Dear list,
I want to label outliers in a ggplot box plot with the name of the subject for
which outlying data were observed.
I have proceeded by creating a simple function to identify outliers:
is_outlier <- function(x) {
return(x < quantile(x, 0.25) - 1.5 * IQR(x) | x > quantile(x, 0.75)
Dear list,
Apologies for a likely naive question.
I am trying to create a discriminating dummy variable using 'ifelse' based on
conditions in two variables.
Specifically, I want to assign levels in a new factor as '0' or '1' based on a
user-defined cut off. I.e. something similar to:
.
Kind regards,
Andreas Nord
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Behalf Of Andreas Nord
Sent: Monday, August 25, 2008 9:22 AM
To: r-help@r-project.org
Subject: [R] lmer4 and variable selection
Dear list,
I am currently working with a rather large data set on body temperature
regulation in wintering birds. My original model
Dear all,
I've been trying to install the lme4 package from
http://r-forge.r-project.org/projects/lme4/. However, when wanting to load
the package, I get an message saying that x-tabs are masked (see pasted
code). Can anyone point to what has gone wrong?
Kind regards,
Andreas Nord
Sweden
really figure it out. So, what has happened and why? How to best
interpret it?
Further, any advice on how to best generate F-distributions from the
lme-function is most appreciated.
Many thanks in advance,
Andreas Nord
Sweden
ind treat egg.temp kjday
79 2 27.33241 42.048
42 2
factor.
Best regards,
Andreas Nord
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