Comments on: “The next big thing”, R, and Statistics in the cloud http://www.r-statistics.com/2010/04/r-the-next-big-thing-and-statistics-in-the-cloud/ Writing about statistics with R, and open source stuff (software, data, community) Fri, 10 Feb 2012 03:07:42 +0000 hourly 1 http://wordpress.org/?v=3.3.1 By: Martin Davies http://www.r-statistics.com/2010/04/r-the-next-big-thing-and-statistics-in-the-cloud/comment-page-1/#comment-11279 Martin Davies Sat, 25 Jun 2011 11:31:19 +0000 http://www.r-statistics.com/?p=271#comment-11279 R is already the next big thing; it isn't about point and click that is for applications not tools. R is about solving complex statistical problems in a collaborative way not cleaning data or presenting data or capturing user input, these are higher functions away from the calculation. Statisticians aren’t looking for point and click when they modelling extreme value theory problems or T-Tests or Bayesian ROC analysis or any other kind of statistical quest, they are looking for a solution. R-is extensible and evolving, it has a massive community and a statistical tool that is an applied solution with examples to world (business, physics, biology and so on) problems rather than a method. “the much greater cost of software is the time it takes to install it, maintain it, learn it and document” It takes about seven minutes to install R and I was able to learn it in an afternoon that is pretty straight forward in my opinion. R is already the next big thing; it isn’t about point and click that is for applications not tools. R is about solving complex statistical problems in a collaborative way not cleaning data or presenting data or capturing user input, these are higher functions away from the calculation.

Statisticians aren’t looking for point and click when they modelling extreme value theory problems or T-Tests or Bayesian ROC analysis or any other kind of statistical quest, they are looking for a solution.

R-is extensible and evolving, it has a massive community and a statistical tool that is an applied solution with examples to world (business, physics, biology and so on) problems rather than a method.

“the much greater cost of software is the time it takes to install it, maintain it, learn it and document”

It takes about seven minutes to install R and I was able to learn it in an afternoon that is pretty straight forward in my opinion.

]]> By: The future of R – and a competition to recommend “relevant” R packages | R-statistics blog http://www.r-statistics.com/2010/04/r-the-next-big-thing-and-statistics-in-the-cloud/comment-page-1/#comment-3315 The future of R – and a competition to recommend “relevant” R packages | R-statistics blog Sat, 09 Oct 2010 11:55:39 +0000 http://www.r-statistics.com/?p=271#comment-3315 [...] where she wrote that “R is an epic fail.” (my response to it then was the post ““The next big thing”, R, and Statistics in the cloud“) The second one was tackling the question “Is R “that bad” that it should [...] [...] where she wrote that “R is an epic fail.” (my response to it then was the post ““The next big thing”, R, and Statistics in the cloud“) The second one was tackling the question “Is R “that bad” that it should [...]

]]> By: bunny http://www.r-statistics.com/2010/04/r-the-next-big-thing-and-statistics-in-the-cloud/comment-page-1/#comment-2716 bunny Wed, 02 Jun 2010 12:04:25 +0000 http://www.r-statistics.com/?p=271#comment-2716 actually, as a student you do learn statistics and econometrics if you use R. (On average) As opposed to STATA and SPSS you need to understand what you are doing as opposed to just being able to interpret the regression output. actually, as a student you do learn statistics and econometrics if you use R. (On average) As opposed to STATA and SPSS you need to understand what you are doing as opposed to just being able to interpret the regression output.

]]> By: An article attacking R gets responses from the R blogosphere – some reflections | R-statistics blog http://www.r-statistics.com/2010/04/r-the-next-big-thing-and-statistics-in-the-cloud/comment-page-1/#comment-2508 An article attacking R gets responses from the R blogosphere – some reflections | R-statistics blog Fri, 16 Apr 2010 11:32:55 +0000 http://www.r-statistics.com/?p=271#comment-2508 [...] other R bloggers who wrote about this) R Is (Not) the Next Big Thing by Joe Dunn A reply in Spanish “The next big thing”, R, and Statistics in the cloud by Tal Galili [...] [...] other R bloggers who wrote about this) R Is (Not) the Next Big Thing by Joe Dunn A reply in Spanish “The next big thing”, R, and Statistics in the cloud by Tal Galili [...]

]]> By: Didi http://www.r-statistics.com/2010/04/r-the-next-big-thing-and-statistics-in-the-cloud/comment-page-1/#comment-2499 Didi Thu, 15 Apr 2010 13:08:24 +0000 http://www.r-statistics.com/?p=271#comment-2499 Does SAS will be the nexte big thing ? :o) Does SAS will be the nexte big thing ?

:o )

]]> By: Jeremy Leipzig http://www.r-statistics.com/2010/04/r-the-next-big-thing-and-statistics-in-the-cloud/comment-page-1/#comment-2491 Jeremy Leipzig Wed, 14 Apr 2010 18:39:49 +0000 http://www.r-statistics.com/?p=271#comment-2491 yeah she is saying R will not be the next big thing because it has no decent GUI (fair enough), but the next big thing will not be R with GUI or web-enabled R but instead visualization and data mining. Gee thanks for being so specific. Here is my prediction: the next big thing will involve computers, or maybe sequencing. I'll have to get back to you on that one. yeah she is saying R will not be the next big thing because it has no decent GUI (fair enough), but the next big thing will not be R with GUI or web-enabled R but instead visualization and data mining.

Gee thanks for being so specific.

Here is my prediction: the next big thing will involve computers, or maybe sequencing. I’ll have to get back to you on that one.

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