SAS v R

noetsi

Fortran must die
#21
Bryan from the original article "SAS has become the undisputed market leader in commercial analytics space."

"SAS is commercial software. It's not cheap and still beyond reach for the majority of the professionals (in individual ability). Nevertheless, it holds the largest market share in Private Organizations."

what you said.


"R is not SAS. It doesn't try to be SAS. That article is stupid from the beginning when it says "R is the Open source counterpart of SAS." It isn't. That statement doesn't even make sense. They're not even remotely doing the same thing (SAS has a database engine, security settings, GUI interface, extensions, and so on; it's an application that can be used for data processing and statistics). R is a programming language that can be used to do a myriad of things, obviously designed for stats."

I agree. SAS is a commercial product employed largely by corporations [SAS's bread and butter is not statistics its forms of operations research these days even though its original creators were focused on statistics]. R I believe is primarily used by academics and high end users who do cutting edge analysis [in my humble experience few private companies do such because they don't believe what they get out of it is worth the cost. That might or might not be true, but corporate decision makers believe it is which is all that matters. Again that is only my opinion].

I am definitely an analyst not an academic or engineer [which seems humorous to say given that I earned 4 graduate degrees in social sciences, but clearly true].
 
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bryangoodrich

Probably A Mammal
#22
"SAS has become the undisputed market leader in commercial analytics space."
Where's the evidence? Because Gartner says so? What's their methodology? How do they define "commercial analytics space" how did they compare competitors? Empirical claims require empirical support.
 

noetsi

Fortran must die
#23
I don't think there is any systematic data. I think it is based on their experience and those they talk to much as my comments are. There probably are surveys that ask companies what statistical/analytical software they use.
 

Jake

Cookie Scientist
#24
There is data.
There is data.
There is data.
There is data.
There is data.
There is data.
http://r4stats.com/articles/popularity/
You cannot keep ignoring this and spewing this unfounded **** about SAS being more popular than R in general.
Are there specific pockets of industry where SAS is more popular than R? Almost certainly. It looks like you work in such a pocket. But to say that SAS is more popular than R in general flies in the face of the evidence.
 

Dason

Ambassador to the humans
#25
Right now if I search for jobs on the ASA job board there are an equal number of SAS and R postings. If I search for jobs on stackoverflow within 100 miles of me there are 36 R jobs and 0 SAS jobs. SO isn't exactly an unbiased comparison since it's more programmer oriented (but it's also not exactly an academic haven...). But at least it provides some evidence to show that if noetsi wants to claim that SAS is king then he needs to bring some actual data to the table.
 

noetsi

Fortran must die
#27
There is data.
There is data.
There is data.
There is data.
There is data.
There is data.
http://r4stats.com/articles/popularity/
You cannot keep ignoring this and spewing this unfounded **** about SAS being more popular than R in general.
Are there specific pockets of industry where SAS is more popular than R? Almost certainly. It looks like you work in such a pocket. But to say that SAS is more popular than R in general flies in the face of the evidence.
there is data you prefer that may or may not get at systematic factors. The author I posted, which you ignored said the exact opposite. Nothing in that article convinced me they has done a reasonable sample of private or state organizations and based their findings on that. Using what was asked for in one job board as a way of analyzing anything is a joke.

I am quite sure you would not apply such an unsystematic methodology in any serious analysis.