Showing posts with label R. Show all posts
Showing posts with label R. Show all posts

Friday, November 4, 2016

Ari Lamstein – How can I get good at R?

Everybody talks about R programming, how to learn, how to be good at it. But in this article, Ari Lamstein tells us his story about why and how he started with R along with how to publish, market and monetise R projects.
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Saturday, March 7, 2015

Learn R for beginners

I which to thanks @Computerworld's Sharon Machlis to put is Beginner's Guide to R available as  downloadable PDF.


Wednesday, February 25, 2015

Step by Step guide to learn Time Series Modelling

Hi all, thank's to Tavish Srivastava I finally found a useful post about Time Series.

here is the part 1 intro:
Regression Models, both linear and logistic are an inevitable part of Analytics industry. Take a flashback & recall, when did you built your last Time Series model. Time series models are very useful models when you have serially correlated data. In case you have never built a time series model or you struggle with some concepts of time series models, you have landed at the right page.
and this the part 2 intro:
This is the second part of the step by step guide to Time Series Modelling. In the first part, we looked at basics of time series, stationary series, random walk and Dicky Fuller test. If you have not read this article, I would suggest to go through that first.
In this article we will talk about handling time series data on R. Our scope of this article will be restricted to data exploring in a time series type of dataset and not go to building time series models.  In this article I have used an inbuilt dataset of R called AirPassengers. The dataset consists of monthly totals of international airline passengers, 1949 to 1960. This article will help you explore the data step by step and we will make predictions based on this data for the number of passengers post 1960 in next few articles.
My suggestion read and test it Part 1 & Part 2 


Thursday, August 21, 2014

Data Mining on Facebook Data : Basic Tutorial

Hi Guys,
from 's blog a very simple step by step guide on how to obtain an Access Token from Facebook and start to do Data Analysis using R.
Very clear simple and easy to use
Read it

Thursday, September 12, 2013

DataMind interactive learning: Dublin R User Group: September 2013

Presentation explaining the motivation for building and the technical tools that were used. We also looked at how you can create your own interactive R tutorials with the beta version. More info on