on 181 degrees of freedom
Number of Iterations: 20
Now - how do I get this information to give me predicted values given
the same x-values I used in the experimental model (i.e. from Max.brks
- pretty(range(Max.Spread$Distance), 100)).
Steven Matthew Anderson
Anderson Research, LLC
-05 8.9484e-05 -0.33619
Number of linear predictors: 2
Names of linear predictors: log(mu), log(shape)
Dispersion Parameter for gamma2 family: 1
Log-likelihood: -26.39268 on 123 degrees of freedom
Number of Iterations: 8
Steven Matthew Anderson
Anderson Research, LLC
Statistical
(Simulation.Data,density.data)}
rm(x.Data)
rm(y.Data)
rm(shot2mean.x)
rm(shot2mean.y)
rm(Euclid.Dist)
rm(mean.radius)
}
write.table(
Simulation.Data,
file=paste(dir,/DATA/Simulation_Data.csv,sep=''),
sep=,,
quote=FALSE,
row.names=FALSE,
qmethod=double)
Steven Matthew
I have a data.frame with three columns + the row number
Sample MidPoint Count
[1,] 10.025 1
[2,] 10.075 3
[3,] 10.12515
[4,] 10.17512
[5,] 10.225 5
[6,] 10.275 8
When I export the data to a
Is it possible to have variable driven csv file names? Such as:
ds.name-bob.csv
write.table(
distribution.data,
file = ~//Documents/Research/Distribution Analysis/ds.name,
sep = ,,
col.names = FALSE,
qmethod = double)
Steven Matthew Anderson
Anderson Research, LLC
Is there a way to just produce the data object in histogram() and not
run the plot portion? All I want it the $mids and $counts.
Thank you
Steven Matthew Anderson
Anderson Research, LLC
Statistical Programming and Analysis
SAS (R) Certified Professional
adastr...@mac.com
Ad Astra per
to j
I have 60 levels to apply this to.
There is the combination function in the dprep package but I wasn't
sure how to use this or apply an index the points in each group.
Any ideas?
Steve
Steven Matthew Anderson
[EMAIL PROTECTED]
Ad Astra per Aspera
= ES.Data, INDEX = Level, FUN = ES) :
arguments must have same length
On Aug 27, 2008, at 2:30 PM, Jorge Ivan Velez wrote:
R-help@r-project.org
Steven Matthew Anderson
[EMAIL PROTECTED]
Ad Astra per Aspera
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