similar to: [Fwd: Re: optimization subject to constraints]

Hi, I'm getting crazy: This does work: library(Matrix) a1<-b1<-c(1,2) c1<-rnorm(2) aDgt<-spMatrix(ncol=3,nrow=3,i=a1,j=b1,x=c1) png("myImage.png") image(aDgt) dev.off() But this doesn't !!! f<-function(x){ png("myImage.png") image(x) dev.off() } f(aDgt) My image is saved as a text file and contains nothing at all !!! Thanks in advance, Gildas Mazo

Dear R users, Given a user-defined cumulative distribution function F, I want to compute F^{-1}(x). How is that possible with R? Best Regards, -- Gildas Mazo PhD student MISTIS team at INRIA Grenoble, France [[alternative HTML version deleted]]

Dear R users, I want to aggregate data in the following way: ### X <- data.frame(u = c("T1","T1","T1","T2"), v=c("a","a","b","a")) X library(sqldf) sqlOut <- sqldf("select count(distinct(v)) from X group by u") sqlOut ### Now I want to get the same result without using SQL. How can I achieve that ?

Dear R users, I'd like to build a simple design matrix in a efficient way. I naively wrote the code below. #### n = 15 k = 3 nbPerGrp = c(5,5,5) xT <- list() for (i in 1:k){ xT[[i]] <- rep(0, k) xT[[i]][i] <- 1 } X <- matrix(nrow = n, ncol = k) #design matrix for (i in 1:nbPerGrp[1]){ X[i,] <- xT[[1]] } for (i in 1:k-1){ for (j

Dear R users, I'm looking for tools to perform optimization subject to constraints, both linear and non-linear. I don't mind which algorithm may be used, my primary aim is to get something general and easy-to-use to study simples examples. Thanks for helping, Gildas

Dear R users, I'm using optim to optimize a pretty complicated function. This function takes the parameter vector "theta" and within its body I use instructions like sigma<-theta[a:b]; computations with sigma... out<-c() for (i in 1:d){ a<-theta[(3*d+i):c] out[i]<-evaluation of an expression involving 'a' (I use symbolic differentiation) } Unfortunately

Hello All, Want very much to learn how to plot patient drug timelines. Trouble is I need to figure out how to do this today. So not much time for me to struggle with it. Hoping someone can just help me out a bit. Below are some sample data and code that produces what I think is the beginning of a very nice graph. Need to alter the code to: 1. Get the lines for the drugs to appear on the

Hi, I have a data set of points which are represented by 3 variables x,y,z where x is the position of the point on the x-absciss and y on the y-absciss. Each of my points has a value z, which I want to be displayed as follows: the more z is high, the more the color on the map is dark. How can I achieve this ? Thanks for your help -- View this message in context:

Dear List, I'm trying to solve this simple optimization problem in R. The parameters are the exponents to the matrix mm. The constraints specify that each row of the parameter matrix should sum to 1 and their product to 0. I don't understand why the constraints are not satisfied at the solution. I must be misinterpreting how to specify the constrains somehow. library(alabama) ff <-

Dear List, I have the code below, where I am using the constrained optimisation package, 'constrOptim.nl' to find the values of two values, b0 and b1. I have no problems when I enter further variable information DIRECTLY into the functions, fn, and heq. In this instance I require fn to have -0.0075 appended to it, and in the case of heq, h[1] has -0.2. library(alabama)

Hello, This is my first post to the help request list, so I'm going to err on the side of giving too much information. I'm working on writing a simulation in which agents will make repeated production and exchange decisions with randomly chosen partners. The idea is, all agents can produce two goods which they want to consume, they choose a value t in [0,10] which sets their production

I'm interested in the Rsolnp package. For their primary function "solnp", one example is given, and there is a reference to "unit tests". Anyone know where these can be found? Also, Rsolnp is used in a few other packages (e.g., depmixS4), but I cannot seem to find source illustrating its call sequence, and the precise definition of the functions passed. Can anyone help?

Dear Tomas,Thank you.Regarding the "unnumbered" arguments, i.e. sprintf('%f %f', 1, 2, 3). This was the case I wanted to report, here a warning can be very useful.Regarding the "numbered" arguments, that is, sprintf('%$1f %$3f', 1, 2, 3). Here, omission of an argument might be intended, for example, in an application with support for multiple languages.

Another way to avoid the problem is to not redefine variables that are arguments. E.g., > Su3 <- function(u=100, l=u, mu=0.53, sigma2=4.3^2, verbose) { if (verbose) { print(c(u, l, mu)) } uNormalized <- u/sqrt(sigma2) lNormalized <- l/sqrt(sigma2) muNormalized <- mu/sqrt(sigma2) c(uNormalized, lNormalized, muNormalized) } > Su3(verbose=TRUE)

Found the issue. In the association table (categories.products) it is very important to use lowercase column names. I.e, product_id and category_id. I had Product_id and Category_id in SQL.... Gildas -----Original Message----- From: rails-bounces-1W37MKcQCpIf0INCOvqR/iCwEArCW2h5@public.gmane.org [mailto:rails-bounces-1W37MKcQCpIf0INCOvqR/iCwEArCW2h5@public.gmane.org] On Behalf Of Cherruel,

Dear R developers, sessionInfo() below Please have a look at the following two versions of the same function: 1. Intended behavior: > Su1 = function(u=100, l=u, mu=0.53, sigma2=4.3^2) + { + print(c(u, l, mu)) # here, l is set to u?s value + u = u/sqrt(sigma2) + l = l/sqrt(sigma2) + mu = mu/sqrt(sigma2) + print(c(u, l, mu)) + } > > Su1() [1] 100.00 100.00 0.53 [1]

Dear R developers, I am wondering if this should raise an error or a warning. > sprintf('%.f, %.f', 1, 2, 3) [1] "1, 2" I am aware that R has ?numbered? sprintf arguments (sprintf('%1$.f', ?), and in that case, omissing of specific arguments may be intended. But in the usual syntax, omission of an argument is probably a mistake. Thank you for your consideration.

Dear Bill, All makes perfect sense (including the late evaluation). I actually discovered the problem by looking at old code which used your proposed solution. Still I find it strange (and, hnestly, I don?t like R?s behavior in this respect), and I am wondering why u is not being copied to L just before u is assigned a new value. Of course, this would require the R interpreter to track all these

Hi, i am unable to install the rugarch package. More than that i do not even find this package in my list of possible packages. Its possible than the name has changed, or the package is not longer availiable? Is there a similar package avaliable for garch modelling except the fGarch what i am using now? many Thanks Roland -- View this message in context:

Dear R developers, The following command produces an interaction plot with lwd=2. interaction.plot(c(1, 2, 1, 2), c(1, 1, 2, 2), 1:4, lwd=2) In the legend, however, lwd seems to be 1, which does not seem to be intended behavior. Probably the lwd is not correctly forwarded to legend: from the interaction.plot source: legend(xleg, yleg, legend = ylabs, col = col, pch = if (type %in%