Monthly Archives: October 2013

Topic Modeling in R

October 6, 2013
By
Topic Modeling  in R

As a part of Twitter Data Analysis, So far I have completed Movie review using R & Document Classification using R. Today we will be dealing with discovering topics in Tweets, i.e. to mine the tweets data to discover underlying topics– approach known as Topic Modeling.What is Topic Modeling?A statistical approach for discovering “abstracts/topics” from...

Read more »

Influence Analysis for Repeated Measures Data

October 6, 2013
By
Influence Analysis for Repeated Measures Data

I am trying exercise 59.8 (page 5057) of the SAS/STAT Users Guide 12.3 in R. The interesting thing is that influence is investigated on subject level rather than individual level. The diagnostics in nlme does not do leave-subject-out, at least, not tha...

Read more »

Crime Against Women in India – Addressing 8 Questions Using rCharts, googleVis, and shiny

October 5, 2013
By

Recent crimes against women, specifically the 2012 gang rape in New Delhi of a 23 year old lady, have pushed this issue as a substantially significant one for Indians to deal with. In this post, I try to address 8 different questions regarding crime against women in India. (1). How have numbers in different types of crimes and percentage of different...

Read more »

Lambda.r at FP Days 2013 in Cambridge, UK

October 5, 2013
By
Lambda.r at FP Days 2013 in Cambridge, UK

After a bit of a hiatus in public speaking, I will be presenting Functional Programming In The Computational Sciences With …Continue reading »

Read more »

Loops revisited: How to rethink macros when using R

October 4, 2013
By

<p>Loading ...</p>

Read more »

Simplicity Explained by The Author

October 4, 2013
By
Simplicity Explained by The Author

Source is usually best explained by the source.  Ramnath Vaidyanathan provides an excellent look under the hood in his tutorial on rCharts explaining how he integrates the new d3 library uvCharts. If you want to explore further, here is a list of...

Read more »

Financial Data Accessible from R

October 4, 2013
By
Financial Data Accessible from R

This post lists the sources and types of financial data that is accessible directly from R. I included here free and non free ressources. Obviously given the size and the activity of the R community this is work in constant progress. I might update thi...

Read more »

Post 1: A Bayesian 2PL IRT model

October 4, 2013
By
Post 1: A Bayesian 2PL IRT model

In this post, we define the Two-Parameter Logistic (2PL) IRT model, derive the complete conditionals that will form the basis of the sampler, and discuss our choice of prior specification. We can find the appropriate values of numerically in R … Continue reading →

Read more »

Post 0: Getting Started with R

October 4, 2013
By
Post 0: Getting Started with R

R is an interpreted programming language that makes it easy to think about statistics instead of thinking about programming. Unlike other programming languages, R is commonly used by typing commands one-at-a-time in an interactive session. RStudio is a program that … Continue reading →

Read more »

Dealing with a stochastic fitness function in GA package

October 4, 2013
By
Dealing with a stochastic fitness function in GA package

Guest post by Kim Man Lui, PhD. (about GA – an R package for optimization using genetic algorithms) The GA package (version 2.0) is a generic package in which one can define his/her own functions of fitness, selection, crossover and mutation. Among those functions, the most important is the fitness. However, in the GA package, the fitness function has...

Read more »

Sponsors

Mango solutions





RStudio homepage

Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training



http://www.eoda.de









ODSC

CRC R books series













Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)