List of books by authors

• 1 Introdução | VisaoGeral.utf8
• Orchestrating Single-Cell Analysis with Bioconductor
• bookdown-demo.utf8
• Statistical Thinking for the 21st Century | statsthinking21

805

• 环境黑板报

@kazutan

• ggplot2逆引き集

A Solomon Kurz

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

Ace Mark Acebedo

• Knowing the KPI Trend Without Seeing the Chart

Aep Hidayatuloh

• Pengantar Pemrograman R dan RStudio
• Draft: Aplikasi Analisis Data untuk Bisnis

Alberto Brunete, Pablo San Segundo y Rebeca Herrero

• Introducción a la Automática

Alejandro Quintela del Rio

• Estadística Básica Edulcorada

Aleksander Dietrichson, PhD

• Métodos Cuantitativos

Alessio Crippa

• Novel methods for dose–response meta-analysis

Alex Hallam

• Simulation And The James-Stein Estimator In R

Alfonso Meléndez

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

Alfonso R. Reyes

• A Minimal rTorch Tutorial

Alfredo E. Gonzalez

• Alfredo’s Laboratory Notebook

Alfredo Enrique Gonzalez

• Alfredo’s Laboratory Notebook

All materials of this book are based on ECON 252: Financial Markets (2011) taught by Professor Robert Shiller, available on Open Yale Courses. For non-commercial research or study only.

• Financial Markets

Altuna Akalin

• Computational Genomics with R

Amarin Siripanich

• The dymiumCore package

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

Anastasia Ushakova and Emma Waterston

• PPLS PhD Training Workshop: Statistics and R

Anastasia Ushakova and Milan Valasek

• PhD Training Workshop: Statistics in R

Andres Suárez Mediavilla

• LCC 2020 Book

Andrew Clark

• Premier League Annual
• useR2016 Conference Videos

Andrew Clark and Joshua Kunst

• Chess Encounters

Andrew Kniss & Jens Streibig

• Statistical Analysis of Agricultural Experiments using R

André Calero Valdez

• Computational Communication Science mit R

Andrés Gutiérrez

• Muestreo y análisis de estudios educacionales con R

Andrés Mañas Mañas

• Capítulo 2 Agradecimientos | Notas sobre pronóstico del flujo de tráfico en la ciudad de Madrid

