search for: 2xn

Hi, Sorry to bother with something that should be simple, but I can't find it. Suppose I have a list, each element of which is a 2xN dataframe, where N could be different for each element. Is there some simple structure to let me examine all the elements of each element's first column? For example: >foo $first [,1] [,2] [1,] 1 4 [2,] 2 5 [3,] 3 6 $second [,1] [,2] [1,] 1 6 [2,]...

Could someone please suggest a more clever solution to the following problem than my loop below? Given X a 2xN matrix X, and I a k-subset of N, Generate the (2^k)xN matrix Y with columns not in I all zero and the other columns with all choices of an entry from the first or second row of X. For example, with X <- matrix(1:8, nrow=2) I <- c(1,3) X is 1 3 5 7 2 4 6 8 and Y should be 1 0 5 0 2 0 5 0 1...

Hello, I'm relatively new to R. I've read the intro guide, but I can't quite figure out how to: I have a function: Jcost <- function (theta, in, out) { a <- output - input %*% theta 1/2 * t(a) %*% a } where "theta" is a 2x1 matrix "in" is a 20x2 matrix "out" is a 20x1 matrix return value is a scaler This works well when I only want to

...e each path is of length N. I use mvrnorm to create all the increments, i.e. h <- 1.0; COV <- matrix(c(1,0,0,1),nrow=2); dW <- h * t(mvrnorm(n=N*M,mu=c(0,0),Sigma=COV)); The next step is that I'd like to wrap dW (2D matrix of size 2x(NM) into a 3D array where each slice is 2xN matrix and the entire array consists of M slices. Just wondering if there is any way to do that? Or is there a better way than the way I am describing? Thank you. Roebert [[alternative HTML version deleted]]

hi, sorry for a possibly naive question but I am a bit of a beginner in R programming... I wrote a function which simulates some data and performs two different kinds of analyses on it. as an output I get the statistics for the two analyses (t-values). Now I would like to have an other function which reruns my first function say a 1000 times and attaches the resulting statistics in a data.frame

...ot;glm", the response variable can take one of 3 forms: (1) a vector with 2 levels (eg, 0 and 1) if the data are from individuals; (2) a vector of the proportions in which case the additional function call "weights" would be needed with a vector of the number of trials; or (3) a 2xN matrix where the columns are successes and failures, respectively. When I try to fit a basic random-walk model using the "ssm" function, however, I can only get option (3) above to work. That in itself is OK, but it seems as though ssm and subsequent functions (eg, "kfs") w...

Hello all! # dovecot --version 2.1.17 Sometimes I have this in the logfile: May 11 16:55:52 master: Warning: service(imap-login): process_limit (100) reached, client connections are being dropped May 11 17:35:03 master: Warning: service(imap-login): process_limit (100) reached, client connections are being dropped May 11 17:36:27 master: Warning: service(imap-login): process_limit (100)

...oney # r: constant, so that x is the amount of money in one envelop and r*x is the # amount of money in the second envelope # rdist: a random distribution for the amount x # n: number of envelope pairs to generate # ...: additional parameters for the random distribution # The function returns a 2xn matrix containing the (randomized) pairs # of envelopes generateenv <- function (r, rdist, n, ...) { env <- matrix(0, ncol=2, nrow=n) env[,1] <- rdist(n, ...) # first envelope has `x' env[,2] <- r*env[,1] # second envelope has `r*x' # randomize de envelopes, so we...