Hi everyone,
So I am trying to see which ecological parameter of different parks in nyc
influence the most the diversity of the medium-sized mammals in those parks.
I have a bunch of different parameters for each park I'm done studying and
the presence (1) and absence (0) of each mammal. I wanted to do a principal
component analysis of those data to know which ones of those parameters are
the most important.
Here is what I have:
Parc PBP VCP PP CP
surfacekm? 0.917 4.64 0.0213 3.4
woodenarea 0.514 0.6355 0.32 0.4952
scrubland 0.0905 0.0412 0.06 0.0498
lawn 0.3654 0.2837 0.50 0.296
lake 0.0028 0.0166 0.12 0.1488
wetareas 0.0273 0.0230 0 0.0102
intertidalearea 0.0283 0 0 0
sportsfields 0.0887 0.2579 0.12 0.1323
humanactivity 0.4196 0.7271 0.23 0.7912
#ofhighways 2 3 0 0
#ofroads 4 22 7 11
distanceA 5.31 4.02 1.61 4.02
distanceB 6.12 4.51 3.7 4.02
distanceC 7.56 5.47 7.72 6.44
distanceD 9.66 9.66 19.31 9.01
AvgPopN 1133 0 5380 6835
AvgPopS 0 7022 5380 4711
AvgPopE 0 3592 8536 4307
AvgPopW 3940 3220 4840 9360
raccoon 1 1 1 1
skunk 1 1 1 1
opossum 1 1 1 0
rabbit 1 1 1 0
groundhog 0 0 0 0
muskrat 0 0 0 0
I get to open the .txt with R but then it gives me something pretty weird
when I try to use the function dudi.pca(parcs)...
Can anyone suggest me how I should to my analysis? I would really really be
thankful for that!
Geo.
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