Andy MacLachlan and Adam Dennett

• CASA0005 Geographic Information Systems and Science

Anouar El Ghouch

• Exploration de données avec R

Anshul Kumar

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

Anthony Clairmont, Daniel Katz, Mike Wilton

• Measuring what Matters: Introduction to Rasch Analysis in R

Anthony Schmidt

• Causal Inference in Education

Aplicación por: Jeysson Chuquin, Wagner Salazar

• MANUAL PARA LA APLICACIÓN DE INDICADORES DE PRODUCCIÓN CIENTÍFICA EN EL ECUADOR ASOCIADO A SCOPUS

Are Edvardsen, SKDE

• Lokal lagring og bruk av sensitive data

Armando Teixeira-Pinto

• Machine Learning for Biostatistics

Arredondo Sánchez Andrea Elizabeth, Vargas Mendoza Ana Luisa

• Bookdown

Arturo Chian

• The Art of Finance: Theory, Practice & Fiction

Associação Brasileira de Jurimetria

• ABJ Syllabus

Austria

• Growth in times of Coronavirus

Austrian Economic Committee

• Austrian Long Term Growth Report

Authors: The RIPLRT

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

Autor: Mg. Daniel Paredes Inilupu

• Data Science con R

Axel-Cleris Gailloty

• Overview of suicide in the world

B. Depaire

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

Bakti Siregar S.Si, M.Sc

• Data Scientist Handbook

Beckett Stephens

• The Final War

Ben Gonzalez

• PostgreSQL Explained for R-Users and R-Programmers

Berry Boessenkool, berry-b@gmx.de

• 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

Brad Collette 著，曲政 译

• 请 Inventor 用 FreeCAD

Bradley Boehmke & Brandon Greenwell

• Hands-On Machine Learning with R

Brendan R. E. Ansell @ansellbr3

• Introduction to R - tidyverse

Brian O’Meara

• Comparative Methods

Brooke Anderson

• Data Visualization in R

Bruno Rodrigues

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

Bryan Fernandez Camacho

• Anemia en madres

Brynjólfur Gauti Jónsson

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

Brynjólfur gauti Jónsson

• Móðir og Barn

Burak AYDIN, James ALGINA, Walter LEITE, Hakan ATILGAN

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

By: Alfredo Enrique Gonzalez

• Boutros Laboratory Notebook

Callum Arnold

• A Guide to Reproducible Research

Carlos Alcalá

• From my lovers and others. (Letters from 2013-2014)

Carson Sievert

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

chen

• Applied Social Network Analysis in Education

Cheng-Chung Li

• R語言套件之道

Chester Ismay

• Getting used to R, RStudio, and R Markdown

Chester Ismay and Albert Y. Kim

• Statistical Inference via Data Science

Chester Ismay and Albert Y. Kim STARRING FRANK MCGRADE

• ModernDive

Chester Ismay, Albert Y. Kim, and Chris Teplovs

• Statistical Inference via Data Science

Chiayi Yen

• Data Visualization Project

Chris Brown, Murray Cadzow, Paula A Martinez, Rhydwyn McGuire, David Neuzerling, David Wilkinson, Saras Windecker

• Github actions with R

Chris Qi from Data Maniac

• R 语言入门，给一心只有学习的你

Chris Sutherland

• Study design for spatial capture-recapture

Christian Nilsen, Geosyntec Consultants, Inc., Emily Howe, The Nature Conservancy, Jamie Robertson, The Nature Conservancy

• Stormwater Heatmap Technical Reference

Christoph Hanck, Martin Arnold, Alexander Gerber and Martin Schmelzer

• Introduction to Econometrics with R

Christoph Molnar

• Interpretable Machine Learning

Chunji Wang

• Selected Solutions to R4DS Exercises

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

• Proyecto Final: Suicidios en México y EU

Claire Della Vedova, pour Data Value

• Module Initiation

Claus O. Wilke

• Fundamentals of Data Visualization

Clement Lefevre

• Uber Movement dataset : playing with spatial data

Colin Fay, Sébastien Rochette, Vincent Guyader, Cervan Girard

• Engineering Production-Grade Shiny Apps

Colin Gillespie, Robin Lovelace

• Efficient R programming

Colin Quirk

• Let’s Explore Statistics

Conor I. Anderson and Karen L. Smith

• Climate Change Impact Assessment: A practical walk through

Constantin Colonescu

• Principles of Econometrics with R

content

• Réalisation de Mini Projets R

Corey Pembleton

• R for Surveys in Evaluation

Cristóbal Moya

• Basic Social Justice Orientations scale testing

Daisaku Ikeda

• Đức Phật Trong Ba lô

Daniel Instebø og Sveinung Arnesen

• DEMOVATE Survey 2020

Daniel J Carter

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

Daniel Sirlupu

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

Danielle J Navarro & Dvid R Foxcroft（著） 芝田征司（訳）

• jamoviで学ぶ心理統計

Danna Cruz

• Aprendizaje automático de datos Colombianos (Machine Learning)

Darrin Speegle

• Foundations of Statistics with R

Davi Moreira

• Text as Data para Ciências Sociais

David 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

Daxue Consulting

• Brief introduction to Statistic

Deanna Li

• Basic R Guide for NSC Statistics

Dena J. Clink

• BioNBB 2210 Summer 2020 Computer Labs

Department of Psychology, University of Edinburgh

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

Derek Corcoran

• Manipulación de datos e investigación reproducible en R

Didzis Elferts

• Praktiskā biometrija

Director: Thea Knowles, PhD

• CASA Lab Coding for Speech Group

DJ Navarro

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

Dmitry Gorodnichy

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

Dr. Buddini Ekanayake & Dr. David Fong

• A Appendix A - SQL code | Cervical Screening - telephone-based recall (2019)

