer / Northeastern University / Ars Doceo

• Principles of Computational Information Science

Martin Schedlbauer Khoury College of Computer Sciences Northeastern University Boston (USA)

• Handbook for Building and Teaching Online Courses

Martin Shepperd

• CS5702 Modern Data Book

Martine Dolladille, Illustration : Agnès Kiefer

• Martine et la Start-Up

Martine Dolladille, Illustrator: Agnès Kiefer

• Martine and The Start-Up

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• Fatal Force Study Group - Shiny App

Math Down

• High School Math Competition

Matheus Amaral Mões, Marcelo Semerene Farah, Luísa Belus Henriques and Daniela de Góes N. Georg

• Exploratory Analysis Project

Mathias Harrer, Pim Cuijpers, Toshi A. Furukawa, David D. Ebert

• Doing Meta-Analysis in R
• Doing Meta-Analysis in R
• Thực hiện Phân tích gộp với R

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• _main.knit

Matias Andina

• Introducción a estadística con R

Matricula 43350 - Marcos A. Alves - Turma T04

• Disciplina BIG019 - BiG Data & Analytics

Matt Dobra

• Prelude to Econometrics Using R

Matthew Brown (website)

• R for Applied Economics: A Beginner’s Guide

Matthew Sharkey

• Building Web Applications with Shiny and SQL Server

Matthew Whalen

• How does R fit a linear model?
• Abracadabra Stats - Companion Book

Mau-Ting Lin

• Macroeconomics
• Economic Forum
• Data visualization

Max Kuhn and Julia Silge

• Tidy Modeling with R

Max Kuhn and Kjell Johnson

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

Max Ricciardelli

• Data Wrangling and Visualization Guide

maxime_debellefroid

• The Derivatives Academy

Maxine

• R for data science: tidyverse and beyond

Mediador e futuros engenheiros

• Controle de Processos

MedTech Foundation

• MedTech Foundation Spoke Guide

Megan Ruffle

• Practical 4 - Transforming variables and further examining model assumptions

Mehdi Rajeb (This CDM handout is originally developed by Dr. Wenchao Ma, and later adopted by Mehdi Rajeb)

• Handout for Cognitive Diagnosis Modeling

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• HIPPA data breach incidents

Melany Montero

• APUNTES R - PLE MELANY MONTERO

Melissa K Sharp

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

Melissa Tartari

• ECON 21020 Lecture Notes

MEng Student, Jamie Williams., MEng Student, Callum Robertson., PhD Student, Karla Gonzalez., Dr Massimiliano Manfren.

• Towards building stock decarbonisation: A streamlined algorithm for Measurement and Verification at scale.

Mengfei Cai

• Mengfei NeuroBook

Mercedes Vázquez Furelos, María Eugenia Mera Rivas, Jorge Herrera de la Cruz

• Grupo 0 Matemáticas

Mercedes Vázquez Furelos, María Eugenia Mera Rivas,Jorge Herrera de la Cruz

• Matemáticas 0 UCM, 2021/22

Meredith Brown

• Evaluating Geospatial and Temporal Trends in Payments to Primary Care Physicians in the United States

MG

• gm2_book

Miao YU

• Meta-Workflow
• Notes

Michael A. Rundel, et al.

• Physik Libre

Michael Armanious

• Men’s U-Sports Basketball Analysis

Michael Branion-Calles

• A Crash Course in Geographic Information Systems (GIS) using R

Michael C. Frank, Mika Braginsky, Daniel Yurovsky, and Virginia A. Marchman

• Variability and Consistency in Early Language Learning

Michael C. Wimberly

• Geographic Data Science with R: Visualizing and Analyzing Environmental Change

Michael Clark

• Practical Data Science
• Introduction to R Markdown
• Machine Learning

Michael Clark m-clark.github.io

• Clustered Data
• Graphical & Latent Variable Modeling
• An Introduction to Text Processing and Analysis with R
• Bayesian Basics
• Generalized Additive Models
• Mixed Models with R

Michael Clark m-clark.github.io Translator : 김설기

• R 로 하는 Mixed Model

Michael Foley

• Survey Design and Analysis
• Statistical Inference
• Supervised Machine Learning
• Survival Analysis in R
• Probability
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• Unsupervised Machine Learning
• Coding in R
• My Data Science Notes

