y other pointers,
thanks
Manuel
--- Prof Brian Ripley <[EMAIL PROTECTED]>
escribió:
> On Thu, 20 Apr 2006, Manuel Gutierrez wrote:
>
> > Is it possible to include a factor in an nls
> formula?
>
> Yes. What do you intend by it? If you mean what it
> would mean
> Cheers
>
> Andrew
>
> On Thu, Apr 20, 2006 at 11:18:02AM +0200, Manuel
> Gutierrez wrote:
> > Is it possible to include a factor in an nls
> formula?
> > I've searched the help pages without any luck so I
> > guess it is not feasible.
> > I
Is it possible to include a factor in an nls formula?
I've searched the help pages without any luck so I
guess it is not feasible.
I've given it a few attempts without luck getting the
message:
+ not meaningful for factors in:
Ops.factor(independ^EE, a)
This is a toy example, my realworld case is
But I can not find what is "form".
Any help, please.
Manuel
Manuel Gutierrez wrote:
> The option se.fit in predict.nls is currently
ignored.
> Is there any other function available to calculate
the
> error in the pr
The option se.fit in predict.nls is currently ignored.
Is there any other function available to calculate the
error in the predictions?
Thanks,
Manuel
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Are there any functions to do error propagation in R?
I have done a search with little success. Any
pointers to read about this topic are greatly
welcomed.
My specific problem is: I use a linear model (lm) to
predict the biomass of an individual in a population,
then I add up the biomass of all in
Are there any functions to do error propagation in R?
I have done a search with little success. Any
pointers to read about this topic are greatly
welcomed.
My specific problem is: I use a linear model (lm) to
predict the biomass of an individual in a population,
then I add up the biomass of all in
I have a linear model y~x1+x2 of some data where the
coefficient for
x1 is higher than I would have expected from theory
(0.7 vs 0.88)
I wondered whether this would be an artifact due to x1
and x2 being correlated despite that the variance
inflation factor is not too high (1.065):
I used perturbat
Thanks to all,
Yes, I meant a single test for both coefficients.
Peter's reply is what I wanted. I've tried with
linear.hypothesis but I must confess that with my
limited statistical experience and without the car
book at hand, the nomenclature for the function was a
bit difficult to understand for
In a multiple linear regression with two independent
variables is there any function in R to test for the
coefficients being different than some given values?
Example:
x1<-rnorm(100)
x2<-rnorm(100)
y<-3+0.6*x1+0.3*x2
lm(y~x1+x2)
Obtain a test for the coefficients for x1 being
different than 0.6 a
I am trying to understand how the SOM algorithm works
using library(class) SOM function.
I have a 1000*10 matrix and I want to be able to
summarize the different types of 10-element vectors.
In my real world case it is likely that most of the
1000 values are of one kind the rest of other (this is
a
I've a linux system with 2Gb of memory which is not
enough for reading a 446Mb netcdf file using ncdf:
library(ncdf)
ncold <- open.ncdf("gridone.grd")
Error: cannot allocate vector of size 1822753 Kb
When I look at the free memory in my system I can see
that none of the Swap space is being used b
When I try to unlist a very large list, R is killed
without any other warning:
A<-as.list(as.data.frame(matrix(1:21639744,nrow=3578,ncol=6048)))
with
AA<-unlist(A)
or
AA<-c(A,recursive=TRUE)
I get a
R terminado (killed)
and the end of the session.
I think I'll need to get more RAM (now 1Gb, any o
I could not find any help pages on How to test many
objects for being of equal length
Something like identical for more than two objects?
x<-1:6
y<-1:10
z<-3:5
## For two objects I can do:
identical(length(x),length(y))
## For more than two I currently can do:
length(unique(c(length(x),length(y),le
an Ripley <[EMAIL PROTECTED]>
escribió:
> Can you please tell us what locale you are working
> in?
>
> This looks as if the problem might be the use of a
> UTF-8 locale, which R
> does not currently support and which some Linux
> distros have made their
> default.
I have an openoffice spreadsheet with a column of
character strings.
Some of them contain accents.
I want to read it in R so I have saved it as a csv
file using Western Europe (ISO-8859-1) character set
(the default, I've tried other sets but it doesn't
help).
R reads it fine with
CharMatrix<-rea
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