Please keep communications on-list.
On 1/2/19 10:57 AM, Marc Girondot wrote:
Le 01/01/2019 à 22:35, Rolf Turner a écrit :
On 1/2/19 9:35 AM, Marc Girondot wrote:
Hello members of the list,
I asked 3 days ago a question about "how to get the SE of all effects
after a glm or glmm". I post he
On 1/2/19 9:35 AM, Marc Girondot wrote:
Hello members of the list,
I asked 3 days ago a question about "how to get the SE of all effects
after a glm or glmm". I post here a synthesis of the answer and a new
solution:
For example:
x <- rnorm(100)
y <- rnorm(100)
G <- as.factor(sample(c("A"
maybe qvcalc https://cran.r-project.org/web/packages/qvcalc/index.html
is useful for you.
Marc Girondot via R-help wrote/hat geschrieben on/am 30.12.2018 05:31:
Dear members,
Let do a example of simple GLMM with x and G as fixed factors and R as
random factor:
(note that question is the same
Dear members,
Let do a example of simple GLMM with x and G as fixed factors and R as
random factor:
(note that question is the same with GLM or even LM):
x <- rnorm(100)
y <- rnorm(100)
G <- as.factor(sample(c("A", "B", "C", "D"), 100, replace = TRUE))
R <- as.factor(rep(1:25, 4))
library(lm
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