Michael Freeman and Joel Ross

• Technical Foundations of Informatics

Michael Hewlett

• An Introduction to Web Analytics

Michael Levin, MD; Yoav Karpenshif, MD; Megan Burke, MD; and Frank E. Silvestry MD on behalf of the Penn Cardiology Fellowship program

• COVID-19 Resources for Penn Cardiologists

Michael Mahoney

• Introduction to Data Exploration and Analysis with R

Michael Wu

• TIES Measurement Report Automation Project

Michela Cameletti

• Statistics and Probability for Economics and Finance - 2022/23
• AI and Machine Learning For Finance 2022/23
• Statistica Applicata per la Finanza - 2022/23
• R Crash Course (for EF students) - 2022/23
• AI and Machine Learning For Finance 2021/22
• Coding for Data Science 2021/22 - R part
• Statistica Applicata per la Finanza - 2021/22
• Machine Learning for Economics 2020/21: R labs
• R Coding for Data Science - 2020/21
• Statistica Applicata per la Finanza - 2020/21

Michela Cameletti and Raffaele Argiento

• Probability and Statistics for Business and Finance - 2021/22

Mika Braginsky, Daniel Yurovsky, Virginia Marchman, Michael Frank

• Wordbank: Language acquisition at scale

Mike Lyons

• COVID Data Analysis

Mike Nguyen

• A Guide on Data Analysis
• Marketing Research
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Mike X.

• Applet Codebook: NIMH KSADS v0.28
• Applet Codebook: CA Partners Daily MindLogger Diary v0.1
• Applet Codebook: HBN EMA for Mindlogger v0.32
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Mine Çetinkaya-Rundel and Johanna Hardin, tuned by Gregory Cox

• Modern Statistical Methods for Psychology

minseo

• A Minimal Book Example_minseo

minseo_

• michaela_rmarkdown

Minsun Yoo

• Bookdown Quiz

Mishek Thapa

• Characterizing Disease with the Retinal Code

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• mixOmics vignette

Mohamed Kassem

• Data Visualization with PowerBI

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

Mohammad Saifuddin

• Statistics and Probability for Engineering

Mohammad Shamim Hasan Mandal

• R: বাংলায় পরচিতি

Morley J Weston

• MCM4TM

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• Data Analysis and Visualization for Communication Science

Morten Søby Willendrup

• My Final College Paper

multiple

• Krisenmanagement Buch

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• Épidémiologie et statistiques (B1.5 MSC)

mwheymans

• Book_MI.knit

Myo Minn Oo, MD, PhD

• Data Management Using R

Naim Çınar

• Scenarios for the Future: The Classroom’s Perspective

Name and Surname

• Title of The Web Page

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• Machine Learning for Imbalanced Datasets

Nana Kim

• [EPSY5221] Introduction to R
• Introduction to R
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Nandini Dendukuri, McGill University

• EXMD 634: Introduction to Quantitative Methods in Experimental Medicine

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• BASIC STATISTICS
• TLTE-889 Project
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• University of Utah
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• Design and Analysis of Experiments and Observational Studies using R

Nathaniel D. Phillips

• YaRrr! The Pirate’s Guide to R

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• ISTA 321 - Data Mining

Nicholas Occhipinti, Karyn Cook, Ziyin Liu

• DSBA-5122 Final Project

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• Discovering Structural Equation Modeling Using Stata R, the Tidyverse, and Lavaan

Nicholas Tierney

• RMarkdown for Scientists

Nicolas Gaussel

• Practice and theory of financial markets

Nicolas Roelandt

• R for Geospatial Processing

Nicolas Städler

• Prediction and Feature Assessment

Nicolle Berrospi

• PROGRAMACIÒN

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• R, Not the Best Practices

Norah Jones

• Programando de Python a R studio

Nour Barnat, Diana Camerini, Petra Kynclova, Cloe Schaub

• Inclusive Growth Index - Methodology

Novia Permatasari

• Documentary of Statistics Using R

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• Covid Analysis

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• 国内任天堂 Switch 使用情况与玩家需求调查报告

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orca

• Otago Marine Core Sediment Facility MPI Transitional Facility Manaual for Holding and Processing Uncleared Risk Goods

Oscar Baruffa

• Big Book of R

Oscar Baruffa, Veerle van Son

• Twitter for R programmers

Oscar Duarte & Luis Gallego

• Componente G - ENEL

Oscar González Frutos

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Ozancan Ozdemir

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Pablo Arés, Jorge Herrera

• Fundamentos de Minería de Datos y Big Data (I) y (II)

Pablo Casas

• Data Science Live Book

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Pacific Salmon Foundation

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Pastor Panda (Vice Chancellor)

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Patricio Araneda

• Base de Datos

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paul

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Paúl Bravo L. & Francisco Salgado C.

