List of books by authors

• Chapter II
• Advanced Statistics I & II
• ABC en R
• Uvod u R i RStudio
• Técnicas de Análisis de Datos Económicos con R
• Uvod u R i R Studio
• 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
• 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
• 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
• Doing Bayesian Data Analysis in brms and the tidyverse
• Statistical Rethinking with brms, ggplot2, and the tidyverse

A. Bradley Duthie

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

A. Solomon Kurz

• Doing Bayesian Data Analysis in brms and the tidyverse

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

Aboubacar HEMA

• WFP Chad CBA data preparation

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 R

ael

• Exploration de données avec R

Aep Hidayatuloh

• Buku Visualisasi Data yang Efektif

ahmadouniass2

• Prise en main du package Bookdown
• ARCHIVAGE DES DONNEES
• Atlas interactif des dynamiques environnementales en Afrique de l’Ouest

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

Alexander Sharp

• STAT 521B: Topics in Multivariate Analysis

Alexandre Jaloto

• Treinamento COMP
• Teste de progresso

Alexandre Obert

• Les modèles linéaires mixtes : un (pas-tout-à-fait-)juste milieu entre théorie et pratique

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

amertens

• Targeted Learning for Real-World Evidence
• IMiC supplementary material

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

Andreas Mändle

• Quantitative Methoden

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 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
• Machine Learning for Biostatistics
• Resampling method

Armando Teixeira-Pinto & Jaroslaw Harezlak

• Machine Learning for Biostatistics

Armando Teixeira-Pinto, Jaroslaw Harezlak & Andrew Grant

• 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

atesurvey

• ATE Survey 2025
• ATE Survey Report 2024
• ATE Survey Report 2023
• ATE Survey Report 2022
• ATE Survey Report 2021

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

Author: Stefan Leach Contact: s.leach1@lancaster.ac.uk

• Data Analysis in R
• Text Analysis in R

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

Awa D

• Projet-ADD1.knit
• GTSUMMARYBook.knit

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

• Analysis and Predictive Modeling
• Linear Algebra

Bakti Siregar, M.Sc., CDS.

• Calculus and Its Applications
• Introduction to Statistics
• Fundamentals of Applied Mathematics

Bakti Siregar, M.Sc.,CDS

• Advanced Data Science Programming
• Data Science Programming
• Matematika Teknik
• Sampling and Survey Techniques
• 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). Extension material.

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

• 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

Bianca Sosnovski

• Introduction to Statistics: Excel Lab Manual

Bingwei Liu

• AWS Tutorial

birderboone

• Matts Baking Cook Book

Blake Reynolds

• PS 811 Website

Błażej Kochański

• Statistics 1
• Ekonometria finansowa
• Statistics 2. Lecture notes
• Statystyka 2. Skrypt
• Statystyka 1 - skrypt
• Modele scoringowe
• 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 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

By: Jessica Leathe

• Jess’s Cookbook

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

Carlos Hidalgo Garrido

• INTRODUCCIÓN A LA ECONOMETRÍA

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

Chad Heilig

• Data in the MMWR
• A culture for doing good things with data

Chaeeun Song

• Review and Homework for Programming for Educational Research

Charles Coverdale

• R cookbook for the casual dabbler

Charles Dolladille

• Grimoire Pharmaquest
• 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
• R 語言資料分析：交通運輸

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 A. Martinez

• Linear Regression: Predicting Pizza Sales

Christian Omuto, Geoffrey Heinrich, Liesl Wiese, Fatunbi Oluwole, David Nielson

• Optimizing Soil Health and Water Management in Africa

Christian Omuto, Liesl Wiese, Fatunbi Oluwole, David Nielson

• Soil Health and Climate Change in Africa

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

Cormac Harten

• Residential Credit in Australia - An Addendum to Job Application

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

• From Questions to Knowledge: Data Analysis for Psychology and Behavioural Science using R

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 Dalpiaz

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

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John Coene

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• Technical Communication for the Social, Behavioral, and Management Sciences

John Lawson

• An Introduction to Acceptance Sampling and SPC with R

John Stone

• Companion to Stock and Watson’s Intro to Econometrics

Johnny van Doorn

• A Brief Introduction to Bayesian Inference

johnson_adam_p

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• Mapping Workshop

Jonathan Leslie, Neri Van Otten

• Designing and Building Data Science Solutions

Jonathan Nitzan and Shimshon Bichler

• CAPITAL AS POWER

Jonathan Weisberg

• Odds & Ends

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• Data Science and Visualizations with R

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Jordan D. Snyder, Psy.D.

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• Notas para Matemáticas II, UCM Somosaguas
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• Data Visualization Design Project

Joshua Halls

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• Understanding Work With Data in Summer STEM Programs Through An Experience Sampling Method Approach
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• Guide R
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Mark Padgham and Noam Ross

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

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Հեղինակներ՝ Արմեն Համբարյան, Վարդան Անատոմյան։

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• Elegant Bookdown Template