Hi Susana,
I ran your code on a fake data frame:
datos<-data.frame(id=paste0("s",1:65),
group=c(rep("control",30),rep("treat",35)),
cannabis0=sample(1:5,65,TRUE),
cannabis6=sample(1:5,65,TRUE),
cannabis9=sample(1:5,65,TRUE),
cannabis12=sample(1:5,65,TRUE),
cannabis18=sample(1:5,65,TRUE))
tim
Dear Peter,
Thank you very much for this.
To clarify slightly, the bug affects not just the Rcmdr package but use of the
tcltk package on Windows more generally.
Best,
John
-
John Fox, Professor Emeritus
McMaster University
Hamilton, Ontario, Canada
Web:
Unfortunatly, a memory allocation bug prevented the R Commander package from
working on Windows. This is fixed in R-patched, but we cannot have this not
working in the official release when IT departments start installing for the
Fall semester, so we need to issue a new release.
Full schedule i
> Actually „y“ is growing temperature, which, at some point, rise more rapidly
> due to exothermic reaction.
> This reaction starts and ends and proceed with some speed (hopefully
> different in each material).
Are you applying external heating or is it solely due to reaction kinetics?
Steve
Dear Susana
Without your dat it is hard to say (and it would have helped to know
where mixor() comes from) but this almost always means that ne of your
parameters to the call is not what you thought it was so trying str(res)
might be enlightening. Also I do not see anywhere in your example wh
Not sure, and we don't have your data, datos, but this is almost always a
bad thing to do:
res<-data.frame(cbind(id, group, time, cannabis))
Change it to:
res<-data.frame(id, group, time, cannabis)
## and you then won't need to name them either
and see if that fixes things.
Also, res$id is prob
Can't tell... example is not reproducible because it is missing "datos'.
On June 9, 2020 4:33:24 AM PDT, SUSANA ALBERICH MESA
wrote:
>Hi,
>I'm trying to run an ordinal mixed effects model with Mixor command. I
>have 65 cases and repeated visits in 0, 6, 9, 12 and 18 months. My code
>is the follo
Hi,
I'm trying to run an ordinal mixed effects model with Mixor command. I have 65
cases and repeated visits in 0, 6, 9, 12 and 18 months. My code is the
following:
cannabis<-c(datos$cannabis0, datos$cannabis6, datos$cannabis9,
datos$cannabis12, datos$cannabis18)
time<-c(rep(0, 65), rep(6, 65),
Hallo Patrick
Thanks. Actually „y“ is growing temperature, which, at some point, rise more
rapidly due to exothermic reaction. This reaction starts and ends and proceed
with some speed (hopefully different in each material). I hope to get starting
point and speed of temperature rise by evalu
Dear all
I have several files with data like those.
> dput(temp)
temp <- structure(list(V1 = c(0L, 15L, 30L, 45L, 60L, 75L, 90L, 105L,
120L, 135L, 150L, 165L, 180L, 195L, 210L, 225L, 240L, 255L, 270L,
285L, 300L, 315L, 330L, 345L, 360L), V2 = c(98.6867, 100.8,
103.28, 107.44, 110.06, 114.2
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