14 razones por la que R es mejor que Excel(c)

14 Reasons Why R is better than Excel

This article was first published on聽Revolutions

The Fantasy Football Analytics blog shares these聽14 reasons why R is better than Excel for data analysis:

  1. More powerful data manipulation capabilities
  2. Easier automation
  3. Faster computation
  4. It reads any type of data
  5. Easier project organization
  6. It supports larger data sets
  7. Reproducibility (important for detecting errors)
  8. Easier to find and fix errors
  9. It’s free
  10. It’s open source
  11. Advanced Statistics capabilities
  12. State-of-the-art graphics
  13. It runs on many platforms
  14. Anyone can contribute packages to improve its functionality

The two most important in my mind are #2 (automation) and #7 (reproducibility), reasons that apply to any GUI-driven tool. The ability to use code to repeat your analyses and reproduce the results consistently cannot be overstated.

For more detailed background behind each of these reasons, and four situations where it’s best to use Excel, check out the complete blog blost linked below.

Fantasy Football Analytics:聽Why R is Better Than Excel for Fantasy Football (and most other) Data Analysis

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S谩bado, 11 de octubre de 2014 Sin comentarios

future of computational statistics

(This article was first published on聽Xi’an’s Og 禄 R, and kindly contributed to聽R-bloggers)

 

I am currently preparing a survey paper on the present state of computational statistics, reflecting on the massive evolution of the field since my early Monte Carlo simulations on聽an Apple //e, which would take a few days to return a curve of approximate expected squared error losses鈥 It seems to me that MCMC is attracting more attention nowadays than in the past decade, both because of methodological advances linked with better theoretical tools, as for instance in the handling of stochastic processes, and because of new forays in accelerated computing via parallel and cloud computing, The breadth and quality of talks at聽MCMski IV聽is testimony to this. A second trend that is not unrelated to the first one is the development of new and the rehabilitation of older techniques to handle complex models by approximations, witness聽ABC,聽Expectation-Propagation, variational Bayes, &tc. With a corollary being an healthy questioning of the models themselves. As illustrated for instance in聽Chris Holmes鈥 talk聽last week. While those simplifications are inevitable when faced with hardly imaginable levels of complexity, I still remain confident about the 鈥渋nevitability鈥 of turning statistics into an 鈥optimize+penalize鈥 tunnel vision鈥β A third characteristic is the emergence of new languages and meta-languages intended to handle complexity both of problems and of solutions towards a wider audience of users.聽STAN聽obviously comes to mind. And聽JAGS. But it may be that聽another scale聽of language is now required鈥

If you have any suggestion of novel directions in computational statistics or instead of dead ends, I would be most interested in hearing them! So please do comment or send emails to my gmail address聽bayesianstatistics鈥

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Lunes, 29 de septiembre de 2014 Sin comentarios

Engaging Market Research: The New Consumer Requires an Updated Market Segmen…

Engaging Market Research: The New Consumer Requires an Updated Market Segmen…: The new consumer is the old consumer with more options and fewer prohibitions.聽 Douglas Holt 聽calls it the postmodern market defined by diff…

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Viernes, 19 de septiembre de 2014 Sin comentarios

11th International Workshop on Objective Bayes Methodology. O-Bayes15


The International Workshop on Objective Bayes Methodology, O-Bayes15, will be held in Valencia, Spain, June 1-4, 2015, and June 5 will be devoted to excursions. This will be the 11th meeting of one of the longest running and preeminent meetings in Bayesian statistics, following earlier meetings held in West Lafayette, IN, USA, 1996; Valencia, Spain, 1998; Ixtapa, Mexico, 2000; Granada, Spain, 2002; Aussois, France, 2003; Branson, MO, USA, 2005; Roma, Italy, 2007; Philadelphia, PA, USA, 2009; Shanghai, China, 2011; and Durham, NC, USA 2013. The principal objectives of O-Bayes15 will be to facilitate the exchange of recent research developments in objective Bayes theory, methodology and applications, and related topics, to provide opportunities for new researchers, and to establish new collaborations and partnerships.

Returning to Valencia, O-Bayes15 will be dedicated to Susie Bayarri, to celebrate her life and contributions to Bayesian Statistics. O-Bayes15 will feature 21 invited talks and discussants, 3 tutorials and a poster session. More details will come in this web site soon.

http://congresos.adeituv.es/OBayes15/

 

 

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Viernes, 19 de septiembre de 2014 Sin comentarios

In Memoriam: Susie

 

[Here is 聽is a poem聽written by Kerrie for the last ISBA cabaret in聽Cancun, to Susie who could not make it to a Valencia meeting for the first time… Along with a picture of Susie, Alicia and Jennifer taking part in another ISBA cabaret in Knossos, Crete, in 2000.]

This is a parody of a classic Australian bush poem, 鈥楾he Man from Snowy River鈥, that talks of an amazing horseman in the rugged mountain bush of Australia, who out-performed the 鈥榗racks鈥 and became a legend. That鈥檚 how I think of Susie, so this very bad poem comes with a big thanks for being such an inspiration, a great colleague and a good friend.

There was movement in the stats world as the emails caught alight
For the cult from Reverend Bayes had got away
And had joined the 鈥業SBA鈥 forces, and were calling for a fight
So all the cracks had gathered to the fray.

All the noted statisticians from the countries near and far
Had flown into Cancun overnight
For the Bayesians love their meetings where the sandy beaches are
And the Fishers snuffed the battle with delight.

