Showing posts with label Software. Show all posts
Showing posts with label Software. Show all posts

Sunday, April 20, 2014

How Fast the Fastest Human Would Run 100m?

People have used extreme value theory to predict the records in various sports. Here is an articles which provides codes to visualize the same. One can update the dataset to take into account latest records. It's interesting to see how this updation affects the estimates:

http://www.r-bloggers.com/how-fast-the-fastest-human-would-run-100m/

Vectorization in R: Why?

Beginning R users are often told to “vectorize” their code. Here, is an attempt to explain why vectorization can be advantageous in R by showing how R works under the hood:


Checking (G)LM assumptions in R

(Generalized) Linear models make some strong assumptions concerning the data structure. Here is how to verify those assumptions in R:

Wednesday, April 16, 2014

Mapping a century of earthquakes

Did you know that United States Geological Survey maintains an ever growing archive of earthquakes detected around the world, and they make it easy to query and download?
Here is how you can map that data using R:

Benefits of using Open Source Software

Why public universities should use open source software? Read the reasons at:

http://www.r-bloggers.com/public-universities-should-use-open-source-software/

Thursday, April 10, 2014

Beeps and progress alerts to your phone

Would you like your R program to alert you with a beep or ping, as soon as the execution is over? then here is the way out:

R Help about Symbols

How to open R help about a symbol or punctuation mark like ( parenthesis or [ bracket:

Friday, April 4, 2014

Some R Resources for GLMs

It is relatively easy to figure how to code a GLM in R. Even a total newcomer to R is likely to figure out that the glm() function is part of the core R language within a minute or so of searching. Thereafter though, it gets more difficult to find other GLM related stuff that R has to offer. Here is a far from complete, but hopefully helpful, list of resources.

Thursday, April 3, 2014

Does R have too many packages?

Most of us agree with the fact that availability of thousands of packages on CRAN is often life saving. But, there are few, who feel that there are rather too many packages on R. Read this post to know what makes them think the other way?

Seven quick facts about R

Here are some key facts about growth of R:

http://www.r-bloggers.com/seven-quick-facts-about-r/

Tuesday, April 1, 2014

Global Flow of People

A very cool representation of global migration flows between all countries using R:

Don't miss this link and check out the migration pattern of your country:
http://www.global-migration.info/

Friday, March 28, 2014

Why use R?

Why should R be preferred over other statistical software? Read in the words of an extensive user of both a proprietary statistical programming language as well as the open source alternative.

http://www.r-bloggers.com/why-use-r-five-reasons/

Add new colors to your R-charts

If you are a big fan of Wes Anderson's movies and if you love the quirky characters and stories, the distinctive cinematography, and the unique visual style, then you can bring some of that style to your own R charts, by making use of these Wes Anderson inspired palettes.

http://www.r-bloggers.com/give-your-r-charts-that-wes-anderson-style/

Tuesday, March 25, 2014

Handling Character data in R

In today's data-centric world, a statistician can't escape from text data. It's not a very difficult task, if we start in time. So, let's learn about handling character data in R with this free e-book:

http://www.r-bloggers.com/learn-about-handling-character-data-in-r-with-this-free-e-book/

Thursday, March 20, 2014

Secrets of Teaching R: An Interview with Bob Muenchen

It is of interest to see what makes R so popular, yet ‘quirky’ to learn. To get some insight from a real pro here is an interview with Bob Muenchen. Bob is the author of 'R for SAS and SPSS Users'. He is also the creator of r4stats.com, a popular web site devoted to analyzing trends in analytics software and helping people learn the R language. 

http://www.r-bloggers.com/secrets-of-teaching-r/

Google Drive in R

Want to retrieve all direct links to your Google Documents? R can help you out. Check out the details at:

http://www.r-bloggers.com/download-all-documents-from-google-drive-with-r/

Thursday, March 13, 2014

Magical Wolfram Language

Examples of what can be done with the knowledge-based Wolfram Language..
Right from Blurring Faces in an Image to Hiding Secret Messages in Images, Make a You-Centric world map.. Do check out the complete list!!

http://www.wolfram.com/language/gallery/

Mathematical Character Curves

Check out to see how various shapes are represented through mathematical equations and inequalities..
We're glad to see that people have been enjoying our mathematical character curves!

http://blog.wolframalpha.com/2013/05/17/making-formulas-for-everything-from-pi-to-the-pink-panther-to-sir-isaac-newton/

Check out how you can play with your favorite cartoon characters using Wolfram Mathematica http://blog.wolframalpha.com/2014/03/11/they-choose-you-pikachu/

Wednesday, March 12, 2014

A Hack to Create Matrices in R, Matlab style!!

The Matlab syntax for creating matrices is pretty and convenient. Its R-counterpart is functional but not as pretty, plus the default is to specify the values column wise. Using meta-programming we can hack together a function that allows us to create matrices in a similar way as in Matlab. Read more at:

http://www.r-bloggers.com/a-hack-to-create-matrices-in-r-matlab-style/