Dr. David Reinstein, University of Exeter, main web page, innovationsinfundraising.org, Twitter: givingtools

• Researching and writing for Economics students

Dr. Taleed El-Sabawi

• Property Class Spring 2020

Dr.Thunder, Ming, Youcai

• 液体活检口袋书

Duncan Garmonsway

• Spreadsheet Munging Strategies

Dwight Barry

• Do not use averages with Likert scale data

Dylan Z. Childs

• APS 135: Introduction to Exploratory Data Analysis with R

E. Hinman

• LDC Walk Through

E.Major Taiwan

• UI-UX

Eagle I-O

• MSU I-O Student Mentorship Program User Manual

Eagle I.O

• Eagle I.O Consultant Manual
• Eagle I.O Consultant Guidelines

Earo Wang

• Tidy tools for supporting fluent workflow in temporal data analysis

Ed Anderson

• Applications of Multivariate Analysis in Business
• R Studio: A 3D Printer for Business Analytics

Editor: Sam Tyner, Ph.D.

• Open Forensic Science in R

Eduardo García Portugués

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

Edward J. Xu

• MatrixOptim
• TidySimStat

Edwin Thoen

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

Ekarin E. Pongpipat, Giuseppe G. Miranda, & Matthew J. Kmiecik

• A Practical Extension of Introductory Statistics in Psychology using R

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

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

Elise Hinman

• tmdlTools Guide

Ellis Valentiner

• CookDown

Eric van Holm, PhD

• Introduction to Quantitative Methods in 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 Measurement - University of Tennessee, Knoxville

• R Handbook for ESM Students

Ewen Harrison and Riinu Pius

• HealthyR: R for health data analysis

exampatutor

• ExamPA.net Overview

eythorbj

• Egils saga Skalla-Grímssonar

Eyþór Björnsson

• Föll í R - Dæmi

Felipe Ferré

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

Felix E. Rivera-Mariani, PhD

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

Fernando Izco

• Base de datos corporativa de personas

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

• Escritura de libros con bookdown

Ferrologic

• Kursmaterial till Certifierad Data Scientist

Filip Wastberg

• R och Demoskop

Filip Wästberg

• Introduction to R

Florian Privé

• Advanced R Course

Fousseynou Bah

• Data Science avec R
• Chapitre 4 Importer des données dans R | Data Science avec R

Francisco Parra

• 7 Agrupación de la información | Estadística y Machine Learning con R

François Rebaudo

• Aprender R: iniciación y perfeccionamiento
• R pour les scientifiques : Mise en œuvre de projets et valorisation des résultats

Gabriel Butler UCLA Global Classroom

• ECON 41 Labs

Gabriel Carrasco

• EMMERG Spatial
• Causal Inference
• RSCD - JR
• VDOT_GIS

Gabriel Carrasco Escobar

• FMPH291 Assignment 1

Gabriel Carrasco-Escobar

• NL and Malaria in Venezuela
• Nighttime Lights and Malaria in the Peruvian Amazon

Gabriel Muñoz

• Literature thesis: Building a framework for retrieving information on multispecies interactions from published literature
• Advances on the analysis on connectivity of Raphia taedigera palm swamps for Central America
• Data lunch 2feb: The use of Bookdown to write documents and reports

Gabriela Costa, Laura Kubtischek, Maria Luisa Gomes, Matheus Gonzaga, Vitor Batista

• Introdução ao R para alunos de ciências exatas

Ganesh Viswanathan and Roma Dutta

• Grand Slam Heroes

Garrett Grolemund

• Hands-On Programming with R

Garrett Grolemund, Hadley Wickham

• R for Data Science

Gaston Sanchez Chitra Venkatesh

• Handling Strings with R

gdito

• Praktikum Komputasi Statistika

Georg Zachmann

• An approach to identify the sources of low-carbon growth for Europe

Georg Zachmann, Bruegel gz@bruegel.org, Robert Kalcik, Bruegel robert.kalcik@bruegel.org

