similar to: update() can not find objects (PR#1861)

Dear R users, i have this problem with matrices i want to check between two matrices if they are isomorphic i will give an example for what excactly i want   1 -1  1                                 -1  1   1 -1   1  -1                                1  -1  -1   1  1   -1                                1   1  -1 this two matrices are isomorphic beacause if i change the first 2 columns the matrices

Dear all, model.frame behaves in a way I don't expect when both its formula and subset argument are passed through a function call. This works as expected: model.frame(~wool, warpbreaks, breaks < 15) #> wool #> 14 A #> 23 A #> 29 B #> 50 B fun1 <- function(y) model.frame(~wool, warpbreaks, y) fun1(with(warpbreaks, breaks < 15)) #> wool #> 14

Hello everybody, I don't understand what I'm doing wrong. But it isn't possible that each element of the if-condition is tested for each vector element? y <- c(1:20) > y [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 > if (y == c(4,5,9,11,17)) { print("yes") } else { print("no")} [1] "no" warning: In if (y == c(4, 5, 9, 11,

Dear list!   I would like to write a function to transform matrix, which is input argument of a written function. It is easy with new matrix (see below), but my idea is to transform input argument (matrix) of function without any additional matrixes. Here is an example: fun1 <- function(xy) { xy <- cbind(xy[,1], xy[,2], xy[,1] + xy[,2]) return(xy) }   df1 <- matrix(c(1,2,3,1,2,3), ncol =

Hello, Rlisters I have to compute p-values that are on the tail of the distribution, P-values < 10^-20. However, my current implementations enable one to estimate P-values up to 10^-12, or so. A typical example is found below, where t is my critical value. ########### example - code adapted from Rassoc ####################### rho01 = 0.5 rho105 = 0.5 rho005 = 0.5 t = 8 z = 2

Hi, I have two matrices, A (axd) and B (bxd). I want to get another matrix C (axb) such that, C[i,j] is the Euclidean distance between the ith row of A and jth row of B. In general, I can say that C[i,j] = some.function (A[i,], B[j,]). What is the best method for doing so? (assume a < b) I have been doing some exploration myself: Consider the following function: get.f, in which,

Hi, I have a module pass and I hope to use it to optimize a real-world program. I need LTO，and I have got LTO plugin. But How can I add my passes to LTO Pass. I can't find solution. What should I do? -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20200422/76d2b046/attachment.html>

Dear List, I'm building an R syntax highlighting file for GeSHi [*] for a website I am currently putting together. The syntax file needs a list of keywords to highlight. How can I generate a list of all the functions in a base R installation? Ideally the list would be formatted like this: "'fun1', 'fun2', 'fun3'" when printed to the screen so I can copy

Dear all, I've started working with R (vs 1041) a few weeks ago, and now I'm having problems with the amount of memory. I'm working on the windows-me, my computer has 128 Mb of memory. I'm using the R under the emacs (ESS-5.1.20) and it is started by the command: Rterm --min-vsize=10M --max-vsize=100M --min-nsize=500k --max-nsize=1M I've been had problems when executing a

Hi! While investigating into the PR1782 I spent some time analyzing BasicAliasAnalysis.cpp. While the mentioned problem should be fixed now (I hope), I have discovered some other possibilities for a bug to occur. In the case of checking for aliasing of two pointer values, where at least one of them is a GEP instruction with out-of-bound indices, BasicAliasAnalysis can return NoAlias, even if the

Dear Sir/Madam, I am trying to write a R package and I found what has been said in the "Writing R Extensions" is mostly different from what has been done in the existing packages. For example, in MASS package, there is no *.Rd files nor *.rd files. There is an R-ex directory, which has all the .R files, which should be in the R directory according to the manual. Supprisingly, in the R

Dear list, I have two functions created in the same environment, fun1 and fun2. fun2 is called by fun1, but fun2 should use an object which is created in fun1 fun1 <- function(x) { ifelse(somecondition, bb <- "o", bb <- "*") ## mymatrix is created, then myresult <- apply(mymatrix, 1, fun2) } fun2 <- function(idx) { if (bb == "o) { #

Hi R users: I'm trying to make a function where two of the parameters are functions, but I don't know how to put each set of parameters for each function. What am I missing? I try this code: f2<-function(n=2,nsim=100,fun1=rnorm,par1=list(),fun2=rnorm,par2=list()){ force(fun1) force(fun2) force(n) p1<-unlist(par1) p2<-unlist(par2) force(p1) force(p2)

Thanks. Yes. Your approach can identify: Glaxy ace S 5830 and S 5830 Glaxy ace But you can not identify using same program: Iphone 4S 16 G Iphone 4S 16G How should I solve both in same time. Kind regards,Tammy [[alternative HTML version deleted]]

Hello I need some help in figuring Bravington’s debugger out. Ok I have 2 functions, fun1 and fun2 saved in a ASCII file say filename is funs. Fun1 has a loop which calls fun2, fun2 has a loop which fails and I need to find out the value of the variables of the fun2 and fun1 loops at the specific iteration that fails. Both fun1 and fun2 loops will iterate thousands of times so line by line debug

Dear list, I know I have seen this discussed before but I haven't been successful in searching for "ellipsis", "dots", "..." in the archives. I would like to filter "..." arguments according to their name, and dispatch them to two sub-functions, say fun1 and fun2. I looked at lm() but it seemed more complicated than I need as it modifies the calling

Dear Friends, Let's assume there are three parameters that were passed into fun1. In fun1, we need to modify one para but the remains need to be untouched. And then all parameters were passed into fun2. However, I have failed to achieve it. Please see the following code. ########################################## fun1 <-function(x, y, z=10) {x+y+z;} fun2 <-function(aa, ...) {

Dear list! ? I have question of?'correct function formation'. Which function (fun1 or fun2; see below) is written more correctly? Using ''structure'' as output or creating empty ''data.frame'' and then transform it as output? (fun1 and fun1 is just for illustration). ? Thanks a lot, OV ? code: input <- data.frame(x1 = rnorm(20), x2 = rnorm(20), x3 =

Hey, Is there any function plotting several "implicit functions" (F(x,y)=0) on the same fig. Is there anyone who has an example code of how to do this? The contour3d function in the misc3d package only work with the functions with three dimensions. Thanks a lot. Many thanks for your help. KnifeBoot [[alternative HTML version deleted]]

Hello, I'm building a package. My code is stored in foo.R. This code has two functions FUN1 and FUN2. FUN1 calls FUN2. FUN1 is listed in export() under the package NAMESPACE but NOT FUN2. After building the package when I call FUN1 is giving me an error that cannot find FUN2. I solved this by adding FUN2 in the export() NAMESPACE. However, what is puzzling me is that I have other examples