Everything if possible. But, the most important values that I want to back transform are slope, intercept and standard error. ... View more

Hi Bailardw, Thank you for your answer. I got two data outputs: one is variables did not transform and the other output did transform by log-log model (natural log). Based on the output from the log-log model, it does not make sense since, based on our expectation (Visualize our data set), TRL(y) must be higher than PTRL(x). I want to perform a log-log model since it fits the linear regression assumption. This means a one percent increase of the log-transformed TRL (y) was estimated to increase by 0.96% in PTRL(x). (So it means x is higher than y. This conclusion doesn't make sense, but the data fits the linear regression assumption.) This means 1 cm TRL (y) was estimated to increase by 2.1 cm in PTRL (x). (So it means y is higher than x.) (So it means y is higher than x. This conclusion makes sense, but the data does not fit the linear regression assumption.)   I want to back-transform the log-log model because I want to see the real number to decide whether the output result makes any sense.    Both variables did not transform   Both variables did transform by natural log     ... View more

Thank you for asking. I did run your code you provided but my data did not converge. ... View more

It works. Thank you so much! ... View more

ilink does not work do you have any suggestion ... View more

Thank you Paige! I not really want to use proc glimmix because of my data set and objective. ... View more

Thank you for the info. I am confused about how to integrate proc plm into my code. Can you help me out ... View more

I am using SAS9.4 and it is installed on my computer. Will it be the same as SAS/IML? ... View more

I am not familiar with PROC PLM. Would you mind helping me check my data set and see whether it will be suitable for PROC PLM? ... View more

Can I know where can I get or download the A:PDMIX612.SAS? Is it something that I can create or I need to get from somewhere ... View more

Thank you for the information. I did the extra codes in my code but I got an error showing ! %pdmix612(DIFFSDATASET, LSMEANSDATASET, alpha=0.05, sort=NO, worksize=1); Error; incoccerct5INCLUDE statement will not be executed. There is a syntax error. WARNING: Apparent invocation of macro PDMIX612 not resolved. Do you know what is happening?     Data RM;   set RM;   A_new = A + 1;   A_sq = sqrt(A_new);   A_log = log(A_new); run;   ods graphics on;   proc sort data= RM;  by EU Day; run;   %macro one(type); proc mixed data= RM cl plots=residualpanel (conditional) plot=boxplot (conditional); class Block Day Accession Irrigation EU;   model A_new = Accession Day Irrigation Accession*Day Accession*Irrigation Irrigation*Day Accession*Irrigation*Day / ddfm=satterth; /*Satterthwaite ddf are requested.  Without this specification, Proc Mixed may give erroneous ddf for repeated measures,*/ Random Block; repeated Day / subject=EU type=&type r rcorr; lsmeans Accession Day Irrigation Accession*Day Accession*Irrigation Irrigation*Day Accession*Irrigation*Day/adjust=Tukey pdiff;   /* Save LSMEANS into a dataset (e.g., LSMEANSDATASET) */   make lsmeans out=LSMEANSDATASET noprint;     /* Save pairwise differences into a dataset (e.g., DIFFSDATASET) */   make diffs out=DIFFSDATASET noprint;   run;   /* Include the external macro %pdmix612 and call it to perform letter annotation */ %include A:PDMIX612.SAS; %pdmix612(DIFFSDATASET, LSMEANSDATASET, alpha=0.05, sort=NO, worksize=1);     %mend one; /*"%mend" indicates the end of the macro*/ %one(un); /*each time we write "%one" we are calling up the macro and running it with the type of Covariance structure designated in the parenthesis.  For example, on this line we are saying, "Run the macro "one" using the unstructured covariance matrix" ("unstructured" means all variances and covariances are estimated separately) */ /*%one(ar(1)); */ /*%one(arh(1)); */ /*%one(toep); */ /*%one(toeph); */ %one(ante(1)); run; ods graphics off; ... View more