Dear All
I am quite new to R and would appreciate some help fitting 95% confidence
intervals to a nls function. I have the data
DOY CET
90 5.9
91 8
92 8.4
93 7.7
95 6.6
96 6.8
97 7.1
98 9.7
99 12.3
100 12.8
102 11
103 9.3
104 9.8
Dear Peter
Thank you that is an error in the code but unfortunately the problem is
still apparent.
I think it is related to calculating the gradient
Tom
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Dear all
I have a dataset examining the probability of a population surviving
(calculated from a logistic regression) of a species over a 200yr period.
The predictor variables are either continuous but non-normal (e.g.
temperature, oxygen) or categorical (e.g. channelisation), unfortunately I
also
We are looking the extinction of a species of freshwater fish. The logistic
regression was derived by scoring the anecdotal descriptions of the species'
former population size (1 for a positive description of the population e.g.
abundant, and 0 for a negative description e.g. scarce) and plotting
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