Can someone point me to a good introduction/resources to R? Especially for web stuff?
I like this site: http://www.statmethods.net/
How the R-project is taking over statistical analysis software
11–20 of 61 posts
Re: How the R-project is taking over statistical analysis software
#12love R.. but have to say because it's open source, you do have to watch for the quality of libraries
Surely that would still be the case under any license.
yes.. but for less adopted or emerging platforms, you have to be more conscious of the source of the library, and should look at the source to verify its functionalities
Re: How the R-project is taking over statistical analysis software
#13Can someone point me to a good introduction/resources to R? Especially for web stuff?
Re: How the R-project is taking over statistical analysis software
#14Can someone point me to a good introduction/resources to R? Especially for web stuff?
R in Nutshell is pretty good book: http://shop.oreilly.com/product/9780596801717.do
Re: How the R-project is taking over statistical analysis software
#15love R.. but have to say because it's open source, you do have to watch for the quality of libraries
Surely that would still be the case under any license.
He is probably comparing R to SAS (which are the two most popular statistical programming languages). SAS doesn't really have libraries, instead you buy additional packages from SAS, which are very reliable and well supported, but expensive.
My company shuns R (although I personally like it), primarily because of this issue. If we need to run a rare or uncommon statistical procedure, it is a lot easier to trust the SAS procedure, rather than an open source R package written by some grad student.
Re: How the R-project is taking over statistical analysis software
#16Unfortunately, it's almost impossible to work with a very large datasets in R, because of the speed limitations. Many researchers I know use Matlab because of this.
Re: How the R-project is taking over statistical analysis software
#17DIE SAS DIE
Having worked on and off with SAS in recent years I'm aware it has its limitations, but round here we like constructive contributions please. Would you like to expand upon your remarks?
Re: How the R-project is taking over statistical analysis software
#18Unfortunately, it's almost impossible to work with a very large datasets in R, because of the speed limitations. Many researchers I know use Matlab because of this.
What about Octave? Other than my use in the Stanford Machine Learning class, I've never really used either, so I don't have any basis for comparison.
Re: How the R-project is taking over statistical analysis software
#19Unfortunately, it's almost impossible to work with a very large datasets in R, because of the speed limitations. Many researchers I know use Matlab because of this.
What about Octave? Other than my use in the Stanford Machine Learning class, I've never really used either, so I don't have any basis for comparison.
My recollection is that Octave is significantly slower than Matlab, and some quick googling on benchmarks [1] suggests that it is (was?) as slow or slower than R.
I've complained before that Octave is the wrong solution to the Matlab problem, and if you aren't attached to one of the many fine Matlab toolkits, you're likely better served translating to a more expressive language, like Python+Numpy+Scipy.
Re: How the R-project is taking over statistical analysis software
#20Unfortunately, it's almost impossible to work with a very large datasets in R, because of the speed limitations. Many researchers I know use Matlab because of this.
For statistical genetics at least, it's common to process much of the data in parallel, so the RAM limitations on one R instance are not the gating factor.