• Introducción a R y SIG

Paul C. Bauer

• Applied Data Visualization
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Paul C. Bauer & Jonas Lieth

• Workshop: Interactive Data Analysis with Shiny

Paul D. Sonkin

• Sentiment Analysis of 49 years of Warren Buffett’s Letters to Shareholders of Berkshire Hathaway

Paul Langard

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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

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Perry Stephenson

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Pete Apicella

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Peter

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• Notes on Statistics with R (SwR)
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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

• Distribution Theory
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Peter K. Dunn and Margaret Marshman

• The Data Files

Peter Lupu and Arthur Small

• The Social Covenant

Peter Olejua

• Notas sobre Estimación Puntual

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Petra Kynclova

• Gender-in-trade indicators
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Peyman Kor

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

Pierangelo DePace and Augusto Gonzalez Bonorino

• ECON 381: Statistics and Probability for Econometrics

Pinho Júnior

• Como Começar na Calistenia - Guia Prático

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Piotr Fryzlewicz

• Deep Learning in R: A Data-Analytic Viewpoint

Pleuni Pennings and Kevin Magnaye

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Porlles Castillo Sharif Snyder

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Prof. Dr. Ryan Riordan & Teaching Assistants

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• Fundamentos de Ecologia Numérica
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Prof. Marcelo Chaves de Jesus

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• MLFE R labs (2023 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

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Quang Nguyen Data Science Capstone Spring 2020

• The 3-Season Run That Immortalized Russell Westbrook and the Title “Walking Triple-Double”

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Rachael Carey

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Rafael A. Irizarry

• Introduction to Data Science

Rafael Xukuru Kariri

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Raghvendra Jain

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Rami Krispin, Amanda Dobbyn, Jarrett Byrnes

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• R Essentials for Six Sigma Analytics

Ramzi W. Nahhas

• Introduction to Regression Methods for Public Health Using R
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何志坚

• 数理统计讲义

吳榮彬

• _main.knit

国里愛彦(専修大学)・竹林由武(福島県立医科大学)

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國立臺北大學 林茂廷老師

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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

广予

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广州大学社会学系2020级创新班、黄国政

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施旸 Yvette

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曾意儒 Yi-Ju Tseng

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李喻骏

• R语言：从基础到进阶

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）
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• 網頁入門
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• Shiny (I)

汪文祥 邢金璋 等著

• CPU设计实战：LoongArch版

潘薇

• A Research about the Employee’s Motivation for Knowledge Sharing and Employee Creativity

牧羽尘

• 实验品一号

王 超辰 Chaochen Wang

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王敏杰

• 数据科学中的 R 语言
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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

稻年

• 交换代数与代数几何
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• 纤维丛

红领巾

• Cracking The First Year Exam

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

胡传鹏

• R语言在心理学研究中的应用: 从原始数据到可重复的论文手稿(V2)
• R语言在心理学研究中的应用: 从原始数据到可重复的论文手稿

胡传鹏(等)

• R语言在心理学研究中的应用: 从原始数据到可重复的论文手稿(V2)

胡煦

• 释放潜能：社会责任投资助力乡村振兴

芝田 征司

• jamovi完全攻略ガイド
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蔡國梁

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谢益辉, 肖楠, 坑主三, 坑主四

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赵鹏, 谢益辉, 黄湘云

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邱睿

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郭耀仁

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酒井 優行

• 2023年度：データサイエンス 第6回
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酒井　優行

• 2023年度データサイエンス　期末レポート
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黄国政、黄婉岚、肖奕、李晓琳、林彦捷、朱雨彤

• 官方媒体话语下的民族主义形成机制——基于Amos的实证分析

黄湘云

• 现代应用统计
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黄湘云 & 叶 飞

• Elegant Bookdown Template