Thanks PaigeMiller, Your comments are highly valued. I assume that the loadings in the dimensions are my r squared irrespective of the sign (+ or -).   In OLS, I was able to find the effect of one parameter (model Yield = rainfall) and mutliple parameters (Model Yield= rainfall Temperatutre) and I got the r-squared for the two models. Do you think I can  try this in PLS?.   Most importantly, please do you think I have used the best approach for this data, if not WHAT WOULD YOU SUGGEST.     Thanks. ... View more

Thank you so much PaigeMiller. I went through the material you sent and got lots of information.   1. Please do you have any idea how I can eliminate the effects of other controlling factors, i mean the calculations ?, my target is rainfall and I want to eliminate the effects of temperature and solar radiation   2.Please how do I interprete the results I got in my last attached file, I have 3 factors but I don't know which is which     ... View more

Thanks a lot Steve. ... View more

Thanks Steve. My case is that I have 5 years factorial experiment. Test for normality within years showed that all my data are normally distributed EXCEPT ONE YEAR. But when I test the data across years (multi) for normality, they were normally distributed.   I did my analysis the first time in proc mixed (code below with input from you Steve),   proc mixed data= AllBiomass;    class Year Rep T_System;    (note STEVE, T_System is a combination of my tillage and rotation treatments)    model &var = T_System;    random Rep(year)year year*T_System/solution;    repeated year/subject=rep*T_System type=ar(1) RCORR;    Lsmeans T_System/diff=all;   I feel I should have a second opinion (another SAS procedure) to better explain my findings.   Please do you think I am better off with Proc GLIMMIX or the npar1way is fine.   Your suggestion will be appreciated     ... View more

Thanks a lot Steve. Please is it possible to have a fixed and random effects in Proc nPar1way? ... View more

Hi PG, Thanks for all the valuable suggestions. Will it be possible for me to run the same analysis on multiple variable?. For instance, I have 3 different depths of nutrient that I wil like to analyse, I used the code below:   create table comp as select * from   (select distinct T_System as T1 from AllNutrients),    (PG, because the data is on a sheet named AllNutrients)   (select distinct T_System as T2 from AllNutrients) where T2 > T1; create table compNutrients as select T1, T2, T_System, K030, N030, P030 from comp inner join AllNutrients on T1 = T_System or T2 = T_System order by T1, T2, T_System; quit; proc npar1way wilcoxon data = compNutrients; by T1 T2; class T_System; var K030; var N030; var P030; exact wilcoxon; ods output WilcoxonTest=WT_results; run; proc print data=WT_results; run;   BUT I  KEPT GETTING ERROR, DO I HAVE TO RUN IT SEPARATELY FOR EACH OF THE VARIABLE?.   Your suggestion willbe appreciated.   Thanks. ... View more

Thanks a lot PG, it worked and the summary of my results is attached. 1. My interpretation of the result is that the treatments are significantly different with the exception of HIGH DC_W vs LOW DC_W, and LOW DC_W vs LOW SC_W. 2. The analysis did not give me the mean values of the yield, although I have these values in the previous Proc mixed analysis but is it possible to get this in proc npar1way. Thanks so much.     Nike ... View more

Hi PG, Thanks so much. I tried the code but got some errors (below).  I am sure I am missing something but I don't know what. I'll appreciate your suggestion. please find attached my SAS CODE .       64          AllYield2015T) where T2 > T1; create table compYield2015T as select T1, T2, T_System, After_Cleaning from comp inner 64       ! join AllYield2015T on T1 = T_System or T2 = T_System order by T1, T2, T_System; quit;  proc npar1way wilcoxon data = 64       ! compYield2015T by T1                           __                           22 ERROR 22-322: Syntax error, expecting one of the following: ;, (, AB, ADJUST, ALPHA, ANOVA, CONOVER, CORRECT, D, DATA, DSCF, EDF,               FP, HL, KLOTZ, KS, KS1, MEDIAN, MISSING, MOOD, NOPRINT, NORMAL, PERM, PLOTS, SAVAGE, SCORES, ST, VW, WILCOXON.   NOTE: Line generated by the invoked macro "ROTATION". 64          AllYield2015T) where T2 > T1; create table compYield2015T as select T1, T2, T_System, After_Cleaning from comp inner 64       ! join AllYield2015T on T1 = T_System or T2 = T_System order by T1, T2, T_System; quit;  proc npar1way wilcoxon data = 64       ! compYield2015T by T1                           __                           202 ERROR 202-322: The option or parameter is not recognized and will be ignored.      WARNING: Output 'WilcoxonTest' was not created.  Make sure that the output object name, label, or path is spelled correctly.  Also,          verify that the appropriate procedure options are used to produce the requested output object.  For example, verify that          the NOPRINT option is not used. ERROR: File WORK.WT_RESULTS.DATA does not exist. NOTE: The SAS System stopped processing this step because of errors. ERROR: INPVALUES= must have the RAW_P variable. ... View more

Hi Ivm, Thanks for your observation and advice. First I conducted the analysis across and then within the 5 years because I am interested in both. Please find below the code used proc mixed data= AllYield2015T; class Year Rep T_System; model &var = T_System; random Rep(year)year year*T_System/solution; repeated year/subject=rep*T_System type=ar(1) RCORR; Lsmeans T_System/diff=all; run; After this code, I had my contrast statements. And also below is the code I used to test for Normality: proc print data = Pred; var year resid Pred; proc plot data = Pred; by year; plot resid*Pred resid*T_System/vref=0; proc univariate normal data = Pred; by year; var resid; ods output moments = getsd; proc univariate data=Pred; by year; var resid; histogram resid / normal; QQplot resid; run; 2. I am not trying to work from the answer (looking for how to get exactly what I thought the results should be), I was only trying to run another analysis (MAYBE MULTIVARIATE WHICH I AM NOTFAMILIAR WITH YET) to be sure of the results I have. I have always believed in 2nd or 3rd opinion in whatever I do. I will go through the manuscripts by H.P. Piepho as you suggested. AT THE SAME TIME ANY HELP / SUGGESTION WILL BE APPRECIATED ... View more

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