Hi,
I am working with a large dataset of neotropical birds, and am trying to
partition the variance in log(body mass) within different taxonomic levels.
To better explain what I mean, the taxonomic levels are species, genus,
family, and order. Species are within genera, genera are within famillies
Hi all,
I'm modeling the probability that a subject attacks or rejects a prey
item based on its proportion of yellow coloration and size. There are
two populations of prey, one defended and the other undefended, so
subjects should reject one type and accept others. Each subject has a
unique r
Hi all,
I need help calculating the error rate of an optimal responder to a
multidimensional discrimination task. I have been trying to use pmnorm
to do this, but am not sure about its functionality. I'm working with a
dataset of responses (binary, attack/not attack) of subjects who were
aske
Thanks! Both solutions work well for the problem that I described,
although I failed to mention that there are also pre-abbreviated names
in the list that I'm working with, and the second solution returns NA's
for these (but there are plenty of ways around this). Sample data might
be: State.P
I'm trying to create maps of reptile abundance in different states &
counties using data from Herp.net, which provides lists of specimens
with the places that they were found. First I would like to parse the
list by state using 2-letter abbreviations, since I'm focusing on
certain regions. To
I'm trying to create maps of reptile abundance in different states &
counties using data from Herp.net, which provides lists of specimens
with the places that they were found. First I would like to parse the
list by state using 2-letter abbreviations, since I'm focusing on
certain regions. To
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