You have applied to an inappropriate forum using an inappropriate communication
format for your question.
You should read the Posting Guide to fill in your misunderstanding for future
use of this from, but more immediately you should check out the CrossValidated
web site for help regarding how
Dear R-help team,
Good afternoon. I need your help regarding the attached file. My questions
are:
1. Is my result analysis right?
2. How can I compare the result between this single and multiple regression?
With thanks and best regards.
--
Ripon Kumer Saha
Student of Masters Program in Economic Fa
many days now. reply like yours, simply wont help. anyway, thanks for
your advice.
eliza
> Date: Fri, 26 Oct 2012 16:36:27 -0700
> From: ehl...@ucalgary.ca
> To: eliza_bo...@hotmail.com
> CC: r-help@r-project.org
> Subject: Re: [R] regression analysis in R
>
> On 2012
On 2012-10-26 13:00, eliza botto wrote:
Dear useRs,
i have vectors of about 27 descriptors, each having 703 elements. what i want
to do is the following 1. i want to do regression analysis of these 27 vectors
individually, against a dependent vector, say B, having same number of
elements.2. i
t(res2rSquare)
#[1] 0.8444332 0.6316695 0.6971695 0.7322519 0.4328805
For selection of the best model based on combination of descriptors, you can
also look for step-wise elimination, or based on AIC or BIC values.
A.K.
- Original Message -
From: eliza botto
To: "r-help@r-projec
n of the best model based on combination of descriptors, you can
also look for step-wise elimination, or based on AIC or BIC values.
A.K.
- Original Message -
From: eliza botto
To: "r-help@r-project.org"
Cc:
Sent: Friday, October 26, 2012 4:00 PM
Subject: [R] regression an
Dear useRs,
i have vectors of about 27 descriptors, each having 703 elements. what i want
to do is the following 1. i want to do regression analysis of these 27 vectors
individually, against a dependent vector, say B, having same number of
elements.2. i would like to know best 10 regression res
Something like that should work, though you might need to construct
the formula as a string:
paste("y ~", names(x)[i])
instead.
More worrisome is the methodology: doing 10k regressions on a single
response is almost guaranteed to give spurious results. This
methodological mistake has different n
Hi,
I have to do 10,000 linear regression analysis, and the response variable
(RESP) is the same for all independent variables (10,000).
y ~ x[i]
i = 1, ..., 1
For each analysis must extract the p-value and put them in an orderly
increasing.
I thought an analysis of the type:
ana = numer
Hello Andrea,
I don't know if I can help you (probably not, I'm a beginner myself),
but you that you should make it a lot easier for those that can if you
post a self-contained script in this forum that shows what you're
trying to do. Use dput() to dump your dataset in text form.
Good luck,
rober
Dear all,
I hope to be the clearest I can.
Let's say I have a dataset with 10 variables, where 4 of them represent for
me a certain phenomenon that I call Y.
The other 6 represent for me another phenomenon that I call X.
Each one of those variables (10) contains 37 units. Those units are just
the
Dear all,
I have a database of 93 variables.
I have created a few subsets (10) by inserting different numbers of
variables in each one of them (the maximum is 6 anyway), like to represent
different phenomena. Hence, this is the logic;
1subset=contains a few variables=expresses 1phenomenon.
Now I
, summary should also give them to you.
Date: Wed, 4 Aug 2010 15:27:40 -0500 From: er...@ccbr.umn.edu To:
jennifer@hotmail.de CC: r-help@r-project.org Subject: Re: [R]
regression analysis with interactions
Jennifer Hou wrote:
Hello,
I have got a linear model that looks like this: lm(criterion
500
> From: er...@ccbr.umn.edu
> To: jennifer@hotmail.de
> CC: r-help@r-project.org
> Subject: Re: [R] regression analysis with interactions
>
>
>
> Jennifer Hou wrote:
> > Hello,
> >
> > I have got a linear model that looks like this:
> >
Jennifer,
Please provide us more information. It would be helpful to see the
actual code you ran along with the actual output. How did you get the
values that your included with your email message? Did you get the
values using the summary function, e.g.
> fit0<-lm(y~x+sex+x*sex)
> summary(fit0)
C
Jennifer Hou wrote:
Hello,
I have got a linear model that looks like this:
lm(criterion ~ variable.A*variable.a + variable.B*variable.b + variable.C
*variable.c)
The output computed with stdCoeff() seems to be all right, but it does not show the
coefficients of the interaction of the first
Hello,
I have got a linear model that looks like this:
lm(criterion ~ variable.A*variable.a + variable.B*variable.b + variable.C
*variable.c)
The output computed with stdCoeff() seems to be all right, but it does not show
the coefficients of the interaction of the first pair of variables. Inst
On 15.06.2010 23:17, Liang Cheng wrote:
Hello:)
I have 4 points in a 2-dimension coordinate. how can I do the regression
analysis and calculate the p-value£¿
Well, you can do by uising lm(), but you should not.
Reporting the values of your 4 points makes more sense than calculating
anything.
Hello:)
I have 4 points in a 2-dimension coordinate. how can I do the regression
analysis and calculate the p-value£¿
thanks a lot,
Liang
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