Websites, domains, hosts that links to cran.r-project.org

In which I explain things interesting, remarkable or silly.

Data + Analytics

One guy's educational journey through statistics, R, and machine learning

Dr. Andreas M. Brandmaier's scientific portfolio. Computer and Data Science in Lifespan Psychology.

I write about applications of data and analytical techniques like statistical modelling and simulation to real-world situations. I show how to access and use data, and provide examples of analytical products and the code that produced them.

Insightful R Blog

Blog sobre Excel, Access, VBA, analisis de datos, visualizacion, tutorial, hojas de cálculo, bases de datos, R, estadística, tablas dinámicas

Getting Genetics Done (GGD) is a blog with tips, reviews, tutorials, and pointers to relevant literature in genetics and bioinformatics research.

A place to become data literate!

Sebastian Sauer Stats Blog.

Critical Thinking and Commentary about Analytics and Strategic Decision Making

My CV website

TinyPlant Spatial Ecology and Open Source Science Ian Breckheimer, PhD Candidate, University of Washington. Bio CV Publications Lab Updated 2017 …

东南-蒙纳士联合学院研究生

A statistics (etc.) blog by Hilary Parker

株式会社オープンズは「検索連動型広告」と「統計学」を活用した人材採用コンサルティング会社です。採用成功のポイントは３つ。「キーワード」「広告テキスト」「ランディングページ」を統計データを用いて最適化し、お客様の人材採用を成功に導きます。

Econometrics blog with EViews applications Econometrics is fun!

stm : An R Package for the Structural Topic Model

Blog about algorithmic trading with new methods and new indicators

A prática da ciência de forma simples

Graph-backed thoughts

ecological forecasting models and data

A blog about programming and technical knowledge in bioinformatics and information technology.

Improve your critical thinking by using data

Eine wissenschaftliche Vorhersage der Bundestagswahlen 2017. Zweitstimme.org kommuniziert außerdem die Unsicherheit von Umfragen.

analytics & me

An Electrical Engineering and Computer Science student documenting his challenges and experiences. Occasional philosophical rants too.

We data scientists love to create exciting data visualizations and insightful statistical models. However, before we get to that point, usually much effort goes into obtaining, scrubbing, and exploring the required data. The command line, although invented decades ago, is an amazing environment for performing such data science tasks. By combining small, yet powerful, command-line tools you can quickly explore your data and hack together prototypes. New tools such as parallel, jq, and csvkit allow you to use the command line for today's data challenges. Even if you're already comfortable processing data with, say, R or Python, being able to also leverage the power of the command line can make you a more productive and efficient data scientist.

Musings on Statistics, Data Analysis, Software, R, Work and… Food!

Rcpp, R, C++, API, Open Source, Foreign Function Interface

Analytics and Data Science on the Microsoft platform - Marcel Franke - VP pmOne Analytics GmbH

Agner Fog's homepage. Topics: Cultural evolution - Simulation of biological evolution - Random number generator - Software optimization

Econometrics blog with EViews applications Econometrics is fun!

Professor

A place for my thoughts on comp bio, statistics, cycling(, [a-zA-Z]+)

Hayward's blog on psychology, visual cognition, and stats

Collaborative Calculation in the Cloud

Kengo Nagashima - Chiba University

A blog about big data and technology