*( if( like) { Please(share, this_post); print(“Thanks!”) } )*

The site R-bloggers.com is now 5 years old. It strives to be an (unofficial) online journal of the R statistical programming environment, written by bloggers who agreed to contribute their R articles to the site, to be read by the R community.

In this post I wish to celebrate R-bloggers’ 5th birth-month by sharing with you:

- Links to the
**top**77 most read R posts of 2014 - Statistics on “how well” R-bloggers did this year
- A list of top open R jobs for the beginning of 2015

### 1. Top 77 R posts for 2014

Enjoy:

- Using apply, sapply, lapply in R
- Basics of Histograms
- Box-plot with R – Tutorial
- Adding a legend to a plot
- Read Excel files from R
- In-depth introduction to machine learning in 15 hours of expert videos
- Select operations on R data frames
- Setting graph margins in R using the par() function and lots of cow milk
- R Function of the Day: tapply
- Prediction model for the FIFA World Cup 2014
- ANOVA and Tukey’s test on R
- Model Validation: Interpreting Residual Plots
- ggplot2: Cheatsheet for Visualizing Distributions
- How to plot a graph in R
- Using R: barplot with ggplot2
- Color Palettes in R
- A million ways to connect R and Excel
- Merging Multiple Data Files into One Data Frame
- How to become a data scientist in 8 easy steps: the infographic
- ROC curves and classification
- A Brief Tour of the Trees and Forests
- Polynomial regression techniques
- To attach() or not attach(): that is the question
- R skills attract the highest salaries
- The R apply function – a tutorial with examples
- Melt
- Two sample Student’s t-test #1
- High Resolution Figures in R
- Datasets to Practice Your Data Mining
- Exploratory Data Analysis: 2 Ways of Plotting Empirical Cumulative Distribution Functions in R
- Basic Introduction to ggplot2
- Using R: Two plots of principal component analysis
- Reorder factor levels
- Fitting a Model by Maximum Likelihood
- Pivot tables in R
- How do I Create the Identity Matrix in R?
- A practical introduction to garch modeling
- Download and Install R in Ubuntu
- Paired Student’s t-test
- dplyr: A gamechanger for data manipulation in R
- Computing and visualizing PCA in R
- Plotting Time Series data using ggplot2
- Automatically Save Your Plots to a Folder
- Environments in R
- Hands-on dplyr tutorial for faster data manipulation in R
- Multiple Y-axis in a R plot
- Make R speak SQL with sqldf
- MySQL and R
- paste, paste0, and sprintf
- Creating surface plots
- R: Using RColorBrewer to colour your figures in R
- Five ways to handle Big Data in R
- Free books on statistical learning
- Export R Results Tables to Excel – Please don’t kick me out of your club
- Linear mixed models in R
- Running R on an iPhone/iPad with RStudio
- When to Use Stacked Barcharts?
- Date Formats in R
- Making matrices with zeros and ones
- Converting a list to a data frame
- A Fast Intro to PLYR for R
- Using R: common errors in table import
- Text Mining the Complete Works of William Shakespeare
- Mastering Matrices
- Summarising data using box and whisker plots
- R : NA vs. NULL
- Scatterplot Matrices
- Getting Started with Mixed Effect Models in R
- The Fourier Transform, explained in one sentence
- Import/Export data to and from xlsx files
- An R “meta” book
- R Function of the Day: table
- Facebook teaches you exploratory data analysis with R
- Simple Linear Regression
- Regular expressions in R vs RStudio
- Fitting distributions with R
- Drawing heatmaps in R

### 2. Statistics – how well did R-bloggers do this year?

There are several matrices one can consider when evaluating the success of a website. I’ll present a few of them here and will begin by talking about the visitors to the site.

This year, the site was visited by 2.7 million users, in 7 million sessions with 11.6 million pageviews. People have surfed the site from over 230 countries, with the greatest number of visitors coming from the United States (38%) and then followed by the United Kingdom (6.7%), Germany (5.5%), India( 5.1%), Canada (4%), France (2.9%), and other countries. 62% of the site’s visits came from returning users. R-bloggers has between 15,000 to 20,000 RSS/e-mail subscribers.

The site is aggregating posts from 569 bloggers, and there are over a hundred more which I will add in the next couple of months.

I had to upgrade the site’s server and software several times this year to manage the increase in load, and I believe that the site is now more stable than ever.

I gave an interview about R-bloggers in at useR!2014 which you might be interested in:

**I am very happy to see that R-bloggers continues to succeed in offering a real service to the global R users community – thank you all for your generosity, professionalism, kindness, and love.**

### 3. Top 10 R jobs from 2014

This year I started a new site for sharing R users to share and fine new jobs called: www.R-users.com.

If you are an **employer** who is looking to hire people from the R community, please visit this link to post **a new R job** (it’s **free, **and registration takes **less** than 10 seconds).

If you are a** job seekers, **please follow the links below to learn more and apply for your job of interest (or visit previous R jobs posts).

Below are the top 10 open jobs (you can see new jobs at R-users.com)

- Senior programmer / business analyst for customized solutions (1,497 views)
- MatrixBI Data scientist (1,308 views)
- Data genius, modeller, creative analyst (1,222 views)
- Data Scientist for developing the algorithmic core of Supersonic (1,154 views)
- Content Developer-R (1,054 views)
- Looking for a partner to code an algorithm which will trade pairs in R (834 views)
- Statistician for a six-month project contract in Milano, Italy. (773 views)
- R programmer for spatial data – Germany (738 views)
- Team leader Data Analysis of wind turbine data(701 views)
- Sr. PRedictive Modeler (688 views)