's good that
it works with nlme.
Sebastien Guyader wrote:
>
> Hello,
>
> I'm trying to adjust a non linear model in which the biological response
> variable (ratio of germinated fungus spores) is dependent on 2 covariates
> (temperature and time). The response to te
Hello,
I'm trying to adjust a non linear model in which the biological response
variable (ratio of germinated fungus spores) is dependent on 2 covariates
(temperature and time). The response to temperature is modeled by a kind of
beta function with 2 parameters (optimal and maximum temperatures)
It may not help the original poster, but here's a solution based on what Greg
said above:
# Load plotrix
library(plotrix)
# Create a new layout to divide the graphics in 2, the first one (displaying
the persp() graph) being 4 times larger than the second one (displying the
legend)
layout(matrix
With grDevices package, I do the following to generate a greyscale:
newcols <- colorRampPalette(c("white", "black")) #generates palette from
white to black
#OR
newcols <- colorRampPalette(c("grey90", "grey10")) #generates palette
frome light to dark grey for better visibility
Then in the wir
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