R Moves Up From #9 to #6, But What Does It Mean to Really be Proficient in a Language?
There's been a lot of noise in the data science community this past week about IEEE Spectrum's 2015 language rankings, where R moved up three notches from #9 in 2014 to #6 in 2015. The Spectrum post gives some lip service to needing to know a domain in addition to just the language itself. But here I drill down into what it means to really know a language. API for the standard library. So, do you really know R?
Orange Data Mining
· R Tools for Visual Studio
Welcome to R Tools for Visual Studio Preview! About this release THANK YOU for trying out this second preview release of R Tools for Visual Studio (RTVS)! We welcome your feedback and comments; we’re actively monitoring our Github issue tracker and triage new incoming issues every Friday. Of course, we remind you that this release is meant for evaluation purposes only and not for production use. If you already have VS2015 with Update 1 (or higher) installed and R installed, you can download RTVS from the link below - but we highly recommend following the Installation guide: Download R Tools for Visual Studio Meet the RTVS Engineering Team in New York City on May 12! Are you in the NYC area on May 12th? If interested, please sign up here. Key features in Version 0.3 For an overview of what is new in 0.3, please see our What’s New in 0.3 page. Completely New Features for 0.3 Existing and Improved Features A quick video overview Installation and first steps The pre-requisites for RTVS are: Q. A. Q. A.
Databionic ESOM Tools - Databionic ESOM Tools
Cookbook for R
Big Data, How to Detect Relationships Between Categorical Variables
The goal of the techniques described in this topic is to detect relationships or associations between specific values of categorical variables in large data sets. This is a common task in many data mining projects as well as in the data mining subcategory text mining. These powerful exploratory techniques have a wide range of applications in many areas of business practice and also research - from the analysis of consumer preferences or human resource management, to the history of language. These techniques enable analysts and researchers to uncover hidden patterns in large data sets, such as "customers who order product A often also order product B or C" or "employees who said positive things about initiative X also frequently complain about issue Y but are happy with issue Z." How association rules work. Sequence Analysis. Link Analysis. Unique data analysis requirements. Computational Procedures and Terminology Categorical or class variables. Multiple response variables.
alyssa frazee
Thu 02 January 2014 | -- (permalink) My sister is a senior undergraduate majoring in sociology. She just landed an awesome analyst job for next semester and was told she'll be using some R in the course of her work. One catch: the day we planned to work, it turned out we only had an hour of overlapping free time. Challenge accepted. (1) download R and RStudio I'm impressed that RStudio is both accessible/helpful for beginners and useful for experts. (2) console and script The first thing we did after getting set up was type two lines into the console: It wasn't exactly "hello world", but it illustrated some concepts like "assignment" and "variables" and "evaluation"2. The next thing I had my sister do was save those two lines of code in an R script. In the course of explaining this stuff, I learned that "console" and "script" are kind of jargon-y words, so I tried to give specific definitions for each of them. (3) comments # COMMENTS ARE SUPER IMPORTANT so we learned about them (4) graphics
Alchemy - Open Source AI
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dimple
LIBROS RECOMENDADOS PARA APRENDER ESTADÍSTICA CON R - Blog Estadística & R
Hoy vengo con una lista de libros recomendados para leer en cualquier momento de tu carrera profesional porque son algunos de los mejores y más leídos libros de Estadística con R. Todos los libros que te enseño son excelentes, no hay un orden de importancia, pero sí hay diferencias en la complejidad de cada uno. Voy a comentarte cada libro para que sepas si está hecho para ti. La lista la iré actualizando según lea otros libros destacados que me parezcan imprescindibles. Es un curso de Estadística básica con R que logra su objective, es rápido y una buena referencia para comenzar. Utiliza mucho ejemplos para su desarrollo y puedes descargarte un paquete que contiene todos los datos. Libro de R básico que se divide en pequeños pasos orientados a la realización de tareas. Es una introducción al lenguaje R y cómo utilizarlo para el análisis estadístico y gráfico. R for Beginners de Emmanuel Paradis The R Book de Michael J. A first course in statistical programming with R de W.J. Muy bueno.
bookdown: Easy Book Publishing with R Markdown
R for Data Science
Learn R : 12 Free Books and Online Resources – YOU CANalytics
Please read the disclaimer about the Free PDF Books in this article at the bottom R, an open-source statistical and data mining programming language, is slowly but surely catching up in its race with commercial software like SAS & SPSS. I believe R will eventually replace SAS as the language of choice for modeling and analysis for most organizations. The primary reason for this is plainly commercial. Most organizations are questioning the heavy annual cost of SAS on their P&L statement. Human Obsession with Linearity – by Roopam Non-Linear Self-Learning Humans are obsessed with linearity. Learning / teaching in schools and universities usually take the linear path, however, self-learning, in my opinion, is highly non-linear. 1. First of all, thanks to Jared for recommending this book in the comments section of this article. Read the Full Book: R for Data Science Here is another exceptional book to start learning R on your own. Read Full PDF: R in Action Read Full PDF: The R Book 2. 3. 4. 5.
