comparable, considering your response.
I am still confused about interpretation of interactions within an anova()
with an incomplete design, as mine is. Is the interaction term still
informative?
-
Justin Montemarano
Graduate Student
Kent State University - Biological Sciences
http
0.27493
leaf.species:cond.time 0.568 1 0.8462 0.35888
day:leaf.species:cond.time 1.915 1 2.8539 0.09293
Residuals 118.091 176
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Justin Montemarano
Graduate Student
Kent State University - Biological Sciences
http://www.montegraphia.com
http
for Pearson's
test, and I should have had only 7 points, which would reflect the means of
my two variables for each individual animal across 10 days. Is this
appropriate or is there a means of accounting for repeated sampling with a
correlation test?
-
Justin Montemarano
Graduate Student
Kent State
would be greatly appreciated.
-
Justin Montemarano
Graduate Student
Kent State University - Biological Sciences
http://www.montegraphia.com
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Actually I've try that too, Sarah
The test is to run order(levels(total.density)), which I need to be 1 2 3,
not 2 3 1, and your solution still gives me 2 3 1.
I also don't know how to reply to this thread with the previous message
below...
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Justin Montemarano
Graduate Student
Kent State
if
I wasn't clear and/or I've missed your message.
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Justin Montemarano
Graduate Student
Kent State University - Biological Sciences
http://www.montegraphia.com
[[alternative HTML version deleted]]
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https
doesn't do the trick.
-
Justin Montemarano
Graduate Student
Kent State University - Biological Sciences
http://www.montegraphia.com
On Wed, Mar 21, 2012 at 11:42 AM, Ista Zahn istaz...@gmail.com wrote:
Hi Justin,
this gives the correct order (8, 16, 32) on my machine:
total.density -
c
prompted me to discover my
error; thanks all.
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Justin Montemarano
Graduate Student
Kent State University - Biological Sciences
http://www.montegraphia.com
On Wed, Mar 21, 2012 at 12:42 PM, R. Michael Weylandt
michael.weyla...@gmail.com wrote:
You'll also want to use dput() to send us an exact
of data. Thanks for any help.
-
Justin Montemarano
Graduate Student
Kent State University - Biological Sciences
http://www.montegraphia.com
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Use which()
vec_out - which(vec == T)
-
Justin Montemarano
Graduate Student
Kent State University - Biological Sciences
http://www.montegraphia.com
[[alternative HTML version deleted]]
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https
rock movement (BEDLOAD) as a random
co-variate, which is not possible with the coxph() function. Is it
possible to do so with coxme() in the kinship package? If so, what is
the proper syntax?
Thanks for any help.
Justin Montemarano
__
R-help@r
Hello all:
I'm having some difficulty interpreting the results of a Cox
proportional hazards analysis that I recently performed. I
am running the fit with a fixed categorical variable (Treatment) and a
nested categorical variable (Chamber) within Treatment. The likelihood
ratio tests of both of
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