How do you find additive effect in linear model?
Hi
How do you find additive effect in a linear model in R? What command do you run to get that output?
Here is an example lm: (Yr_SV ~ Marker34, data = DAT)
Any advice will be helpful.
Thanks.
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Kevin Blighe
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wkmustahs21 •
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wkmustahs21 •
1 answer
I am not sure that your question makes sense because there are no additive effects in the model that you specified. Your model makes the assumption that there is a linear relationship between Yr_SV and Marker34. A coefficient (estimate) would be calculated for just Marker34.
Your model would become additive if you had something like this:
Yr_SV ~ Marker34 + Marker35
Now, in this additive model, coefficients will be calculated for both Marker34 and Marker35, and you can list these by doing:
model <- lm(Yr_SV ~ Marker34 + Marker35, data = DAT)
summary(model)
Kevin
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