similar to: quadratic trends and changes in slopes

-----Original Message----- Message: 6 Date: Mon, 20 Jan 2003 01:11:24 +0100 From: Martin Michlmayr <tbm at cyrius.com> To: r-help at stat.math.ethz.ch Subject: [R] quadratic trends and changes in slopes I'd like to use linear and quadratic trend analysis in order to find out a change in slope. Basically, I need to solve a similar problem as discussed in

-----Original Message----- Message: 6 Date: Mon, 20 Jan 2003 01:11:24 +0100 From: Martin Michlmayr <tbm at cyrius.com> To: r-help at stat.math.ethz.ch Subject: [R] quadratic trends and changes in slopes I'd like to use linear and quadratic trend analysis in order to find out a change in slope. Basically, I need to solve a similar problem as discussed in

Dear Rxperts, I have a varaibles data file that looks like this p(1) 10 p(1) 3 p(1) 4 p(2) 20 p(2) 30 p(2) 40 p(3) 4 p(3) 1 p(1) 2 I cannot process these data with R because it does not like the parentheses. How can I get these to look like: p1 10 p1 3 p1 4 p2 20 p2 30 p2 40 p3 4 p3 1 p3 2 The data is in a tab delimited text file and I want to get it into a data.frame(). Many thanks in

Hi, Does anybody have experience to solve an quadratic programming problem with quadratic constraints in R? It seems that the package "quadprog" only handles the quadratic programming with linear constraint. My probelm is to maximze x^T\Sigma_{xy} y, subject to x^Tx=1, y^T\Sigma_{yy} y=1, and sum(y)<t, or sum(y)=t, where x and y are the variable, and the Sigma's and t are

Hi all, Could anybody please point me to the solver function in R on QCQP? The quadprog package seems to be only able to handle the linear constraints... Thank you! [[alternative HTML version deleted]]

Dear R-users, I need to produce a histogram where for every breaks there are the mean of the data. I tried tu use the function >hist(x, break=20 ... ) but this return the numerosity for every breaks, not the mean. Any hint? Thanks in advance, francesco --------------------------------------- Francesco Nutini CNR-IREA Ist. per il Rilevamento Elettromagnetico dell'Ambiente Via

Hi there, Is it basically possible to solve a non-convex quadratic programming with optimal solution by any way? What could be the way? How can be this problem dealt with? Could you guide me to some references please? I thank you very much for eny help. Tobi --------------------------------- Boardwalk for $500? In 2007? Ha! ---------------------------------

Dear R Users , As a beginner in QP, I'm trying to solve a Support Vector Machine problem by a QP. In particulare I am using the quadprog package. My questions are here: 1- In the document for the package (The quadprog Package), the inequality constraint is mentioned with >= , however in a standard QP, this usaully is written with <= . This constraint should be multiplied by a

Hi listers, Does anybody knows if the function qda for quadratic discriminant analysis provides the coefficients of quadratic discriminants... Well, I find out that for the linear discriminant analysis lda, the fonction provides the coefficients... Thanks in advance, Marcio -- View this message in context: http://www.nabble.com/Quadratic-Discriminant-Analysis-%28qda%29-tp22747647p22747647.html

Hi, ***** First, let me apologize for the disclaimer that accompanies my mail. I don't add it and I can't take it out. **** Is there any implementation of Linear/Quadratic programming in R? Thanks. Mustaque This message contains confidential information and is intended only for the individual named. If you are not the named addressee you should not disseminate, distribute or copy

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I was thinking about my solve.qp problem on my way home tonight and I think I can fix it by making Dmat the identity matrix. I'll check this weekend to make sure but my thinking is that doing this will make all the "variances" the same so that they shouldn't come into play during the evaluation of the objective function. Thanks though for any confirmation of this or other

Hello, I am estimating the following model: so2.lme<-lme(so2~1+I(alcadakm^2)+dia,data=subjectes2,na.action=na.omit) And when I try to plot the random effects of the quadratic term with respect to a covariate (mam) I get an error: > so2.lmeRE<-ranef(so2.lme,augFrame=T) > plot(so2.lmeRE,form=I(alcadakm^2)~mam) Error in plot.ranef.lme(so2.lmeRE, form = I(alcadakm^2) ~ mam ) : Only

hi, what code in R would I use to solve the problem below? An apartment complex has 250 apartments to rent.If they rent x apartments then their monthly profit is given by: p(x)= -8^x^2 + 3200x -80000 Thanks. [[alternative HTML version deleted]]

Dear R Helpers, I need to find the root of following equation. 0.0016^2 = (0.001*x)^2 + (0.002 * (1-x))^2 + 2 * 0.7 *0.001*0.002 * x * (1-x). I had tried using "animation " package as follows. # My Code library(animation) ani.options(nmax = 500) solu = newton.method(function(x) 0.0016^2 - 0.001^2*x^2 - 0.002^2*(1-x)^2 - 2*0.7*0.001*0.002*x*(1-x), 1, c(-1,1)) solu$root #

Hello. I'm trying to solve a quadratic programming problem of the form min ||Hx - y||^2 s.t. x >= 0 and x <= t using solve.QP in the quadprog package but I'm having problems with Dmat not being positive definite, which is kinda okay since I expect it to be numerically semi-definite in most cases. As far as I'm aware the problem arises because the Goldfarb and Idnani method first

Hi All, I am a newcomer to S/R. Could you please let me know how to model quadratic trends for the mul/sigl link functions when fitting non-stationary GEV distributions using the ismev package? Thanks Best Regards, Mohammad Ashrafuz Zaman PhD Candidate School of Engineering Building XC, Room 1.02 (Kingswood Campus) University of Western Sydney Locked Bag 1797, Penrith South DC NSW 1797

Hi All, I am a newcomer to R. Could anyone explain me how to define link functions for either mu/sigma to allow for quadratic trends in the same, when fitting non-stationary GEV distributions? Thanks -- View this message in context: http://www.nabble.com/QUADRATIC-TREND-FOR-LINK-FUNCTIONS-ON-NON-STATIONARY-GEV-tp23360751p23360751.html Sent from the R help mailing list archive at Nabble.com.

Hello, I have a linear problem with quadratic constraints but i have no idea about what package to use... any help? Thanks in advance

Dear all, I am using the pls package of R to perform partial least square on a set of multivariate data. Instead of fitting a linear model, I want to fit my data with a quadratic function with interaction terms. But I am not sure how. I will use an example to illustrate my problem: Following the example in the PLS manual: ## Read data data(gasoline) gasTrain <- gasoline[1:50,] ## Perform