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
[[alternative HTML version deleted]]
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______________________________________________
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and provide commented, minimal, self-contained, reproducible code.
