search for: amatrix

...ot;. For instance: ##### BEGIN CODE SNIP ##### parms <- list( shape1 = 2, shape2 = 5 ); goftests( x, "beta", parms[["shape1"]], parms[["shape2"]] ); # Works! goftests( x, "beta", parms ) # Don't Works! parms <- list( aNum = 5, aVector = c(1,2,3), aMatrix = matrix(c(4,5,6,7,8,9),nrow=2,byrow=T) ); goftests( x, "my-special-distr", parms[["aVector"]], parms[["aMatrix"]], parms[["aNumber"]] ); # Works! goftests( x, "my-special-distr", parms ) # Don't Works! ##### END CODE SNIP ##### Obviously I...

Hi, I need to run a PCoA (PCO) for a data set wich has both positive and negative values for variables. I  could not find any distancecoefficient other than euclidean distace running for the data set. Are there any other coefficient works with negtive values.Also I cannot get summary out put (the eigen values) for PCO as for PCA.   Thanks. Dilshan [[alternative HTML version deleted]]

Using R 2.4, the following fails: setClass("testc", representation(a="ANY")) makeC <- function(myarg) new("testc", a=myarg) makeC() -> Error in initialize(value, ...) : argument "myarg" is missing, with no default On the other hand, this is OK: f <- function(a) g(b=a) g <- function(b) if(missing(b)) "missing" else "valid

...t;ID8_ID9_" "ID9_ID9_" "ID10_ID9_" ID10 "ID1_ID10_" "ID2_ID10_" "ID3_ID10_" "ID4_ID10_" "ID5_ID10_" "ID6_ID10_" "ID7_ID10_" "ID8_ID10_" "ID9_ID10_" "ID10_ID10_" > > (AMatrix <- as.character(unique(AssocMatrix[which(DMTF==TRUE)]))) [1] "ID2_ID6" "ID6_ID2" "ID6_ID10" "ID10_ID6" > > ##Extract those individuals not in any interactions > nonassoc <- IDs[is.na(charmatch(inassoc,AMatrix))] > > (NGroups <- d...

Context: I'm relatively new to R and am working with very large datasets. General problem: If working on a dataset requires that I produce more than two objects of roughly the size of the dataset, R quickly uses up its available memory and slows to a virtual halt. My tentative solution: To save and remove objects as they're created, and load them when I need them. To do this I'm

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...ompare results doing other plots as well. I used ?cook.distance? on lm and glm objects, but still I am not happy with that. So now I am loading the ?vardiag? package. First thing is to transform my data (frame.data) into a matrix ? which I did with ?as.matrix?. I verify my new object as being amatrix ? and it is, and I list it to be sure that in is a matrix of n rows with 3 colums. Now I want to use the command ?varobj? to transform my matrix into a variogram object. The param are: varobj(m, iter = 50, tolerance = 2e-04, trace = 1, loo = F) where, m is a n by 3 matrix with spatial data. My...

...====== logLikFunc3 <- function(sigma, object, totalTime) { y <- as.matrix(object at data$output[1:totalTime,1]); x <- as.matrix(object at data$input[1:totalTime,]); # compute necessary matrices M <- as.matrix(object at model$M); P <- diag(sigma*sigma); A <- AMatrix(totalTime, M, object at data$input[1:totalTime,]); Q <- IMatrix(totalTime)+A %*% outerM(IMatrix(totalTime-1),P) %*% t(A); invQ <- solve(Q,IMatrix(dim(Q)[1])); xM <- matrix(rep(0, dim(M)[2]*totalTime), ncol=dim(M)[2], nrow=totalTime); for (i in 1:totalTime) { xM[i,] &...

Please see example code below. I have a vector ("mydata") of length 10. "mydata" can have various formats (e.g. numeric, text, POSIXct, etc) I use the matrix and data.frame functions to convert "mydata" to a dataframe ("mydf") of 2 columns and 5 rows. What is a "good" way to ensure that the format is retained when I create the

.../../.. -lfrtbegin -lg2c -lm -lgcc_s ** R ** data ** help >>> Building/Updating help pages for package 'fields' Formats: text html latex example BD text html latex example Exponential text html latex Krig.Amatrix text html latex example Krig text html latex example Krig.engine.default text html latex example Krig.null.function text html latex RMprecip text html...