Hi:
Your approach to computing the means is not efficient; a better way
would be to use the aggregate() function. I would start by combining
the grouping variable and the three prediction variables into a data
frame. To get the groupwise mean for all three prediction variables,
you can use a formu
i will include the data to read if if you so choose.
dat <- read.dta("http://quantoid.net/hw1_2011.dta";)
model in question:
mod99 <- glm(democracy ~ popc100kpc + ngrevpc, data=dat, family=binomial)
--
looking for average effects code, with error on mod99. popckpc is coded in
1
How about posting a reproducible sample, so that we can see what is going on?
Read the posting guide!!!
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Bart,
I apologize. I posted the code I was using in my first comment, to include
the error and the plot that is coming up. I was unaware that was not
enough. I am not looking for anyone to give me the actual answer to my
specific issue, only looking to be pointed in a direction for an online
g
Hi Denins, and thanks for your reply.
I understand x,y are not lining up. I just don't know how to fix it in the
code.
There is only a small group of us at my university using R (4 people of
which I am one). 2 are not even touching the average effects plot option,
however myself and my study pa
let me clarify, i understand what differing x, y lengths mean. i understand
the concept of average effects, etc. i just don't understand how one would
fix it.
thanks.
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hi... i am a phd student using r. i am having difficulty plotting average
effects. admittedly, i am not really understanding what each of the
commands mean so when i get the error i am not sure where the issue is.
here is my code... i will include the points at which there are errors
> da
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