Beginner's guide to R: Introduction R is hot. Whether measured by more than 4,400 add-on packages, the 18,000+ members of LinkedIn's R group or the close to 80 R Meetup groups currently in existence, there can be little doubt that interest in the R statistics language, especially for data analysis, is soaring. Why R? It's free, open source, powerful and highly extensible.
What is R? During the last decade, the momentum coming from both academia and industry has lifted the R programming language to become the single most important tool for computational statistics, visualization and data science. Worldwide, millions of statisticians and data scientists use R to solve their most challenging problems in fields ranging from computational biology to quantitative marketing. R has become the most popular language for data science and an essential tool for Finance and analytics-driven companies such as Google, Facebook, and LinkedIn. Watch this 90 second video for an introduction to R This video is free to download, remix and share!
Matlab Matlab is a tool for doing numerical computations with matrices and vectors. It can also display information graphically. The best way to learn what Matlab can do is to work through some examples at the computer. After reading the " getting started " section, you can use the tutorial below for this. Getting started Why R is Hard to Learn by Bob Muenchen R has a reputation of being hard to learn. Some of that is due to the fact that it is radically different from other analytics software. Some is an unavoidable byproduct of its extreme power and flexibility. And, as with any software, some is due to design decisions that, in hindsight, could have been better. Julia Studio Beginner These tutorials will help you to familiarize yourself with the Julia Studio environment and the basics of the language. Hello, World! 1 Star This tutorial will walk you through creating a project in Julia Studio and have your write your first program. Start Tutorial Prime Numbers 1 Star Learn how to define functions and get your hands dirty with some actual math. Start Tutorial Quadratic Equation Solver 2 Stars Julia gives you all the power of a functional programming language, with the performance you would expect from C++.
It's the effect size, stupid: what effect size is and why it is important It's the Effect Size, StupidWhat effect size is and why it is important Robert CoeSchool of Education, University of Durham, email r.j.coe@dur.ac.uk Paper presented at the Annual Conference of the British Educational Research Association, University of Exeter, England, 12-14 September 2002 Abstract Statistical Learning About This Course This is an introductory-level course in supervised learning, with a focus on regression and classification methods. The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines. Some unsupervised learning methods are discussed: principal components and clustering (k-means and hierarchical). This is not a math-heavy class, so we try and describe the methods without heavy reliance on formulas and complex mathematics.
Federal Reserve Economic Data Skip to main content Economic Research Federal Reserve Bank of St. Louis HyperStat Online: An Introductory Statistics Textbook and Online Tutorial for Help in Statistics Courses Recommend HyperStat to your friends on Facebook Click here for more cartoons by Ben Shabad. Other Sources Stat Primer by Bud Gerstman of San Jose State University
Learn R Upload mybringback.com mybringback Loading... Working... Bloomberg Enterprise Solutions Seamless workflow depends on consistency. Front, middle, and back-office teams working from one version of reality. Never wasting a single second trying to reconcile two numbers that should match — but don’t. Getting the right data at a sensible price, with fewer sources, no duplicates and no gaps. That’s why you need information from Bloomberg Enterprise Solutions. Today’s imperatives are consolidation and cost-cutting on an enterprise scale. StatPrimer © B. Gerstman 2003 StatPrimer (Version 6.4) B. Burt Gerstman (email) Part A (Introductory) (1) Measurement and sampling [Exercises] (2) Frequency distributions [Exercises]
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