Re: [R] multiple linear regression with quadratic function

Inline. -- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Tue, Feb 23, 2016 at 2:42 AM, wrote: > Dear R community, > this is probably a well-known topi

Re: [R] multiple linear regression with quadratic function

That's pretty standard. Some call it "response surface analysis". Of course you need to check assumptions like homoscedasticity on the log scale, etc. It's not really an R question, specifically; so stats.stackexchange.com is a better avenue for more detailed discussions. As far as R goes, you j

[R] multiple linear regression with quadratic function

Dear R community, this is probably a well-known topic to some of you, but I am not well into it and would like some clarifications or even jus some suggestions. I have a quadratic scalar field: F(x,y)=K*exp(-(a*x^2+b*y^2+c*x*y)) I also have a random set of positive x,y values and related

Re: [R] Multiple linear Regression: Standardized Coefficients

It's a bit dangerous to call them "betas" in this list. Standardized regression coefficients sounds much better :) A simple way is to first standardize your variables and then run lm again. lm(scale(height)~scale(age) + factor(sex)) # or, depending on what you want: lm(height~scale(age)+factor(

[R] Multiple linear Regression: Standardized Coefficients

Hello everybody, Can anyone tell me, how to obtain standardized regression coefficients (betas) for my independent variables when doing a multiple linear regression? height<-c(180,160,150,170,190,172) sex<-c(1,2,2,1,1,2) age<-c(40,20,30,40,20,25) fit<-lm(height~age+sex) summary(fit) I already h

Re: [R] Multiple linear regression with constraint (imposition)

Thank you David David Winsemius wrote: > > > On Oct 30, 2009, at 7:47 PM, CE.KA wrote: > >> >> Sorry there was a mistake: > > I could not see what was different? > >> >> Hi R users >> >> I want to do a multiple linear regression with R >> >> With a normal model (Y=Cste+A1*X1+A2*X2) the prog

Re: [R] Multiple linear regression with constraint (imposition)

ne and Gerontology > School of Medicine > Johns Hopkins University > > Ph. (410) 502-2619 > email: rvarad...@jhmi.edu > > > - Original Message - > From: "CE.KA" > Date: Friday, October 30, 2009 7:48 pm > Subject: Re: [R] Multiple linear regression

Re: [R] Multiple linear regression with constraint (imposition)

- Original Message - From: "CE.KA" Date: Friday, October 30, 2009 7:48 pm Subject: Re: [R] Multiple linear regression with constraint (imposition) To: r-help@r-project.org > Sorry there was a mistake: > > Hi R users > > I want to do a multiple linear regr

Re: [R] Multiple linear regression with constraint (imposition)

On Oct 30, 2009, at 7:47 PM, CE.KA wrote: Sorry there was a mistake: I could not see what was different? Hi R users I want to do a multiple linear regression with R With a normal model (Y=Cste+A1*X1+A2*X2) the program would be lm(Y~X1+X2) My model is Y=Cste+A1*X1+A2*X2 with the constra

Re: [R] Multiple linear regression with constraint (imposition)

Sorry there was a mistake: Hi R users I want to do a multiple linear regression with R With a normal model (Y=Cste+A1*X1+A2*X2) the program would be lm(Y~X1+X2) My model is Y=Cste+A1*X1+A2*X2 with the constraint A1=-A2 What is the program for such a model? Best regards -- View this message

[R] Multiple linear regression with constraint (imposition)

Hi R users I want to do a multiple linear regression with R With a normal model (Y=Cste+A1*X1+A2*X2) the program would be lm(Y ~X2+X2) My model is Y=Cste+A1*X1+A2*X2 with the constraint A1=-A2 What is the program for such a model? Best regards -- View this message in context: http://old.na

Re: [R] multiple linear regression

Ronggui Huang wrote: pls use lm(y ~ x1+x2) and perhaps have a look at chapter 11 in the Introduction to R manual which you will probably find right there already on your computer. Peter Ehlers 2009/8/21 Inchallah Yarab : Good morning, I want to make a linear regression of a variable fucti

Re: [R] multiple linear regression

pls use lm(y ~ x1+x2) 2009/8/21 Inchallah Yarab : > Good morning, > > I want to make a linear regression of a variable fuction of  two variables y > = a1 x1 + a2 x2 + c > > I found the function lm (y ~ x)  but it used  for a simple linear regression, > but for  multiple regression i do not know

[R] multiple linear regression

Good morning, I want to make a linear regression of a variable fuction of  two variables y = a1 x1 + a2 x2 + c I found the function lm (y ~ x)  but it used  for a simple linear regression, but for  multiple regression i do not know which function do this!!  Can you help me please!!  Thank y

Re: [R] Multiple linear regression with for loop

I'm not sure if this is what you want but if you have a matrix as response, you can use the matrix ~ term: example: x <- 1:10 y <- rep(rnorm(10,x,0.5),10) dim(y) <- c(10,10) y <- as.matrix(y) coef(lm(y~x)) Bart Markus "Mühlbacher" wrote: > > Hi everyone! > > I have an array containing the

Re: [R] Multiple linear regression with for loop

Markus Mühlbacher wrote: > Hi everyone! > > I have an array containing the following fields for over hundred compounds: > cpd, activity, fixterm, energy1, energy2, energy3, ... > > I want to run a multiple linear regression on all entries of an array. > Therefore I tried to do this with a fo

[R] Multiple linear regression with for loop

Hi everyone! I have an array containing the following fields for over hundred compounds: cpd, activity, fixterm, energy1, energy2, energy3, ... I want to run a multiple linear regression on all entries of an array. Therefore I tried to do this with a for loop. (Maybe there is a direct way of c