similar to: Combinatorial problem

I am having trouble plotting one of my graphs (think graph theory graph with edges and vertices, not scatterplots or histograms). For some pairs of vertices, I want multiple edges to be visible in my graph. As an example of this, in my script below, I want two edges to be visible from vertex 1 and vertex 9 (among some others) yet when I plot it, only one edge is visible.

# Your mailer is set to "none" (default on Windows), # hence we cannot send the bug report directly from R. # Please copy the bug report (after finishing it) to # your favorite email program and send it to # # r-bugs@biostat.ku.dk # ###################################################### The error occurs following the third Hit <Return> below: > y_rnorm(40) >

I want to calculate a statistic on a number of subgroups of a dataframe, then put the results into a dataframe. (What SAS PROC MEANS does, I think, though it's been years since I used it.) This is possible using by(), but it seems cumbersome and fragile. Is there a more straightforward way than this? Here's a simple example showing my current strategy: > dataset <-

Ubuntu 8.10 Desktop, Wine 1.1.13 (upgraded from 1.0.1 to try to solve my problem). I have used used Guitar Pro very recently without a problem. After a PSU failure, I had to reinstall the OS and downloaded and installed software, including Wine. Guitar Pro appeared to install properly and its splash screen was normal. Immediately the full program ran, a fatal error stopped it. I have a screen

Hi: In lattice, how does one handle separate graphical behavior for two different factors? In the xyplot below, the objective is to use the levels of one factor to distinguish corresponding shapes and colors, and the levels of the other factor to perform level-wise loess smooths. # Illustrative data: d <- data.frame(time = rep(1:8, each = 6), val = rnorm(48), gp1 =

Hi. I am having trouble thinking of an easy way to grab rows out of a data frame. I want to select the rows with a median value when the rows are similar. A simple example is this table, which I could read into a data frame. I would like to find a new data frame with only the rows with a median value for the "c" column given a certain "a" value. For example, the c values

My uncle recently bought a new computer and he wants me to help him install Guitar Pro. The thing is, he doesn't have Windows, and I'm thinking of installing Ubuntu with wine on the comp. Quiz time! Can you use wine, with GP, and if you can, deos it perform poorly in any ways?

Hola! I am programming a class (S3) "symarray" for storing the results of functions symmetric in its k arguments. Intended use is for association indices for more than two variables, for instance coresistivity against antibiotics. There is one programming problem I haven't solved, making an inverse of the index function indx() --- se code below. It could for instance return the

Confirmation from John Maindonald. -- Brian D. Ripley, ripley@stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272860 (secr) Oxford OX1 3TG, UK Fax: +44 1865 272595 ---------- Forwarded message ---------- Date: Fri, 3

This is not an R question, but a question on some combinatorial mathematics. Apologies for the OT if it is wildy inappropriate. The traditional C(n.k) method tells me how many combinations k I can make with n objects. However, suppose I want the number of combinations where an object cannot be used more than Q times where Q is a parameter that changes? For instance: combn(LETTERS[1:5], 3) shows

Hi all, I have a strange problem and rigth now I can't figure out a solution. Trying to calculate an ANOVA with one between subject factor (group) and one within (hemisphere). My dependent variable is source localization (data). My N = 25. My data.frame looks like this: > ML.dist.stack subj group hemisphere data 1 1 tin left 0.7460840 2 2 tin left

Hello, I'm somewhat new to R. I've searched the archive for the last year and tried to consult the manual pages for the following problem, but did not find an answer. I want to sort an array by the index values. Here is the array >acc.gp.bl.wtmn Gp17 Gp4 1 0.5703125 0.6406250 10 0.7812500 0.7109375 11 0.8046875 0.7343750 12 0.8359375 0.7890625 13 0.8515625 0.7109375

I have a problem with expressions. I am trying to create a title where the parameter of interest is displayed as a Greek character. Which parameter is being considered is stored in a character variable. As an example, if I have param <- "alpha" and then do plot(0, 0, main = bquote(Parameter==.(param))) then in the title I get "Parameter = alpha", whereas I want the

Hi: Yesterday, I posted a question regarding how to handle different graphical behavior between two factors in xyplot() [package lattice]. After a public and private reply from Deepayan Sarkar, the problem has been resolved nicely, including the addition of a stacked legend for the two factors in question. The latter requires package latticeExtra. library(lattice) library(latticeExtra) # Test

I am investigating some approaches to reproducible research. I need in the end to produce .html or .doc or .docx. I have used hwriter in the past but have had some problems with verbatim output from R. Tables are also not particularly convenient. I am interested in R2HTML and R2wd in particular, and possibly odfWeave. Does anyone have sample documents using any of these approaches which

Preallocation Instruction Scheduling with Register Pressure Minimization Using a Combinatorial Optimization Approach G. Shobaki, M. Shawabkeh and N. Abu-Rmaileh ACM Transactions on Architecture and Code Optimization (TACO). vol. 10, issue 3, Article 14 (Sept. 2013) http://dx.doi.org/10.1145/2512432 Regards Ghassan Shobaki, PH.D Assistant Professor Department of Computer Science Princess Sumaya

Hello! I have the following combinatorial problem. Consider the cumulative sums of all permutations of a given weight vector 'w'. I need to know how often weight in a certain position brings the cumulative sums equal or above the given threshold 'q'. In other words, how often each weight is decisive in raising the cumulative sum above 'q'? Here is what I do: w <-

Dear Community, I have a problem I am trying to code in R. Suppose there are 7 products and each have a ROI value attached to it. There are 400 representatives who calls 150,000 customers with these product detailing and achieve sales through the calls. There is a cost per call and revenue earned from the call. Constraint is revenue should be greater than the cost. Now there can be at most 7

Hi all I am trying to solve a combinatorial optimization problem. Basically, I can reduce my problem into the next problem: 1.- Given a NxN grid of points, with some values in each cell 2.- Find the combination of K points on the grid such that, the maximum mean value is obtained I took the Travel SalesMan problem example in ?optim documentation. I am not sure if I have understood correctly

Hi, a colleague ran a stepwise discriminant analysis twice in a row and got different results, suggesting some "sochasticity" in the algorithms involved. I looked at her data and found that there was a lot of collinearity, so that I reckoned that maybe "stepclass" (klaR) cannot find a clear winner when trying to include a new variable and makes a random choice. Is that true?