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].
"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].
Last edited: