search for: vecs

Dear useRs, I want to write a function that generates all the possible combinations of diff(). Example: If my vector has length 5, I need the diff() until lag=4 -> c(diff(my.vec), diff(my.vec, lag=2), diff(my.vec, lag=3), diff(my.vec, lag=4)) If it has length 4, I need until lag=3 -> c(diff(my.vec), diff(my.vec, lag=2), diff(my.vec, lag=3)) So, it must be until lag=(length(my.vec)-1).

I have a list (length 750), each element containing a vector of unique strings (unique gene ids), with length up to ~40 (median 15). I want to compile a matrix of all possible triplets and their frequency within gene elements. Using combn and a lot of looping, I am accomplishing this but it is VERY slow. I've tried to figure out a way to vectorize this, using "match" and

Dear R-Helpers: I am a entry level user of R. Have the following question. Many thanks in advance. # value.vec stores values value.vec <- c('a','b','c') # which.vec stores the locations/indexs of values in value.vec. which.vec <- c(3, 2, 2, 1) # How can I obtain the following vector based on the value.vec and which.vec mentioned above # vector.I.want <-

The attached patch adds some sanity checks to the "type" argument of quantile(). Output from the following commands show the change of behavior with the current patch: vec <- 1:10 quantile(vec, type = c(1, 2)) quantile(vec, type = 10) quantile(vec, type = "aaa") quantile(vec, type = NA_real_) quantile(vec, type = 4.3) quantile(vec, type = -1) Current behavior

On Tuesday 16 December 2008 01:03:36 Evan Cheng wrote: > FYI. http://leonardo-m.livejournal.com/73732.html > > If anyone is motivated, please file bugs for the losing cases. Also, > it might make sense to incorporate the tests into our nightly tester > test suite. FWIW, I just ported my ray tracer benchmark to C and found that llvm-gcc gives much worse performance than gcc on x86

FYI. http://leonardo-m.livejournal.com/73732.html If anyone is motivated, please file bugs for the losing cases. Also, it might make sense to incorporate the tests into our nightly tester test suite. Thanks, Evan

Dear helpRs Does anyone have an elegant way of doing the following: For a given numeric vector, e.g. vec <- c(3,2,6,4,7) Create a series of vectors where all but 1 of the values are replaced by 0's, e.g. vec.a <- c(3,0,0,0,0) vec.b <- c(0,2,0,0,0) vec.c <- c(0,0,6,0,0) vec.d <- c(0,0,0,4,0) vec.e <- c(0,0,0,0,7) I have looked at `replace', but can't think of a

Dear R-list I am having troubles understanding how the function is.numeric() works. Any help appreciated. Some commands are given here (the output and my comments are given below) vec <- c(1.4, NA, NA, NA) sapply(vec,FUN=is.numeric) is.numeric(vec[2]) is.na(vec[2]) is.numeric(NA) vec <- c(TRUE, FALSE, NA, NA) sapply(vec,FUN=is.numeric) is.numeric(vec[2]) is.numeric(vec[3])

On Fri, May 31, 2019 at 01:28:55AM -0400, Scott Kostyshak wrote: > The attached patch adds some sanity checks to the "type" argument of > quantile(). Output from the following commands show the change of > behavior with the current patch: > > vec <- 1:10 > quantile(vec, type = c(1, 2)) > quantile(vec, type = 10) > quantile(vec, type = "aaa")

Recently our automated testing system has caught a curious assertion while testing Xen 4.1.5 on a HaswellDT system. (XEN) Assertion ''(sp == 0) || (peoi[sp-1].vector < vector)'' failed at irq.c:1030 (XEN) ----[ Xen-4.1.5 x86_64 debug=n Not tainted ]---- (XEN) CPU: 0 (XEN) RIP: e008:[<ffff82c48016b2b4>] do_IRQ+0x514/0x750 (XEN) RFLAGS: 0000000000010093 CONTEXT:

What should findInterval(x,vec,all.inside=TRUE) return when length(vec)<=1, so there are no inside intervals? R-3.3.0 gives a decreasing map of x->output when length(vec)==1 and -1's when length(vec)==0. Would '0' in all those cases be better? > findInterval(x=c(10, 11, 12), vec=11, all.inside=TRUE, rightmost.closed=FALSE, left.open=FALSE) [1] 1 0 0 >

Dear R friends: Can someone help me with the following problem? Many thanks in advance. # Problem Description: # I want to write functions which take a (character) vector of dataframe names as input argument. # For example, I want to extract the number of observations from a number of dataframes. # I tried the following: nobs.fun <- function (dframe.vec) { nobs.vec <-

Dear list, I have a character vector such vec.names<- c("a", "b") It happens that I have also two R objects called "a" and "b" that I would like to merge. Is it possible to do something like cbind(vec.names[1], vec.names[2]) ending up with the same result as cbind(a,b) Bellow is a reproducible example of what I need to to: dat<-

I found myself wanting to average a vector [vec] within each level of a factor [Fac], returning a vector of the same length as vec. After a while I realised that lm1 <- lm(vec ~ Fac) fitted(lm1) did what I want. But there must be another way to do this, and it would be good to be able to apply other functions than mean() in this way. Cheers, Murray -- Dr Murray Jorgensen

Hi there, I wrote a function that wraps MASS::boxcox as: bc <- function(vec) { lam <- boxcox(lm(vec ~ 1)) lam <- lam$x[which.max(lam$y)] (vec^lam - 1)/lam } When I invoke it as: > x <- runif(20) > bc(x) Error in eval(predvars, data, env) : object 'vec' not found I have googled, and rewrote the above function as: bc <- function(vec) { dat <<-

Hi there, I wrote a function that wraps MASS::boxcox as: bc <- function(vec) { lam <- boxcox(lm(vec ~ 1)) lam <- lam$x[which.max(lam$y)] (vec^lam - 1)/lam } When I invoke it as: > x <- runif(20) > bc(x) Error in eval(predvars, data, env) : object 'vec' not found I have googled, and rewrote the above function as: bc <- function(vec) { dat <<-

Hi all I have the following regular expression problem: I want to find complete elements of a vector that end in a repeated character but where the repetition doesn't make up the whole word. That is, for the vector vec: vec<-c("aaaa", "baaa", "bbaa", "bbba", "baamm", "aa") I would like to get "baaa" "bbaa"

For a long time I've wanted a way to conveniently extract multiple elements from a list, which [[ doesn't allow. Can anyone suggest an efficient function to do this? Wouldn't it be a sensible addition to R? For example, alist <- list() alist[[1]] <- list() alist[[1]]$name <- "first" alist[[1]]$vec <- 1:4 alist[[2]] <- list() alist[[2]]$name <-

Hi, there I'm currently trying to figure out how to keep my "factor" levels for a variable when moving it from one data frame or matrix to another. Example below: vec1<-(rep("10",5)) vec2<-(rep("30",5)) vec3<-(rep("80",5)) vecs<-c(vec1, vec2, vec3) resp<-rnorm(2,15) dat<-as.data.frame(cbind(resp, vecs)) dat$vecs<-factor(dat$vecs) dat R returns: resp vecs 1 1.57606068767956 10 2 2.30271782269308 10 3 2.39874788444542 10 4 0.963987738423353 10 5 2.03620782454740...

This is what I tried: > num.vec <- c(12.34,56.78,90.12,34.56) > names(num.vec)<-c("first","second","third","fourth") > num.vec first second third fourth 12.34 56.78 90.12 34.56 > seq<-(1:4) > num.mat<-rbind(num.vec,seq) > num.mat first second third fourth num.vec