similar to: Error from sparse pattern matrix product

R-developers Does anybody know how I incorporate the use of the tracker in RUnit in the unit tests? I have read the RUnit Vignette, help pages and searched around, but I could find no examples of using 'inspect' in the unit test functions. Moreover, doing so, I tried something like library(RUnit) myFunction <- function(x) { return(x) } track <- tracker() track$init()

Dear R-help-list I have two character vectors a <- c("A", "B", "C") b <- c("A", "C", "B") Then sapply(a, function(i) grep(i, b)) computes the permutation of the entries in 'b' needed to bring 'b' into the same order as 'a'. I have searched around, but haven't been able to find any existing function

Hi Martin, package arules heavily relies on ngCMatrix and uses multiplication and addition for logical operations. I think it makes sense that in a mixed operation with one dgCMatrix and one ngCMatrix the ngCMatrix should be "promoted" to a dgCMatrix. The current behavior of %*% and friends is in deed confusing: > m <- matrix(sample(c(0,1), 5*5, replace=TRUE), nrow=5) >

Dear R developers Using the 'foreach' package I encounter warnings like Warning message: In identical(.combine, cbind) : ignoring non-pairlist attributes Warnings appear once in a new R-session when I run a particular piece of code - and not again. I understand from the source code of 'identical' that the function checks and believes that .combine and cbind have non-pairlist

I use the very nice expm functions available from the expm and Matrix packages. My understanding is that for large sparse matrices the currently best methods available are Krylov subspace methods, but they are as far as I can tell not implemented in either of the packages mentioned, nor in any other R package I have found. Does anybody know if Krylov subspace methods are available from any R

In the Value section of the 'seq' help page it says 'seq_along' and 'seq_length' always return an integer vector. I believe it should be 'seq_along' and 'seq_len' always return an integer vector. as there are no seq_length function? Best, Niels -- Niels Richard Hansen Web: www.math.ku.dk/~richard Associate Professor

Dear R-developers I came across the following issue, which I find strange: setClass("A", representation(a = "numeric")) B <- list() myA <- new("A", a = 1) B$otherA <- myA B$otherA at a <- 2 myA at a Assigning a new value to slot 'a' in the _copy_ of myA stored in B$otherA changes the original value of myA -- this was surprising to me, and I

Hi Martin I got stung by this last week. glmnet produces a coefficient matrix of class ?dgCMatrix? If a predictor matrix was created using sparseMatrix as follows, one gets unexpected results, as this simple example shows. My fix was easy (I always convert the predictor matrix to class ?dgCMatrix? now) Trevor > y=Matrix(diag(4)) > y 4 x 4 diagonal matrix of class "ddiMatrix"

This is a Request For Comment, also BCCed to 390 package maintainers of reverse dependencies of the Matrix package. Most users and package authors working with our 'Matrix' package will be using it for numerical computations, and so will be using "dMatrix" (d : double precision) matrix objects M, and indirectly, e.g., for M >= c will also use "lMatrix" (l:

Consider the following little "benchmark" > require(Matrix) > tmp <- Matrix(c(rep(1,1000),rep(0,9000)),ncol=1) > ind <- sample(1:10000,10000) > system.time(tmp[ind,]) user system elapsed 0.004 0.001 0.005 > ind <- sample(1:1000,10000,replace=TRUE) > system.time(tmp[ind,]) user system elapsed 0.654 0.006 0.703 >

I am new to R( but quickly being awed by the range of this it can accomplish, you have one more convert to the useR universe). I have successfully implemented the apriori function and are getting great results. My question concerns how to export these results. I have read lots about write.csv functions and exporting data frames and other standard objects. Im having difficulty working with these S4

hi. i'm building a package using autotools. to propagate the package version number from configure.ac to DESCRIPTION, i'm using a DESCRIPTION.in file. both of these files are "shar"'d below. i need to distribute the DESCRIPTION.in file, as ./configure will need it. but, "R CMD check" wants to look at DESCRIPTION, so i've let that also come into the package

On 23/04/2018 6:33 AM, Peter Simons wrote: > Hi, > > I just tried to upgrade Nixpkgs to R 3.5.0, but unfortunately the new > version fails its regression test suite. We configure the build using > the flags "--without-recommended-packages", in case that's relevant. You > can see a complete build log with all relevant information at [1]. > Anyway, the test

Hello, Does anyone know where I can find information on using ext3 with Django. Specifically, I want to place Django template tags inside of a particular panel in my ext3 viewport... I have tried what is seen below, but it doesn't seem to work.. var viewport=new Ext.Panel({ layout: 'border', width:1200, height:650, renderTo: Ext.getBody(), items: [{

Dear R-helpers, I have a fresh installation of windows vista, and R 2.12.0 (session info below). Problem: > require(sp) Loading required package: sp Error in library.dynam(lib, package, package.lib) : DLL 'lattice' not found: maybe not installed for this architecture? > require(lattice) Loading required package: lattice Failed with error: ?package 'lattice' is not

Hello R-help, I noticed the following surprising behavior when using %in% to find elements in a vector generated using seq(). # weird!!! > c(7.7, 7.8, 7.9) %in% seq(4, 8, by=0.1) [1] TRUE FALSE TRUE # OK now > c(7.7, 7.8, 7.9) %in% round(seq(4, 8, by=0.1), 1) [1] TRUE TRUE TRUE # wait, how is this different? > c(7.7, 7.8, 7.9) %in% seq(7, 8, by=0.1) [1] TRUE TRUE TRUE Is there an

Dear R-help list, Sorry to trouble everyone. This seems like it could be achieved with a single command (? variant of apply), but I am not quite seeing it. I am trying to multiply one vector (a1 below) by corresponding values in a3 (as determined by matching element in a vector a2). The example below might be clearer. a1 <- c(4,3,4,6,8,9,2,3,4,6,7,4) a2 <-

Hi, I just tried to upgrade Nixpkgs to R 3.5.0, but unfortunately the new version fails its regression test suite. We configure the build using the flags "--without-recommended-packages", in case that's relevant. You can see a complete build log with all relevant information at [1]. Anyway, the test failures look like this: | make[3]: Entering directory

I'm not certain I am using the lattice plot correctly here. Below is reproducible code. Suppose I have two data frames, such as: set.seed(1234) datA <- data.frame(condition = gl(3, 100), scores = c(rnorm(100), rnorm(100, 1,1), rnorm(100, 2,1))) datB <- data.frame(condition = gl(3, 1000), scores = c(rnorm(1000, 3,1), rnorm(1000, 4,1), rnorm(1000, 5,1))) I would like to plot the

Suppose I have data such as the following set.seed(12345) tmp <- data.frame(var1 = rnorm(100), var2 = rnorm(100), var3=rnorm(100, 10, 30)) tmp1 <- data.frame(vars = with(tmp, c(var1, var2, var3)), type = gl(3, 100)) var3 is on a different scale, but I create the following plot, which looks terrible as a result bwplot(~ vars|type, tmp1, layout = c(1,3), ) Of course, I can