SAS codes for estimating a logistic model for cumulative
germination vs time:
Germ = M/(1 + exp(-K*(time-L))),
where Germ = cumulative germination %, M = theoretical maximum for Germ,
K = rate related parameter, and L = time to 50% germination. Estimation
is accomplished through differencing the cumulative form.
Shift "click" or right "click" to retrieve files.
Example Data: Contact Authors
Program Codes: logistic.sas
Maximum likelihood codes for estimating generalized nonlinear models in
the R
language (a S+ clone) have ben written by Jim Lindsey and can be found on
his WEB site .
Graph of cumulative germination for the Idaho population at three temperatures.
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SAS codes and sample data for computing bootstrap
estimates (percentile, bias corrected, and accelerated bias corrected intervals)
of cardinal temperatures based on the roots and maximum of a
fitted quadratic regression. Sample graph and output are given below.
Shift "click" or right "click" to retrieve files.
Example Data: Contact Authors
Program Codes: crup.boot.sas
Graph of inverse time to 50% germination (1/L) for the Idaho population.
Corresponding output files for each population.
Idaho
Oregon
Washington
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