How to plot a graph in R

R has an awesomely powerful function called plot(), which will try to cleverly produce an appropriate plot depending on the type of data.  See the following link.

https://wiki.mobilizingcs.org/rstudio/plots


Posted by Sathees kumar 

R 3D Plots

There are many functions in R programming language for creating 3D plots. In this section we will discuss on the persp() function which can be used to create 3D surfaces in perspective view.

http://www.programiz.com/r-programming/3d-plot

Posted by Monika Warnasooriya

Resources to help you learn and use R

1. IDRE UCLA Statistical Computing  it’s a website full of annotated examples of standard analyses in R

2. A Compendium of Clean Graphs in R, this is a guide to Produce clean graphs in R.

3. The codeschool A place to learn R for people who have zero R experience.

4. Coursera  (R Programing) A course to learn how to program in R and how to use R for effective data analysis.

 

Posted by Anjana Yatawara

 

Why now is the time to learn R

Here are just a few examples:

• Google uses R to calculate the ROI on advertising campaigns.
• Ford uses R to improve the design of its vehicles.
• Twitter uses R to monitor user experience.
• The US National Weather Service uses R to predict severe flooding.
• The Rockefeller Institute of Government uses R to develop models for simulating the finances of public pension funds.
• The Human Rights Data Analysis Group uses R to quantify the impact of war.
• R is used frequently by The New York Times to create infographics and interactive data journalism applications.

Check this out!
https://opensource.com/business/14/12/r-open-source-language-data-science

Posted by  Rajitha Thiyagarajah

R Programming @ Johns Hopkins University

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.

 

https://www.coursera.org/learn/r-programming

 

Posted by Sajeththa Thavayogarajah

Time Series Analysis and Mining with R

Contents

1. Time series data in R
2. Time series decomposition, forecasting, clustering and classification
3. Autoregressive integrated moving average (ARIMA) model
4. Dynamic Time Warping (DTW)
5. Discrete Wavelet Transform (DWT)
6. k-NN classification

http://www.rdatamining.com/docs/time-series-analysis-and-mining-with-r


Posted by  Mudushini Liyanage

Linear Models in R: Plotting Regression Lines

Check this link!

http://www.theanalysisfactor.com/linear-models-r-plotting-regression-lines/

Posted by Sajeththa Thavayogarajah

Plotly R Library 2.0

Plotly for R is an interactive, browser-based charting library built on the open source JavaScript graphing library, plotly.js. It works entirely locally, through the HTML widgets framework.

  https://plot.ly/r/

Posted by Manusha Lakmali