All,
I currently have a dataset with a variety of different columns, let's say,
A,B,C, and D. I'd like to run an R script that graphs only certain rows of
the dataset based on what's in column A. In awk, it'd be something like:
awk ' { if(A==5 && B ==6) print $0 } ' datafile | command or file
Si
Thanks for the comments. Yes, I also had segmented and then I went away from
that. I can't remember. I've tried using it but I get some sort of strange
error. Here's some code ...
pavlu.glm <- glm(Na ~ yield, data=pavludata, family=gaussian)
pavlu.seg <- segmented(pavlu.glm, seg.Z=~yield, psi=100
Thanks for the comments everyone. I was hoping to not have to find someone in
the stats department ... well, we'll see.
So in response to Z's comment ... I have tried breakpoints(Na ~ yield) and I
did expect to get something continuous. The idea was to get two or three
linear functions making up t
Hi Ken,
Thx for that advice. I took a brief look at it. I already have my curve by
just using the curve() function using the parameters a and b given by the
nls. Would se.fit and interval have computed the CI?
Maybe where I'm confused is at how I can break up my curve into pieces of
linear regres
Dear Forum,
I have been wracking my head over this problem for the past few days. I have
a dataset of (x,y). I have been able to obtain a nonlinear regression line
using nls. However, we would like to do some statistical analysis. I would
like to obtain a confidence interval for the curve. We thou
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