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
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.
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.
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
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R-help@r-project.org mailing
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.
The princomp command don't match with this matrix.
Anybody knows a good
into.
Joe
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On Behalf Of Noela Sánchez
Sent: Thursday, November 06, 2008 1:10 PM
To: stephen sefick
Cc: r-help@r-project.org
Subject: Re: [R] PCA
My matrix have 436 registers and 518 variables. I need to do
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