topic How to assign weights to rice production in irrigation vs No irrigation in Statistical Procedures

How to assign weights to rice production in irrigation vs No irrigation

Makitisinde — Tue, 02 Jul 2019 08:11:14 GMT

Hello, I am tasked with computing average yield for different schemes. Some with irrigation and others do not have irrigation. Obviously I can not combine everything since those with irrigation will most likely have higher yield.

How can you help me to assign weights for the two sets of produce.

We have actual weight per kilo of paddy for each of the schemes. Please help!

Thanks in advance

Re: How to assign weights to rice production in irrigation vs No irrigation

Rick_SAS — Tue, 02 Jul 2019 12:29:05 GMT

I don't think this problem requires weights. From what you've said, this sounds like a classical ANOVA design. To begin your analysis, look at the "Getting Started Example" in the PROC GLM documentation.

Your syntax will look something like this:

proc glm data=Yield;

class Irrigation; /* binary 0/1 variable */

model Yield = irrigation;

run;

Re: How to assign weights to rice production in irrigation vs No irrigation

Makitisinde — Wed, 03 Jul 2019 07:26:33 GMT

Thanks Rick-SAS, though I may have more questions later. Me and my colleagues feel that we have to assign weights to address the intervention difference between the different schemes.