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Posted 02-07-2013 05:39 PM
(10816 views)

Can someone help me update this code for SAS 9.2 or suggest better. I found it on the web in Google Groups from 1998.

*****************

Proc mixed doesn't compute lsd directly, but it can be done using info. generated by the make statement. Look at this example:

proc mixed;

...

make "diffs" out=diffs;

quit;

data calc_lsd;

set;

lsd=_se_*tinv(1-.05/2,_df_);

**************

Thanks

16 REPLIES 16

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Replace the old make statement with an ODS OUTPUT statement:

ods output diffs=diffs;

And then use:

data calc_lsd;

set diffs;

lsd=stderr*tinv(1 -0.5/2,df);

run;

Steve Denham

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Thank you very much!

The program ran the code, but produced no output.

Can you provide code to generate output?

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Add a proc print.

proc print data=calc_lsd;

var lsd estimate stderr df;

run;

Steve Denham

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Many thanks for this.

Different values of LSD have been printed. which one to consider. The min of all the LSD?

Thanks

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You probably have different values for the standard error of the differences, as a result of unequal observations in the effects you are comparing. Consequently, the LSD will differ from case to case. Sharing some more code, especially your PROC MIXED code, and some info on the design could help clarify this.

Steve Denham

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Many thanks Steve.

below is the dode:

Proc mixed;

class block variety;

model yield=variety;

random block;

lsmeans variety/pdiff;

ods output Diffs=d;

run;

This is an augmented design where 200 varieties and 5 checks have been tested in an Augmented randomized complete block design. The 200 varieties have been unreplicated in 20 blocks of 10 plots each. Each block has been completed by the 5 checks. Hence a total of 300 plots (200+5*20). Thanks

Gaston

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So in the lsmeans table, are the standard errors of the varieties all equal? If not, then there is probably some missing data (variety within a block), so that the standard error of the difference is not constant. Also, are the 5 checks all identical check varieties? This also leads to unequal replication, unequal standard errors of the differences, and consequently, different LSDs.

Also, in a design of this type, block by variety is often included, since not all varieties are seen in each block, but the check varieties are, and this may represent a better source of residual error. Emphasis on the word may, there.

Steve Denham

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In the equation

lsd=_se_*tinv(1-.05/2,_df_);

the value 0.05 represents the significance level, often denote by "alpha." So the answer to your question is that the LSD is for alpha=0.05. Use alpha=0.1 to get the LSD value that you are asking for.

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Thanks!!!

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I want to estimate LSD, can you tell me what is wrong ?

ods output diffs=ppp;

data calc_lsd;

set diffs;

lsd=stderr*tinv(1 -0.05/2,df);

proc print data=calc_lsd;

var lsd stderr df;

run;

For some reason that I ignore SAS indicates that the file diffs can not be created

Tkanks !!!

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