similar to: any linear programming routine in R

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Hi everyone, i?m a new user of R and i?m trying to translate an linear optimization problem from Matlab into r. The matlab code is as follow: options = optimset('Diagnostics','on'); [x fval exitflag] = linprog(f,A,b,Aeq,beq,lb,ub,[],options); exitflag fval x=round(x); Where: f = Linear objective function vector (vector of 45,rows) A = Matrix for linear inequality

Greetings I'm a total newbie in R and I'm trying to make a comparisson of Excel and R in the fields of: - optimisation modeling (using solver) - decision trees - simulation modeling as described in Winston, Wayne L.: Practical Management Science. for optimisation modeling in Excel I would normaly use solver. In R however I can't seem to be able to find the solution. I've

Hi list, I want to find the total maximum resources I can spend given a set allocation proportion and some simple budget constraints. However, I get suboptimal results via lp and friends (i.e. lpSolve and simplex in the linprog and boot) . For example: library(lpSolve) proportions = c( 0.46, 0.28, 0.26) constraints = c( 352, 75, 171) lp(objective.in = proportions, const.mat =

Hi. I am aware of three different R packages for linear programming: glpk, linprog, lpSolve. From what I can tell, if there are N variables and M constraints, all these solvers require the full NxM constraint matrix. Some linear solvers I know of (not in R) have a sparse matrix input format. Are there any linear solvers in R that have a sparse matrix input format? (including the

Dear R team! =20 I found in HTML help for function solveLP(linprog) a small mistake. It says in Description "Minimizes c'x, subject to A x >=3D b and x >=3D 0", but tests show that there should be A x <=3D b. =20 Best regards, =20 Ludek =20 =20 [[alternative HTML version deleted]]

I was playing around with a simple example using solve.qp ( function is in the quadprog package ) and the code is below. ( I'm not even sure there if there is a reasonable solution because I made the problem up ). But, when I try to use solve.QP to solve it, I get the error that D in the quadratic function is not positive definite. This is because Dmat is zero because I don't have a

Full_Name: wfeng Version: 2.7 OS: windows xp Submission from: (NULL) (208.62.252.2) for solveLP(linprog), the program is specified as Minimizes c'x, subject to A x >= b and x >= 0. However, what I found is the actual constraints that works with the function are A x <= b and x >= 0.

Buenos días, He hecho un desarrollo en mi máquina (de 64 bits) y funciona correctamente. Se trata de un problema de programación lineal (usando lpSolve y lpSolveAPI). El problema viene al ejecutar un caso concreto que en la máquina del usuario (de 32 bits) nos da que no hay solución factible para ese problema, pero en mi máquina de 64 sí que nos devuelve una solución. ¿Hay alguna forma (limitar

Dear all, I am trying to find a solution satisfying the below equations in R. Set up the problem 9 X1+ X2 + X3 = 2 X1+ X2 + X3 = 1 which is subjected to 0 < X1 < X2 < X3 < 2. I have downloaded the packages \'linprog\' and \'lpSolve\' but can not see how to solve the question. Thank you for your help. With

Hello All, Could anybody point me out any port of "Global Optimization Test Problems" OR "Constraint Satisfaction Test Problems" part of Coconut[%] benchmark or other such similar benchmarks for R. [%] Coconut benchmark: http://www.mat.univie.ac.at/users/neum/public_html/glopt/coconut/Benchmark/Benchmark.html Cheers! Isa [[alternative HTML version

I am having a hard time interpreting the results of the 'shapiro.test' for normality. If I do ?shapiro.test I see two examples using rnorm and runif. When I run the test using rnorm I get a wide variation of results. Most of this may be from variability of rnorm, samll sample size (limited to 5000 for the test), etc but if I repeat the test multiple times I can get: >

Hey, everyone, I am using proportional odds model for ordinal responses in dose-response experiments. For some samll data, SAS can successfully provide estimators of the parameters, but the built-in function polr() in R fails. Would you like to tell me how to make some change so I can use polr() to obtain the estimators? Or anyone can give me a hint about the conditions for the existance of MLE

I have a samll package that works well and complies nicly on WinXP, using R-2.4.1 Now I want to add a document so i make a folder inst\doc and put the .tex and .pdf in there. But the complation then crashes. Is this because the installin expects some file to be present in inst if an inst folder is there? This is how the thing progress is on my command promp:

Here''s what I''m trying to do. I have two divs, one holds about 20 small images of products and the other holds a single large image of one of the products. I''m trying to use the jazzy "new Effect." way of changing images but I can''t seem to get it too work. My script is replacing the image and then making the element disappear. What

Hola a todos, Simplemente comentar que me tengo encontrado con muchos problemas de optimización. Mi recomendación general, en el caso multidimensional y si el tiempo de computación es importante, sería buscar un algoritmo diseñado para el tipo de problema (evitar los algoritmos más generales tipo optim si puede haber problemas de mínimos locales). Algunos casos que tengo resuelto con R

Hi,all a quick question A larger file include many"." (stands for missing value) for variable, say, x. after read in the file and assign it another name such as : x1<-data$x but x1 is always a facotor but not numerical. so How can I get a numeric vector from the read in data frame. how can I replace those "." with "NA" to perform analysis. thank you very much

Dear all can anybady tell me how to seperate R's input and output screen?I mean just like SAS or some others, the commands does not mixed with results. thank you

Dear R users I have been using R for a while. However, I don't know what is the convenient way to update R to the newest version while keep all packages I previously downloaded and installed from CRAN, if updating all those packages the same will be even better. for the time being, I reinstall all those package evrytime after updating the version. Thank you. best regards yong

Apart from the fact that the statement "such that t1+t2+t3+t4=2970 (as it must)" is not correct, the LP can be implemented as follows: library(lpSolve) LHS <- rbind( c(0,0,0,0, 1, 0, 0,0), c(1,0,0,0,-1, 1, 0,0), c(0,1,0,0, 0,-1, 1,0), c(0,0,1,0, 0, 0,-1,1), cbind(-diag(4),diag(4)), c(0,0,0,0,0,1,0,0), c(0,0,0,0,0,0,1,0), c(0,0,0,0,0,0,0,1) ) RHS <-