ged in more recent versions of package lme4 that I
find it very error prone to use. I wish the effort to write a replacement had
continued but my searches have suggested to me that it has not happened. I'd be
happy to be corrected.
Best;
David.
> Joshua
>
>
> From: David
tember 28, 2016 4:54:46 PM
To: Shuhua Zhan
Cc: r-help@R-project.org; Greg Snow
Subject: Re: [R] How to test a difference in ratios of count data in R
> On Sep 28, 2016, at 9:49 AM, Greg Snow <538...@gmail.com> wrote:
>
> There are multiple ways of doing this, but here are a couple.
&g
if. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
>
> Correlation of Fixed Effects:
>(Intr)
> treatmentB -0.568
>
> Thanks again,
> Joshua
>
> ________________
> From: Greg Snow <538...@gmail.com>
> Sent: Wednesday, September 28, 2
> On Sep 28, 2016, at 9:49 AM, Greg Snow <538...@gmail.com> wrote:
>
> There are multiple ways of doing this, but here are a couple.
>
> To just test the fixed effect of treatment you can use the glm function:
>
> test <- read.table(text="
> replicate treatment n X
> 1 A 32 4
> 1 B 33 18
> 2 A
There are multiple ways of doing this, but here are a couple.
To just test the fixed effect of treatment you can use the glm function:
test <- read.table(text="
replicate treatment n X
1 A 32 4
1 B 33 18
2 A 20 6
2 B 21 18
3 A 7 0
3 B 8 4
", header=TRUE)
fit1 <- glm( cbind(X,n-X) ~ treatment, da
Hello R-experts,
I am interested to determine if the ratio of counts from two groups differ
across two distinct treatments. For example, we have three replicates of
treatment A, and three replicates of treatment B. For each treatment, we have
counts X from one group and counts Y from another gro
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