Thanks Dennis! Worked perfectly. I keep forgetting that plyr can split data
based on multiple subsetting variables.
Thanks so much,
Nate
On Mon, Aug 22, 2011 at 10:12 PM, Dennis Murphy wrote:
> Hi:
>
> You're kind of on the right track, but there is no conditioning
> formula in lm(); it's not l
At 02:15 23/08/2011, Nathan Miller wrote:
Hi all,
See comment in-line
I have a data set that looks a bit like this.
feed1
RFU Site Vial Time lnRFU
1 811 10 10.702075
2 4752111 20 10.768927
3 4290511 30 10.66674
4 4686711 40
Hi:
You're kind of on the right track, but there is no conditioning
formula in lm(); it's not lattice :) This is relatively easy to do
with the plyr package, though:
library('plyr')
# Generate a list of models - the subsetting variables (Site, Vial) are
# used to generate the data splits and the
You can do something like this
sp<-split(dat, list(dat$Vial,dat$Site))
seq.model<-lapply(sp, function(x) lm(x$InRFU~x$Time))
Then, extract whatever you want from seq.model
Weidong Gu
On Mon, Aug 22, 2011 at 9:15 PM, Nathan Miller wrote:
> Hi all,
>
> I have a data set that looks a bit li
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