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ProgrammingR

Beginner to advanced resources for the R programming language

  • Data Slinging
    • Create Data Frame
      • Add / Delete Columns
      • Add / Delete Rows
      • Renaming Columns
      • Create Empty Frame
    • Merge R Data Frames
      • cbind
      • rbind
    • Slice & Dice
      • Sort Data Frame
      • Cleanup: Remove NA
      • Concatenating Strings
  • Web Scraping
    • readLines and RCurl
    • CSV Files
    • JSON Data
    • rvest tutorial
      • Custom Packages
      • Stocks & Econ Data
  • Sampling
    • Power Analysis
    • Sample() / Discrete
    • Uniform / runif
    • Normal / rnorm
    • Binomial / rbinom
    • Exponential / rexp
    • Poisson / rpois
  • Examples
    • R Tutorial
    • Business User Guide
      • Working Directories
      • Append in R
      • Managing Databases
    • Error Messages
  • R consultants
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Author: bryan

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Stuart Greenlee

On October 19, 2015 By bryan In R consultants

Description: Over the past ten years I have gained a lot of experience with applying various data science techniques to many different data sources using the R programming language. I started consulting five years ago and …

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Software Engineer

On May 22, 2014 By bryan In R job listings, R jobs listserv

Department of Oncology, Old Road Campus Research Building, Roosevelt Drive, Headington, Oxford The Department of Oncology is seeking a Software Engineer to work in development projects in the Applied Computational Genomics Group. The Medical Sciences …

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Calling Python from R with rPython

On January 13, 2014 By bryan In Articles

Python has generated a good bit of buzz over the past year as an alternative to R. Personal biases aside, an expert makes the best use of the available tools, and sometimes Python is better …

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Creating your personal, portable R code library with GitHub

On September 23, 2013 By bryan In Articles

As I discussed in a previous post, I have a few helper functions I’ve created that I commonly use in my work. Until recently, I manually included these functions at the start of my R …

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Global Indicator Analyses with R

On May 13, 2013 By bryan In Articles

I was recently asked by a client to create a large number of “proof of concept” visualizations that illustrated the power of R for compiling and analyzing disparate datasets. The client was specifically interested in …

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Statistical Programmer

On April 26, 2013 By bryan In R job listings

The position you are applying for is connected with a large bank initiative called Enterprise Target State Fraud Detection and Monitoring. Treasury Services is the largest wholesale bank in the world; and as a result, …

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R for Dummies Twitter Contest

On January 23, 2013 By bryan In Site news

ProgrammingR recently featured a review of DeVries and Meys’ R for Dummies. We were very impressed with the book and felt it would be a good addition to most R programmers’ libraries. To that end, …

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Data.gov SPARQL example

SPARQL with R in less than 5 minutes

On January 23, 2013 By bryan In Articles

In this article we’ll get up and running on the Semantic Web in less than 5 minutes using SPARQL with R. We’ll begin with a brief introduction to the Semantic Web then cover some simple …

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Bioinformatician at OpenAnalytics

On January 15, 2013 By bryan In R job listings, R jobs listserv

OpenAnalytics is an international company providing data analysis services and products across geographies and industrial sectors. We are currently looking to expand our bioinformatics team with a candidate who fits the following profile: Bioinformatician: MSc …

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R for Dummies – De Vries and Meys (2012)

On December 23, 2012 By bryan In Book reviews

The for Dummies series has been around since 1991. (A bit of trivia, DOS for Dummies was the first title.) I’ve owned a few books in the series and have been adequately impressed with most …

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Examples For Common Uses

Resources to help you simplify data collection and analysis using R. Automate all the things!


Web Scraping with R (Examples)

Monte Carlo Simulation in R

Connecting R to Databases

Animation & Graphics

Manipulating Data Frames

Matrix Algebra Operations

Sampling

Statistics

Common Errors

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