There were Jim and Ed and Robert, who were 鈥榝athers of the Bayes鈥
They were known as the whiskey drinking crowd
But they鈥檇 invented all the theory in those Valencia days
Yes, they were smart, but oh boy were they loud!

And Jose M Bernardo came down to lend a hand
A finer Bayesian never wrote a prior
And Mike West, Duke of Bayesians, also joined the band
And brought down all the graduates he could hire

Sonia and Maria strapped their laptops to the cause
And Anto, Chris and Peter ran 鈥 in thongs!
Sirs Adrian and David came with armour and a horse
While Brad and Gareth murdered battle songs

And one was there, a Spaniard, blonde and fierce and proud
With a passion for statistics and for fun
She鈥檇 been there with the founders of the nouveau Bayesian crowd
And kept those Fisher stats folk on the run

But Jim鈥檚 subjective prior made him doubt her power to fight
Mike Goldstein said, 鈥楾hat girl will never do,
In the heat of battle, deary, you just don鈥檛 have the might
This stoush will be too rough for such as you.鈥

聽But Berger and Bernardo came to Susie鈥檚 side
We think we ought to let her in, they said
For we warrant she鈥檒l be with us when the blood has fairly dried
For Susie is Valencia born and bred.

She did her Bayesian training in the classic Spanish way
Where the stats is twice as hard and twice as rough
And she knows nonparametrics, which is useful in a fray
She鈥檚 soft outside, but inside, man she鈥檚 tough!

She went. They found those Fisher stats folk sunning on the beach
And as they grabbed their laptops from the sand
Jim Berger muttered fiercely, 鈥榬ight, twist any head you reach
We cannot let those Fish get out of hand.鈥

Alicia, grab a Dirichlet and break them with a stick
Chris, it鈥檚 easy, just like ABC
And Sylvia, a mixture model ought to do the trick
But just you leave that Ronnie up to me.

Jose battled them with inference and curdled Neyman鈥檚 blood
And Ed told jokes that made them shake their head
And posteriors lined like beaches like sandbags for a flood
And Jim threw whiskey bottles as they fled.

And when the Bayesians and the Fishers were washed up on the sand
The fight was almost judged to be a tie
But it was Susie who kept going, who led the final charge
For she didn鈥檛 want objective Bayes to die

She sent the beach on fire as she galloped through the fray
Hurling P and F tests through the foam
鈥榯il the Fishers raised surrender and called the fight a day
And shut their laptops down and sailed for home.

And now at ISBA meetings where the Bayesians spend their days
To laugh and learn and share a drink or two
A glass is always toasted: to Susie, Queen of Bayes
And the cheering echoes loudly round the crew.

She will be remembered for setting Bayesian stats on fire
For her contributions to the field are long
And her passion and her laughter will continue to inspire
The Bayesian from Valencia lives on!

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Jueves, 21 de agosto de 2014 Sin comentarios

De c贸mo un p-valor o un Intervalo de Confianza puede mentir!!!

Interesante entrada en este Blog… m谩s de un revisor de revistas de Alto Impacto deber铆a le茅rselo.

 

Is difference in proportion appropriate measure to compare performance of a drug over another one?

 

ENLACE

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Lunes, 21 de julio de 2014 Sin comentarios

Est谩n los ni帽os felices en el Cole??? (Informe Pisa)

 

Are they happy at school? PISA data and聽visualisation challange @ useR!2014

Enlace: http://goo.gl/uJtrEr

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Jueves, 5 de junio de 2014 Sin comentarios

23 Recursos o art铆culos muy interesantes

Aqu铆 os dejo el link que me ha parecido muy interesante.

 

http://www.datasciencecentral.com/profiles/blogs/new-batch-of-23-great-articles-and-resources

 

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Jueves, 29 de mayo de 2014 Sin comentarios

Twitter & R

Interesante post sobre la interacci贸n R y聽 twitter.

 

Celebrity twitter followers by gender

May 25, 2014

By聽

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Lunes, 26 de mayo de 2014 Sin comentarios

7 blogs sobre predicci贸n

(This article was first published on聽Hyndsight 禄 R, and kindly contributed to聽R-bloggers)

There are several other blogs on forecasting that readers might be interested in. Here are聽seven worth following:

  1. No Hesitations聽by Francis Diebold (Professor of Economics, University of Pennsylvania). Diebold needs no introduction to forecasters. He primarily聽covers forecasting in economics and finance, but also xkcd cartoons, graphics, research issues, etc.
  2. Econometrics Beat聽by Dave Giles. Dave is a professor of economics at the University of Victoria (Canada), formerly from my own department at Monash University (Australia), and a native New Zealander. Not a lot on forecasting, but plenty of interesting posts about econometrics and statistics more generally.
  3. Business forecasting聽by聽Clive Jones (a professional forecaster based in Colorado, USA).聽Originally聽about sales and new product forecasting, but he now covers a lot of other forecasting topics and has an interesting practitioner perspective.
  4. Freakonometrics: by Arthur Charpentier (an actuary and professor of mathematics at the University of Quebec at聽Montreal, Canada). This is the most prolific blog on this list. Wide ranging and taking in statistics, forecasting, econometrics, actuarial science, R,聽and anything else that takes his fancy. Sometimes in French.
  5. No free hunch:聽the kaggle blog. Some of the most interesting posts are from kaggle competition winners explaining their methods.
  6. Energy forecasting聽by Tao Hong (formerly an energy forecaster for SAS, now a professor at UNC). He covers mostly energy forecasting issues and job postings.
  7. The official IIF blog. Conferences, jobs, member profiles, etc.

 

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Mi茅rcoles, 30 de abril de 2014 Sin comentarios