Alternatively you could install the NRAIA package and collapse the
construction of the plot to a call to plotfit as shown in the
enclosed.
Note that this is a poor fit of a logistic growth model. There are no
data values beyond the inflection point so the Asym parameter (the
asymptote) is poorly
Joel,
The following should answer most of your questions:
time <- c(seq(0,10),seq(0,10),seq(0,10))
plant <- c(rep(1,11),rep(2,11),rep(3,11))
severity <- c(
42,51,59,64,76,93,106,125,149,171,199,
40,49,58,72,84,103,122,138,162,187,209,
41,49,57,71,89,112,146,174,218,
Hi everybody,
I'm using the method described here to make a linear regression:
http://www.apsnet.org/education/advancedplantpath/topics/Rmodules/Doc1/05_Nonlinear_regression.html
> ## Input the data that include the variables time, plant ID, and severity
> time <- c(seq(0,10),seq(0,10)
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