Hi
Thanks for your comments. Here is some further explanation of my data.
I observed a group of lemurs twice per week for about five months. I
observed each animal of 12 for one 25 minute period over the day during
which at every 20 second interval I recorded:
1) The behaviour the animal was doing ( e.g. supine lie=55)
2) The weather ( I catogarized this my self (e.g Sun 3 very sunny, Sun
one no sun shining into cage_)
3) The time slot ( for example 8.00- 8.30 = Time slot 1, 8.31- 9.00
=time slot 2)
4)The day
5) The animal ( 1-12 e.g Cetus=2)
I had two groups 1-6 family group, 7-12 Control group.
After 8 weeks of no manipulation, I placed small mesh between the
family group cage whilst leaving the control group alone. After 2 weeks
this was substituted for large mesh, then after two weeks two groups
were formed male and female (thus animals were let into the cages with
one another).
I want to look at the influence of my manipulations to monitor the
reintroduction process but
There are however factors that influenced my data other than the
manipulations such as sun and time. I noticed that during sun 3 the
animals tended to sit upright and supine line, whilst during sun 1 they
tended to curl in a ball. I also noticed that first thing on a morning
the animals I observed were particularly active whilst after about
12.00 they began to just lie about and do very little.
So from this I know that these variables highly influence the
behavioral repertoire of my animals.
I have been using a count of the behaviours for say each animal and
then running cluster analysis (to group animals together in respect to
their behavioral repertoire), then using behavior count for each sun
category to identify associations and grouping of behaviours with each
sun value (and then running Principal components and Correspondence
analysis) then for each time category etc.
I also know that the way behavior changes with sun depends upon the
individual so I had hoped to include individual (animal 1-12) into my
analysis and thus assess the effects of both sun and animal together
hence I hoped to use caconical correspondence analysis.
The counts for some behaviours (e.g prone lie, self groom are very
high= 456) whilst the counts for others is low (e.g chatter =. I ran a
Kolmogren Smirnov that proved the distribution is not normal. The peaks
of the distribution are in the heads and tails.
The corrlations that I ran were also on counts of the behaviour data.
I apologise if I sound very confused but up until about three weeks ago
I didnt really know what any of these things were. I tried hiring
numerous people to help me with my data analysis and even e mailed a
consulting group at my university to help me but nobody seems to have
time to even give me advice. As a result I have spend three weeks night
and day trying to teach myself statistics from books and the internet
and then to apply it to my data. Unfortunatly after a lot of hard work
Im beginning to understand when and why to use specific tests and
analysis but to complicate everything further my data seems to defy the
assumtins of every analyses I have read!!
Any further advice you could give me would be a great help
Thanks
Claire
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