Converting SAS Code

Fri, Sep 29, 2017 12:39 PM

Hi,

I would echo Bert's comments below.

The last thing that you want to try to do is to convert SAS code to R code on a "line for line" basis. The programming paradigm of R, which is built upon vectorized operations, takes a "whole object" approach for efficiency. SAS does not, since it is generally based upon 1970's era, main frame style, programming techniques using macros, etc.

If this is not a one off and something that you might find yourself doing with some frequency, you might consider investing in Bob Muenchen's book, R for SAS and SPSS Users:

  https://www.amazon.com/gp/product/1461406846/ <https://www.amazon.com/gp/product/1461406846/>

While it is now a few years old, it is still relevant in terms of pointing you in the direction of basic and conceptual linkages between the languages.

Regards,

Marc Schwartz

On Sep 29, 2017, at 2:09 PM, Bert Gunter <bgunter.4567 at gmail.com> wrote:

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:

Regarding point 3, as a moderator I have been helping Andrew get this post
out to the list over the past week. His previous attempts were encoded in
some way that the listserv rejected. He sent me the post via his gmail
account and viewing the source I saw it had at least both plain test and
HTML an I said it was worth a try to post it. Certainly on my mail client
his post displays acceptably with the notice that the HTML alternative was
removed.

Kevin

On 09/29/2017 09:51 AM, Michael Dewey wrote:

You might get better answers if you

1 - break this down into separate issues
2 - tell us what you want to achieve in words rather than SAS, we all
read English but few of us speak SAS
3 - post in plain text not HTML as HTML mangles your post

On 29/09/2017 13:47, Andrew Harmon wrote:

Hello all,

My statistical analysis training up until this point has been entirely
done
in SAS. The code I frequently used was:

*Yield Champagin;

data yield;

set stress;

if field='YV' then delete;

if field='HB' then delete;

if barcode='16187DD4015' then delete;

if barcode='16187DD6002' then delete;

if barcode='16187DD2007' then delete;

if barcode='16187DD5016' then delete;

if barcode='16187DD8007' then delete;

if barcode='16187DD7010' then delete;

if barcode='16187DD7007' then delete;

if barcode='16187DD8005' then delete;

if barcode='16187DD6004' then delete;

if barcode='16187DD5008' then delete;

if barcode='16187DD7012' then delete;

if barcode='16187DD6010' then delete;

run; quit;



Title'2016 Asilomar Stress Relief champagin yield';

proc mixed method=reml data=yield;

class rep Management Foliar_Fungicide Chemical_Treatment;

model Grain_Yield__Mg_h_ =Management|Foliar_Fungicide|Chemical_Treatment
Final_Stand__Plants_A_ / outpred=resids residual ddfm=kr;

random rep rep*Management rep*Management*Foliar_Fungicide;

lsmeans Management|Foliar_Fungicide|Chemical_Treatment / pdiff;

ods output diffs=ppp lsmeans=means;

ods listing exclude diffs lsmeans;

run; quit;

%include'C:\Users\harmon12\Desktop\pdmix800.sas';

%pdmix800(ppp,means,alpha=0.10,sort=yes);

ods graphics off;

run; quit;

proc univariate data=resids normal plot; id Barcode Grain_Yield__Mg_h_
pearsonresid; var resid;
proc print data=resids (obs=3);run;

Can someone please help me convert my code to R? Any help would be much
appreciated.


Thanks,


Andrew Harmon

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Converting SAS Code

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