About Olanike

PaigeMiller · ‎09-30-2024

Many of us refuse to download and open Microsoft Office documents as they are a security threat. Please include your code in your reply by clicking on the text box icon ("little running man" icon) and pasting your code as text into that window.

alimon · ‎09-13-2021

Thanks a lot !

Olanike · ‎04-18-2019

Thank you for the response.

Tom · ‎04-05-2019

@Olanike wrote: Thanks Tom. I can do the interaction if I used card input, but I have been using macro (with my data in excel) but where to fit in my interaction statement is my concern. Thanks you That makes no sense to me. A CARDS statement is something you would use in a DATA step. An interaction is something you would specify in some statistical proc. How you read the data makes no difference once you already have the dataset and are running a PROC.

PaigeMiller · ‎05-28-2018

Well, no thank you. I'm not here to do your modeling for you.

Reeza · ‎10-26-2017

Box plots show: Distribution, measures of centres and outliers. So pick each of those metrics and compare them over the years. How has the distribution changed over the years? Did it get more variable? Or did it get less variable? Did it change at a consistent rate or did it vary, i.e. get high then low. Then rinse and repeat for each of your metrics. Hope that helps you get started.

sld · ‎10-23-2017

The ESTIMATE statements imply that T_System has 12 levels. (I wrongly assumed 4, but that wasn't based on anything that you wrote.) I don't know what these 12 levels are, so I can't provide any feedback.

Olanike · ‎10-18-2017

Much appreciated PG. I will report it as you have advised.

Olanike · ‎07-05-2016

Thanks a lot Steve.

SteveDenham · ‎05-02-2016

Mixed model analyses are robust to minor deviations of normality in the residuals, and it appears that when you fit the repeated measures model, the normality assumption is not violated in any case. I would not move to a distribution-free (nonparametric in npar1way) or generalized mixed model for these data. The analysis fits the study design and the data meet the assumptions of the analytic method To search for another method looks to me like "venue shopping", or "data dredging", until you get something different. Steve Denham

Olanike · ‎02-24-2016

Hi Steve, The code above worked perfectly well but I have a very long list of LSmeans for years and year*T_System. When I use the code below: 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; IT WORKS FINE AS WELL AS WELL BUT I DO NOT HAVE THE YEARLY DIFFERENCE. PLEASE HOW DO I COMPARE TWO YEARS FOR INSTANCE HIGH DC_W 2010 VS DC_W 2011, 2012 AND 2013. THANKS.

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Re: Sas Output not showing at all

Re: Sas Output not showing at all

Sas Output not showing at all

Re: Proc PLS - interpretation of results

Proc PLS - interpretation of results

Re: Using interaction statement in Macro

Using interaction statement in Macro

Interpreting trend using parallel boxplot

Re: Statistical text

Re: Statistical text

Re: P value significant but means are not significant

Re: Multi-year data analysis (with crop rotation) in proc mixed

Re: Sas Output not showing at all

Re: LSD in Proc Mixed

Re: Proc PLS - interpretation of results

Re: Using interaction statement in Macro

Re: Proc PLS syntax and interpretation of results

Re: Interpreting trend using parallel boxplot

Re: Statistical text

Re: P value significant but means are not significant

Re: Multi year data analysis (procedure other than proc mixed)

Re: proc npar1way contrasts statement

Re: Multi-year data analysis (with crop rotation) in proc mixed