similar to: [PATCH] Vertical/Horizontal maximization in gtk-window-decorator

Hi, Any reason why this would happen that you can think of? http://qa.mandriva.com/show_bug.cgi?id=32215 See the screenshot :) Cheers Col

I suggest a simple enhancement to segments() and arrows() to facilitate drawing horizontal and vertical segments -- set default values for the second x and y arguments equal to the first set. This is handy, especially when the expressions for coordinates are long. Compare: Segments: < function (x0, y0, x1 = x0, y1 = y0, col = par("fg"), lty = par("lty"), --- > function

hi, When I do a graph. the values on y axe are vertical position. How can I put the values in horizontal position? thanks [[alternative HTML version deleted]]

Hi r-users, I would like to add a plot of vertical line segment with arrow from (77,.6) to (77,0) and also a horizontal  line segment with arrow from (0,0.6) to (77,.6) .  So far this is what I have: plot(sq, cdf, type="l", lwd=4,col="blue",xaxs="i",yaxs="i", xlab= "Rainfall (mm)", ylab= "Random no.", main="Random number  and

I'm trying to format text on a plot such that the string is vertical but the letters are horizonal. I tried text(1,1,label="output", srt=270) This gives the string rotation I want, but that rotates the entire "output" so the letters are also rotated. I've also tried text(1,1,label="output", srt=270, crt=270) to no avail. par()$crt doesn't seem to affect

Hello, everyone! I have a very simple task - I have a data frame (see MyData below) and I need to stack the data (see result below). I wrote the syntax below - it's very basic and it does what I need. But I am sure what I am trying to do is a very typical task and there must be a much shorter/more elegant way of doing it. Any advice? Thank you very much!

Hello, I must start by saying that I am an R novice and am sorry if this is a no-brainer... I have an csv file that contains a grid of 300x300 data points. Each point represents a 1Km square on a map. Each point is either a floating point number or NA. I load the data in with:   data <- read.csv("matrix.csv", sep=',') Convert the data to a matrix with:   data_matrix <-

Hi, I want to have a horizontal line on a mosaic plot with "vcd" package. This would give me an idea where is 0.5 proportion in a cell. Using "mosaicplot" function of "graphics" package, I can draw a line using "abline." But, with "mosaic" function of "vcd" package, I have tried to use "abline" function, which complains

Dear colleagues, there is a behaviour with S4 (virtual) classes that I find very hard to understand: Depending on the position of setAs(), the tree of inheritance changes. This is my baseline example that defines the classes "grandma", "mother", "daughter" and a virtual class "mr_x". For a new instance if "daughter", "mr_x" is betweeen

The current name of gnome-window-decorator is wrong. There's nothing gnome specific in that code. I'll go a head and change the name to gtk-window-decorator later today. I'm also going to split the gnome configure option into a gtk and a gnome option as the only gnome specific code that exist in the tree is the compiz-window-manager module which is used to integrate with the gnome

Hello, here is an example from the manual. How to turn this minimization problem into maximization problem, i.e. -(0 5 0) %*% b - 1/2 b^T b? # Assume we want to minimize: -(0 5 0) %*% b + 1/2 b^T b # under the constraints: A^T b >= b0 # with b0 = (-8,2,0)^T # and (-4 2 0) # A = (-3 1 -2) # ( 0 0 1) # we can use solve.QP.compact as follows: # library(quadprog) Dmat <- matrix(0,3,3)

Hello: I have been trying to program the following maximization problem and would definitely welcome some help. the target function: sum_{i} f(alpha, beta'X_{i}), where alpha and beta are unknown d-dim parameter, f is a known function an X_{i} are i.i.d. r.v. I need to maximize the above sum, under the constaint that:

Hello, I would like to know if there's a package in R to solve the following problem: Let's consider a cloud of points in a n-dimensional space. Each point is associated to a specific value Vi (a real that can be positive or negative). I would like to find the n-dimensional hypercube that maximizes the sum of Vi corresponding to the points inside of the hypercube. How would you solve

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

hi people, I'm trying to maximize this function: fn= function (x) {x[1]^2+5*x[2]^2} with this restriction fn1 = function (x) {x[1]+x[2] <=5} Can someone help me how to procedure this? I tried in the alabama and genoud package but i have problems with the setting of constrains. Regards, Eliano -- View this message in context:

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:

Given a vector : pvec=(p1,p2,.... p J) with sum(pvec)=1, all the elements are non-negative, that is, they are probabilities a matrix A ( N* J ), with the elements alpha(ij) are 0 or 1 I want to MAXIMIZE THE RESULT RESULT= product( i=1, to N [ sum ( alpha(ij)* pj , j =1,to J ) ] ) thus, I need to get pvec. how should I do ? for example

I''m looking for a R function which can maximise this logliklihood function, under the constraits a>0 e b>0 f<-function(param){ a<-param[1] b <-param[2] log(prod)-(a*s2)-(b*s)-n*log(1-((0.5*b/sqrt(a))*(exp((b^2)/(4*a)))*((sqrt(pi ))*(1-pnorm(-b/(2*sqrt(a)), mean=0, sd=1)))))} I''ve tried maxlik constrOptim e donlp2 but without success. Thanks so

Dear R Help, I am trying to fit a nonlinear model for a mean function $\mu(Data_i, \beta)$ for a fixed covariance matrix where $\beta$ and $\mu$ are low- dimensional. More specifically, for fixed variance-covariance matrices $\Sigma_{z=0}$ and $\Sigma_{z=1}$ (according to a binary covariate $Z $), I am trying to minimize: $\sum_{i=1^n} (Y_i-\mu_(Data_i,\beta))' \Sigma_{z=z_i}^{-1} (Y_i-

Dear all, I would like to solve the following problem, which can be done with optimal control theory or dynamic programming: max(x,y) a*u1+b*u2+c*f1(u2) s.t. 0<u1<x, 0<u2<f2(x,u2), x'=f3(u1,u2,x) which can be rewritten if optimal control theory should be applied as H=a*u1+b*u2+c*f1(u2)+lambda*(x') s.t. 0<u1<x, 0<u2<f2(x,u2) The maximum principle