search for: maximizing

Hi, I posted this on the forum as well, but there were no responses to it. I now posting it here just in case anybody cares. Anyway, Compiz is a very nice program. Thanks for all the effort you put into making it. I am using the latest git version of compiz and it really works great for being an "unstable" version. Anyway, I noticed the following strange behavior and was wondering

Dear R experts, Attached you can find the expression of a loglikelihood function which I would like to maximize in R. So far, I have done maximization with the combined use of the mathematical programming language AMPL (www.ampl.com) and the solver SNOPT (http://www.sbsi-sol-optimize.com/manuals/SNOPT%20Manual.pdf). With these tools, maximization is carried out in a few seconds. I wonder if that

Hi, I need to maximize a quadratic function under constraints in R. For minimization I used solve.QP but for maximization it is not useful since the matrix D of the quadratic function should be positive definite hence I cannot simply change the sign. any suggestion ? thanks -- View this message in context:

Hi, I'd like to select one row in a data frame per subset which is maximal for a particular value. I'm pretty close to the solution in the sense that I can easily select the maximal values per subset using "aggregate", but I can't really figure out how to select the rows in the original data frame that are associated with these maximal values. library(stats) # this

Hello, I'm trying to produce graphs automatically from data stored in database. Before saving the graphs, I would like to maximize the size of the graphs. The best would be to directly open maximized windows with x11() but up to now I failed doing it. I tried different widths and heighs but I never managed to obtain a full screen window. Is there a command to do it ? Thanks in advance, Ptit

Dear All, Is there any package to do multi-objective optimization? For instance, consider the following problem: maximize f(x,y) in order to x and maximize g(x,y) in order to y, simultaneously, with x and y being the same both for f and g. Can R do it numerically? Thanks in advance, Paul

Hi everybody, I'm using Lubuntu 14.04 on an old desktop PC with a NVIDIA GeForce 7600 GS and a screen of 19 inches. The maximal resolution of my screen with Nvidia drivers is 1280x1024. (In particular, I use the Nvidia 331.89 driver) With Nouveau driver, the maximal resolution falls to 1024x768. Is there a solution for increasing the maximum resolution with Nouveau ? Best regards,

Dear R Users I am maximizing a user defined log likelihood function. It includes variance parameter (sigma). I used R function optim with BFGS maximization method. However, it stops before the solution saying ?sqrt(sigma): NaNs produced? Could anybody know a proper transformation for sigma which can be passed in the function?...

Hi, I am using the lastest git version of compiz and just run in to a new problem after switching to using the ini configuration plugin over the gconf-one. When I maximize a window and then try to move it to another viewport, the cube rotates but the maximized window disappears instead of moving along to the new viewport. The maximized window can be found using the scale plugin (only on show-all

I recently got a new macbook pro 13", 2.4 Ghz, running Mac OS X 10.6.3. I am having trouble maximizing the Wine Desktop window that opens when I try running applications. It could be possible that the Wine window can't be stretched or made any bigger, but I'm not sure. If I try to make the window bigger by dragging the bottom right corner, the window gets larger, but it just adds a blank whi...

...5 14 8 24 0 (Yes, only four data points.) I don't know much about the application, but apparently there are good empirical reasons to use a quadratic model. The goal is to find the X value which maximizes the response Y, and to find a confidence interval for this X value. Finding the maximizing X value is pretty straightforward: >Ldat <- data.frame("X"=c(3,7,14,24), "Y"=c(1,5,8,0)) >(LM<-lm(formula = Y ~ X + I(X^2), data = Ldat)) Call: lm(formula = Y ~ X + I(X^2), data = Ldat) Coefficients: (Intercept) X I(X^2) -3.86978 1.77762...

I just grabbed the latest wxruby-swig from cvs and tried to compile it (without enabling the SWIG step) on my gentoo Linux box. I get: g++ -c -I/usr/lib/wx/include/gtk2-2.4 -DGTK_NO_CHECK_CASTS -D__WXGTK__ -D_FILE_OFFSET_BITS=64 -D_LARGE_FILES -O2 -march=athlon-xp -fPIC -I /usr/lib/ruby/gems/1.8/gems/rake-0.4.8/bin -I /usr/lib/ruby/gems/1.8/gems/rake-0.4.8/lib -I

Hi r-help community, This question isn't so much a syntax/coding one, but here goes: Let's say I have matrix of arbitrary dimensions and I'd like to reorder the rows in such a way that I could maximize the sum of the entries along the diagonal. For example, for this 3x3 matrix: [,1] [,2] [,3] [1,] 3 4 13 [2,] 9 1 2 [3,] 2 11 1 rearranging the rows

On Tue, Jul 04, 2023 at 10:43:07AM +0200, Maxime Coquelin wrote: > > > On 7/3/23 23:45, Michael S. Tsirkin wrote: > > On Mon, Jul 03, 2023 at 09:43:49AM +0200, Maxime Coquelin wrote: > > > > > > On 7/3/23 08:44, Jason Wang wrote: > > > > On Sun, Jul 2, 2023 at 9:37?PM Michael S. Tsirkin <mst at redhat.com> wrote: > > > > > >

Dear R users, I?m a graduate students and in my master thesis I must obtain the values of the parameters x_i which maximize this Multinomial log?likelihood function log(n!)-sum_{i=1]^4 log(n_i!)+sum_ {i=1}^4 n_i log(x_i) under the following constraints: a) sum_i x_i=1, x_i>=0, b) x_1<=x_2+x_3+x_4 c)x_2<=x_3+x_4 I have been using the ?ConstrOptim? R-function with the instructions

I am trying to figure out how to run maximum likelihood in R. Here is my situation: I have the following equation: equation<-(1/LR-(exp(-k*T)*LM)*(1-exp(-k))) LR, T, and LM are vectors of data. I want to R to change the value of k to maximize the value of equation. My attempts at optim and optimize have been unsuccessful. Are these the recommended functions that I should use to maximize

Hi, i've two questions concerning the plot of a dendrogram. first, i use hclust for clustering and if i plot the dendrogram, then the maximal height is the maximal dissimilarity found in my data. but i want to have a arbitary maximal height. for example if the maximal dissimilarity in my data is 50 and i want a height of 100, the plot should be compressed by 1/2 and the line to the root

Dear community, I am currently trying to fit an ordinal logistic regression model with the polr function. I often get the same error message : "attempt to find suitable starting values failed", for example with : require(MASS) data(iris) polr(Species~Sepal.Length+Sepal.Width+Petal.Length+Petal.Width,iris) (I know the response variable Species should be nominal but I do as levels

Dear all, when I start R, I want that the console window should be in the Maximized size automatically. Can somebody help me how to achieve that? Thanks and regards,

I want to maximize a conditional likelihood function that is basically logistic conditional on the number of successes within strata. What would be a good starting place for this? A complication is that the denominator includes a term that is the sum over all permutations. Although there is no time dimension to the problem, it's possible a degenerate use of the Cox proportional hazards