Hi,
I am dealing with how to check in R if some data that I have belongs to a
normal distribution or not. I am not interested in obtaining the
theoreticall frequencies. I am only interested in determing if (by means of
a test as Kolmogorov, or whatever), if my data are normal or not.
But I have t
Hi all,
I need to automate a process in order to prepare a a big loop in the future
but I have a problem with the *command function*
First I fit a model with lm
>
model1<-lm(data2[,2]~data2[,1]+I(data2[,1]^2)+I(data2[,1]^3)+I(data2[,1]^4))
I extract the coefficients to build the polynomial.
c
Hi all,
I need to automate a process in order to prepare a a big loop in the future
but I have a problem with the *command function*
First I fit a model with lm
>
model1<-lm(data2[,2]~data2[,1]+I(data2[,1]^2)+I(data2[,1]^3)+I(data2[,1]^4))
I extract the coefficients to build the polynomial.
c
pletely trustworthy at this point, but SVD
> would be worth looking into.
> > Joe
> >
> > -Original Message-
> > From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
> On Behalf Of Noela Sánchez
> > Sent: Thursday, November 06, 2008 1:10 PM
> > To:
dummy example that explains your problem.
> Then maybe I can help you.
> thanks
>
> Stephen
>
> On Thu, Nov 6, 2008 at 1:42 PM, Noela Sánchez <[EMAIL PROTECTED]> wrote:
> > I need perform PCA analyst with a matrix with more variables than units.
> >
>
I need perform PCA analyst with a matrix with more variables than units.
The princomp command don't match with this matrix.
Anybody knows a good command to do it?
--
Noela
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing
6 matches
Mail list logo