• An approach to identify the sources of low-carbon growth for Europe

Giles Knight

• 3 Chicken Chicken Chicken | Chicken Chicken Chicken: Chicken Chicken

Giorgio Boccardo Bosoni y Felipe Ruiz Bruzzone

• RStudio para Estadística Descriptiva en Ciencias Sociales

Goran Kardum

• Literatura

gorodnichy

• Bilingual Christmas songs
• «Two Lives» by Concordia Antarova

Granát Marcell

• A születési mutatók alakulása és az azt kísérő változások Magyarországon

Greg Wilson

• The Tidynomicon

Grupo SAE - USTA

• Estimacdiión en dominios pequeños

Gruppe B2-19, Ronni Carlsen, Mads Corfixen, Thomas Heede, Christian F. P. Nielsen, Magnus Olesen

• P2 - Simulering af Data

Gökmen Altay

• Reproducible Miracle

Hadley Wickham

• Advanced R

Hadley Wickham, Jennifer Bryan

• R Packages

Hadrien@rstudio.com

• How to Build a Shiny Application from Scratch

Hank Jenkins-Smith, Joseph Ripberger, Gary Copeland, Matthew Nowlin, Tyler Hughes, Aaron Fister, Wesley Wehde, and Josie Davis

• Quantitative Research Methods for Political Science, Public Policy and Public Administration: 4th Edition With Applications in R

Hans van der Zwan

• Data Analytics

Hansjörg Neth

• Data Science for Psychologists

Heejun Lee

• R Basics

Henrik Eckermann

• DondeRs Group

Hiroaki Yutani

• Practical R Package Development (Japanese)

Hochia

• Chinese Chess in R

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

• Big Data and Social Science

Ian K Salter

• DJing to Dolphins
• Ian and Molly’s Odyssey

ill-identified

• 三國志で学ぶデータ分析 (Japan.R 2019)

Industrial and Organizational Program Faculty

• MSU PhD Roles and Policy Manual

Integrated Report Team

• R Installation Guide

iqss.github.io

• Math Prefresher for Political Scientists

Isabel Molina Peralta and Eduardo García Portugués

• A First Course on Statistical Inference

J.W.Biggs

• Thucydides the Neorealist?
• Introduction to Digital Currency

Jacob Kaplan

• Crime by the Numbers

Jade Benjamin-Chung et al.

• Supplement to Longitudinal analysis of early childhood stunting in low-resource settings

Jake Esprabens, Ari Arango, Joshua Kim

• Time Series for Beginners

Jake Vander Laan (jvander@utah.gov), Elise Hinman, & Emilie Flemer, Utah Division of Water Quality

• Utah DWQ’s irTools R package: An automated approach to state-wide water quality assessment

Jake Vander Laan (jvander@utah.gov), Utah Division of Water Quality

• GSL causeway and salinity
• GSL salinity dashboard analyses

Jake Vander Laan, Elise Hinman, & Emilie Flemer, Utah Division of Water Quality

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

Jake Vander Laan, Utah Division of Water Quality

• Great Salt Lake Nutrient Analyses - figures only
• Utah TDS wqTools vignette

Jakub Nowosad

• Geostatystyka w R

James (JD) Long, Paul Teetor

• R Cookbook, 2nd Edition

James Craig

• Introduction to tidyvpc

Jan de Leeuw

• Block Relaxation Methods in Statistics

Jan de Leeuw, Masanao Yajima

• APL in R

Jan de Leeuw, Patrick Mair, Patrick Groenen

• Multivariate Analysis with Optimal Scaling

janengelstaedter

• BIOL3360 - Analysis and Communication of Biological Data:

