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:
>da
> -- Bert Gunter
> Genentech
>
>
> - Original Message-
> From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
> On
> Behalf Of Andreas Nord
> Sent: Monday, August 25, 2008 9:22 AM
> To: r-help@r-project.org
> Subject: [R] lmer4 and variable selection
>
tput.
Any advice would be most appreciated.
Kind regards,
Andreas Nord
--
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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,
Andr
why,
but can't 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 27.3324
rstand why,
but can't 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 2
again including "subject"
as a random factor.
Best regards,
Andreas Nord
--
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http://www.nabble.com/Help-with-repeated-measures%21-tf4634251.html#a13233742
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