28, 2009 at 07:09:04PM -1000, Taylor Hermes wrote:
I tried the following:
Add this before for():
peak - list()
for (i in 1:100) {
peak[[i]] - read.table(paste(i,--one--hist.txt, sep=), sep=,,
header=TRUE)
}
__
R-help@r-project.org
I'm trying to import data from 100 text files and create data frames
that reflect their numbering.
The slow way would be to do the following:
peak1 - read.table(1--peak--hist.txt, sep=,, header=TRUE)
peak2 - read.table(2--peak--hist.txt, sep=,, header=TRUE)
peak3 - read.table(3--peak--hist.txt,
I seek help with nonlinear regression for my data. I've run intro
trouble fitting a model to my data as follows:
rate_parameter stable_population
75 1996.1277
100 1623.2979
125 1362.3475
150 1164.6738
175 1014.8227
200 892.0851
225 794.1844
250 710.1489
275 639.6738
300 578.0496
325
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