Javier Luraschi, Kevin Kuo, Edgar Ruiz

• Mastering Spark with R

Jeanette Mumford

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

Jeff Webb

• Course Notes for IS 6489, Statistics and Predictive Analytics

Jeffrey B. Arnold

• R for Data Science: Exercise Solutions

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

• Introduction to R

Jennifer Bryan, Jim Hester

• What They Forgot to Teach You About R

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

• The Hitchhiker’s Guide to the tlverse

Jeremy Levesley

• Chapter 4 Applications | Calculus and Analysis
• MA1014: Calculus and Analysis

Jeroen Janssens

• Data Science at the Command Line

Jesper Wittrup

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

Jess L

• All About Rachel

Jess Li

• Quarantine Notebook

Jim Grange

• Grange-Lab Manual

Jizhou Kang

• STAT 7: Discussion Section Materials

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

• Arboles de decision y Random Forest
• HPC con R para Investigadores

John Coene

• The twinetverse

John Lawson

• An Introduction to Acceptance Sampling and SPC with R

Jolene Quek

• Comparing Social Dynamics of a Rental and Purchased Block

Jonas Rafi

• The jamovi quickstart guide
• jamoviguiden

Jonathan Weisberg

• Odds & Ends

Jonathan Wong

• Data Science and Visualizations with R

Jordan T. Bates

• Notes on R for AML100

Jordi Mas Elias

• Planeta Dagobah

Jorge N. Tendeiro

• IRT (GMMSGE01): Parametric IRT (dichotomous data)

Josep Espasa Reig

• (Very) basic steps to weight a survey sample

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

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

Joshua & Catrin

• RAP Guide for ONS

Joshua Ganz, Julian Mucha & Eric Rwabuhihi

• Data Visualization Design Project

Joshua Halls

• QA of Code

Joshua M. Rosenberg

• Understanding Work With Data in Summer STEM Programs Through An Experience Sampling Method Approach
• Data Science in Educational Research

josiesmith

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

Jozef Hajnala

• Using Spark from R for performance with arbitrary code

Juan Bosco Mendoza Vega

• R para principiantes

Juan Ramos Hernández, Grado en Administración y dirección de Empresas

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

Julia Silge and David Robinson

• Text Mining with R

Julian Unkel

• Computational Methods in der politischen Kommunikationsforschung

Julie Legler and Paul Roback

• Broadening Your Statistical Horizons

Julien Colomb and Keisuke Sehara

• dealing with gin

Jumping Rivers

• Visualisation with Python

Jürgen Gruber

• Data Science für Klein- und Mittelbetriebe

Jürgen Wilbert

• Analyzing single-case data with R and scan

karepin13

• 3 Dashboard for students | LASI 2019 - Visualization meets Learning Analytics

Karla Panchuk, Steven Earle, and contributors (GitHub/bookdown version maintained by Dewey Dunnington)

• Physical Geology

Katarina Domijan, Catherine Hurley

• Notes for ST463/ST683 Linear Models 1

kellobri.github.io

• Supplement to Shiny in Production

Kevin Donovan

• Data Analysis and Processing with R based on IBIS data

Kevin Morales

• On the Fruit of the Holy Spirit
• Accessible Web Development

Kevin Ross

• An Introduction to Probability and Simulation

Kieran Healy

• Data Visualization

Kim-Anh Le Cao1, Sebastien Dejean2, Al J Abadi3

• mixOmics vignette

Kirthana S

• Statistics Cookbook

Ko Chiu Yu

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

Kostas Gemenis & Bastiaan Bruinsma

• Chapter 3 Background | Quantitative Text Analysis

Kristin Hunter-Thomson and Jacoby Baker

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

KU Leuven Marketing department

• R for marketing students

Leah Kemp, Primary Supervisor: Peter Ritchie, Victoria University of Wellington, Secondary Supervisor: Maren Wellenreuther, Plant and Food Research

• Abstract | A first investigation into the evolutionary relationships, population structure and demographic history of New Zealand Trevally (Pseudocaranx georgianus) and its implications for fisheries management

