Hi-
I'm wrestling with some of my data apparently not being called into a GLM or
an LM. I'm looking at factors affecting fish annual catch rates (ie. CPUE)
over 30 years. Two of the factors I'm using are sea surface temperature and
sea surface temperature anomaly. A small sample of my data is below:
CPUE
Year
Vessel_ID
Base_Port
Boat_Lgth
Planing
SST
Anomaly
0.127
1976
2
BOI
40
Planing
19.4
-0.308
0.059
1976
30
BOI
40
Displacement
19.4
-0.308
0.033333
1977
46
BOI
45
Displacement
18.5
-1.008
0.169231
1977
2
BOI
40
Planing
18.5
-1.008
0.044118
1977
19
BOI
34
Planing
18.5
-1.008
0.114286
1977
29
WHANGAROA
42
Displacement
18.5
-1.008
Have defined Year, Vessel_ID, Base_Port, Boat_Lgth, Planing as factors, and
CPUE, SST, Anomaly are continuous variables.
The formula I'm calling is: glm(formula = log(CPUE) ~ Year + Vessel_ID +
SST, data = marlin). A summary of the glm includes the following output:
Coefficients: (1 not defined because of singularities)
Estimate Std. Error t value Pr(>|t|)
Vessel_ID80 -0.54093 0.23380 -2.314 0.021373 *
Vessel_ID83 -0.36499 0.20844 -1.751 0.080977 .
Vessel_ID84 -0.23386 0.19098 -1.225 0.221718
SST NA NA NA NA
Can someone explain the output "Coefficients: (1 not defined because of
singularities)"? What does this mean? I'm guessing that something to do
with my SST data is causing a "singularity" but I don't know where to go
from there? Have inspected various R discussions on this, but I haven't
found the information I need.
Many thanks,
Tim Sippel (MSc)
School of Biological Sciences
Auckland University
Private Bag 92019
Auckland 1020
New Zealand
+64-9-373-7599 ext. 84589 (work)
+64-9-373-7668 (Fax)
+64-21-593-001 (mobile)
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