546 search results for "Register"

Webinar May 1: What’s new in Revolution R Enterprise 6.2

April 29, 2013
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Revolution R Enterprise 6.2 is now available, and includes many new features that enhance the performance, scalability and enterprise readiness of R. On May 1, product manager Thomas Dinsmore will give an overview of the new features in a 30-minute webinar. You can register for the webinar (and the post-webinar slides and replay) at the link below. Revolution Analytics...

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Editing/Adding factor levels in R

April 29, 2013
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I was trying to change few levels in my factor variable by simply coercing characters on that factor variable but it dint seem to work. data(iris)iris$Species <- rep("Random", 71) ## Warning: invalid factor level, NAs generated iris$Species ## setosa ...

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Funky music in funky months: Does my taste of music change over the year?

April 28, 2013
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Funky music in funky months: Does my taste of music change over the year?

I already introduced some stuff I did with the last.fm API. But did you ever wonder if your taste of music changes over the year? Sunny music in the sunny months and dark music in darker months? Well, I did. And I want to check it out with the RLastFM ...

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Forecasting stock returns using ARIMA model with exogenous variable in R

April 28, 2013
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Forecasting stock returns using ARIMA model with exogenous variable in R

Why is it important? Why is it important? India has a lot to achieve in terms of becoming a developed nation from an economic standpoint. An aspect which, in my opinion, is of utmost importance is the formation of structurally sound and robust...

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Revolution Newsletter: April 2013

April 26, 2013
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The most recent edition of the Revolution Newsletter is out. The news section is below, and you can read the full April edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Now Available: Revolution R Enterprise 6.2. Released today, this update further enhances the performance,...

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Using plyr and doMC for quick and easy apply-family functions

April 26, 2013
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Using plyr and doMC for quick and easy apply-family functions

A few weeks back I dedicated a short amount of time to actually read what plyr (Wickham, 2011) is about and I was surprised. The whole idea behind plyr is very simple: expand the apply() family to do things easy. plyr has...

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FasteR! HigheR! StrongeR! – A Guide to Speeding Up R Code for Busy People

April 25, 2013
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FasteR! HigheR! StrongeR! – A Guide to Speeding Up R Code for Busy People

This is an overview of tools for speeding up your R code that I wrote for the Davis R Users’ Group. First, Ask “Why?” It’s customary to quote Donald Knuth at this point, but instead I’ll quote my twitter buddy Ted Hart to illustrate a point: I’m just going to say it.I like for loops in #Rstats,...

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Upcoming GDAT Class May 6-10, 2013

April 22, 2013
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Upcoming GDAT Class May 6-10, 2013

Enrollments are still open for the Level III Guerrilla Data Analysis Techniques class to be held during the week May 6—10. Early-bird discounts are still available. Enquire when you register. As usual, all classes are held at our lovely Larkspur...

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R et Twitter

April 22, 2013
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R et Twitter

(This article was first published on Learning Data Science , and kindly contributed to R-bloggers) On va dans ce post, illustrer une utilisation simple des packages twitteR, StreamR, tm qui permettent faire du textmining. En réalité, les deux premiers permettent de récuperer les tweets et de faire des comptages simples et complexes et le dernier permet de faire du...

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Intro R training from RStudio: NYC May 13-14, SF May 20-21 (and discounts)

April 17, 2013
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At RStudio, we’re hosting our Introduction to R Workshop this May in two locations. As an R-help subscriber, we’re offering 10% off! Intro to data science with R (http://goo.gl/bplg3)   May 13-14 New York City Intro to data science with R (http://goo.gl/VCUFL)  May 20-21 San Francisco Bay Area What will you learn? Practical skills for visualizing, transforming, and modeling data in R....

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