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

• Basic R Commands

Leo Van | 范叶亮

• TensorFlow 学习笔记

Liam

• Cod Prediction

Lingyun Zhang

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

Lionel Henry

• Contributing to GNU R

Lionel Henry, Hadley Wickham

• Tidy evaluation

Lisa Lechner

• Statistik Vorlesung

Lorena A. Barba, Lecia J. Barker, Douglas S. Blank, Jed Brown, Allen B. Downey, Timothy George, Lindsey J. Heagy, Kyle T. Mandli, Jason K. Moore, David Lippert, Kyle E. Niemeyer, Ryan R. Watkins, Richard H. West, Elizabeth Wickes, Carol Willing, and Michael Zingale

• Teaching and Learning with Jupyter

M. Edward (Ed) Borasky

• Mastering DFS Analytics

M. Rolland

• Sepages data pre-processing guide

Malte Grosser

• Tidyverse Cookbook

Malte Grosser, Henning Bumann & Hadley Wickham

• Advanced R Solutions

Manuel Aragonés, Thalía Guerra, Roberto Sánchez and Mónica Zamudio

• Detecting collusion in goverment procurement contracts

Marc A.T. Teunis, PhD

• Exploratory Data Analysis or ‘Data Mining’

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

Marina Wiebe

• Tank Guide

Marius Mather

• Rad: R for academics

Mark Hoffman

• Methods for Network Analysis

Mark Hoffman and Tyler McDaniel

• Introduction to Computational Social Science

Mark Lai

• Course Handouts for Bayesian Data Analysis Class
• Monte Carlo Simulation Examples

Mark Niemann-Ross

• Stupid Machine

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

markbneal

• Economic Survey 2018-19

Marrow , Heartseeker-US

• Marrow’s Compendium of Dragonslaying

Marta Sestelo

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

Martin Monkman

• Data Science with R: A Resource Compendium

Martin Pischtschan

• Skript zum MAS Modul Servotechnik

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 Schmettow

• New statistics for the design researcher

marwaelatrache

• Fatal Force Study Group - Shiny App

María Teresa Ortiz, Felipe González

• Estadística Multivariada

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, M.Sc.¹, Prof. Dr. Pim Cuijpers², Prof. Dr. Toshi A. Furukawa³, Assoc. Prof. Dr. David D. Ebert²

• Doing Meta-Analysis in R

Matias Andina

• Introducción a estadística con R

Matthew Sharkey

• Building Web Applications with Shiny and SQL Server

Mau-Ting Lin

• Macroeconomics
• Economic Forum
• Data visualization

Max Kuhn and Kjell Johnson

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

Maxine

• R for data science: tidyverse and beyond

Melissa K Sharp

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

Miao YU

• Meta-Workflow
• Notes

Michael A. Rundel, et al.

• Physik Libre

Michael Armanious

• Men’s U-Sports Basketball Analysis

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

• Variability and Consistency in Early Language Learning

Michael Clark

• Data Processing & Visualization
• Introduction to R Markdown
• Machine Learning
• Generalized Additive Models
• Mixed Models in R
• Bayesian Basics

Michael Clark m-clark.github.io

• Clustered Data
• Graphical & Latent Variable Modeling
• An Introduction to Text Processing and Analysis with R

Michael Freeman and Joel Ross

• Technical Foundations of Informatics

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

Mike X.

• Applet Codebook: NIMH KSADS v0.28
• Applet Codebook: HBN EMA for Mindlogger v0.30
• Applet Codebook: NIMH EMA for Mindlogger v0.27

Mishek Thapa

• Characterizing Disease with the Retinal Code

Mohammad Rosidi

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

multiple

• Krisenmanagement Buch

mwheymans

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• The Open Quant Live Book

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• Estadística Aplicada con R

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Paul C. Bauer

• GESIS Workshop: Applied Data Visualization
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Paul C. Bauer & Richard Traunmüller

• Interactive Data Visualization (2nd Day)

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Paul Oldham, Stephen Hall, Colin Barnes, Catherine Oldham, Mark Cutter, Natasha Burns, Leonie Kindness

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Peter Baumgartner, Sabine Payr

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Roger D. Peng and Elizabeth Matsui

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