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Converting SAS Code

I wish to second this approach to learning R. 

I tried for several years to translate other stat programs  or provide 
parallel analyses with R. 
This dabbling-in-R approach did not work
. 
When a transferred to a research unit  that could ill afford commercial 
software, I devoted my entire time to doing everything in R. 
This was a difficult learning process, but I eventually became proficient 
in R. 

The conceptual paradigm for R is only marginally commensurate with that of 
standard statistical software. 
You must immerse yourself in R to become proficient. 

Good luck,
Joe
 


Bert Gunter <bgunter.4567 at gmail.com> 
Sent by: "R-help" <r-help-bounces at r-project.org>
09/29/2017 02:09 PM

To
"Kevin E. Thorpe" <kevin.thorpe at utoronto.ca>, 
cc
R-help <r-help at r-project.org>, Andrew Harmon <andrewharmon42 at gmail.com>
Subject
Re: [R] Converting SAS Code






I will offer an opinion, with which others may fairly take issue.

If you are coming from SAS and wish to learn R, you should forget about 
SAS
entirely; it is ancient and convoluted. But more to the point, as others
have already suggested, you will only confuse and hamstring yourself 
trying
to convert the programming paradigms of one language into another. Better
to consider the **tasks** you wish to accomplish and learn how to approach
them in the new language. I would add that this especially includes
learning about R's varied data structures for which there is no cognate in
SAS I think (correction requested if I'm wrong about this).

If this is a one-off, just finding a local resource to do the job for you
might be the best approach.

Cheers,
Bert





Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )

On Fri, Sep 29, 2017 at 10:21 AM, Kevin E. Thorpe 
<kevin.thorpe at utoronto.ca>
wrote:
post
in
client
was
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much
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