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Displaying 20 results from an estimated 30000 matches similar to: "x[1,], x[1,,], x[1,,,], ..."

2006 Oct 19
2
arraytake for extracting subarrays from multidimensional arrays
Hi, I recently encountered a problem with array subsetting and came up with a fix. Given an array of arbitrary dimensions, in which the number of dimensions is only known at runtime, I wanted to extract a subarray. The main issue with doing this is that in order to extract a subarray from an array of (say) 4 dimensions you usually specify something like this a.subarray <- a[,c(4,2),1:5,]
2016 Sep 25
3
withAutoprint({ .... }) ?
>>>>> Henrik Bengtsson <henrik.bengtsson at gmail.com> >>>>> on Sat, 24 Sep 2016 11:31:49 -0700 writes: > Martin, did you post your code for withAutoprint() anywhere? > Building withAutoprint() on top of source() definitely makes sense, > unless, as Bill says, source() itself could provide the same feature. I was really mainly asking
2016 Oct 19
2
How to assign NULL value to pairlist element while keeping it a pairlist?
On Sat, Oct 15, 2016 at 2:00 AM, Martin Maechler <maechler at stat.math.ethz.ch> wrote: >>>>>> Michael Lawrence <lawrence.michael at gene.com> >>>>>> on Wed, 12 Oct 2016 15:21:13 -0700 writes: > > > Thanks, this was what I expected. There is a desire to > > eliminate the usage of pairlist from user code, which > >
2016 Oct 12
2
How to assign NULL value to pairlist element while keeping it a pairlist?
Thanks, this was what I expected. There is a desire to eliminate the usage of pairlist from user code, which suggests the alternative of allowing for function arguments to be stored in lists. That's a much deeper change though. On Wed, Oct 12, 2016 at 12:31 PM, Henrik Bengtsson <henrik.bengtsson at gmail.com> wrote: > Michael, thanks for this info. > > I've stumbled upon
2016 Oct 12
2
How to assign NULL value to pairlist element while keeping it a pairlist?
Hi Henrik, It would help to understand your use case for pairlists. Thanks, Michael On Wed, Oct 12, 2016 at 9:40 AM, Michael Lawrence <michafla at gene.com> wrote: > The coercion is probably the most viable workaround for now, as it's > consistent with what happens internally for calls. All pairlists/calls > are converted to list for subassignment, but only calls are
2018 Jul 02
1
MARGIN in base::unique.matrix() and base::unique.array()
Hi, The man page for base::unique.matrix() and base::unique.array() says that MARGIN is expected to be a single integer. OTOH the code in charge of checking the user supplied MARGIN is: if (length(MARGIN) > ndim || any(MARGIN > ndim)) stop(gettextf("MARGIN = %d is invalid for dim = %d", MARGIN, dx), domain = NA) which doesn't really make sense. As
2002 May 30
1
problem of compile fortran program
I want to call dll from R but encounter problem in compiling the fortran program. First I try "Rcmd shlib prog.f", it failed and warning: make[1]: `libR.a' is up to date. make: *** No rule to make target `'prog.o', needed by `prog.a'. stop. Then I try to compile it by absoft fortran compiler, it works and produces prog.dll. But when this routine is called in R, it
2014 May 01
3
How to test if an object/argument is "parse tree" - without evaluating it?
This may have been asked before, but is there an elegant way to check whether an variable/argument passed to a function is a "parse tree" for an (unevaluated) expression or not, *without* evaluating it if not? Currently, I do various rather ad hoc eval()+substitute() tricks for this that most likely only work under certain circumstances. Ideally, I'm looking for a isParseTree()
2004 May 27
1
R-1.9.0: Error in paste(ncomp, "LV's") : Argument "ncomp" is missing, with no default
Is it just my installation or bug in 1.9.0 ? The same thing works fine in 1.8.1 Best regards, Ryszard # R-1.9.0 library(pls.pcr) nr <- 8; ndim <- 2 x <- matrix(rnorm(nr*ndim), nrow=nr) y <- as.matrix(x[,1]) for (i in 2:ndim) y <- y + x[,i] y <- y + rnorm(length(y)) m <- pls(x,y,validation='CV') # Error in paste(ncomp, "LV's") : Argument
2011 Mar 27
1
run function on subsets of matrix
I was wondering if it is possible to do the following in a smarter way. I want get the mean value across the columns of a matrix, but I want to do this on subrows of the matrix, given by some vector(same length as the the number of rows). Something like nObs<- 6 nDim <- 4 m <- matrix(rnorm(nObs*nDim),ncol=nDim) fac<-sample(1:(nObs/2),nObs,rep=T) ##loop trough different
2018 Aug 13
2
substitute() on arguments in ellipsis ("dot dot dot")?
Interestingly, as.list(substitute(...())) also works. On Sun, Aug 12, 2018 at 1:16 PM, Duncan Murdoch <murdoch.duncan at gmail.com> wrote: > On 12/08/2018 4:00 PM, Henrik Bengtsson wrote: >> >> Hi. For any number of *known* arguments, we can do: >> >> one <- function(a) list(a = substitute(a)) >> two <- function(a, b) list(a = substitute(a), b =
2019 Jun 22
2
methods package: A _R_CHECK_LENGTH_1_LOGIC2_=true error
DISCLAIMER: I can not get this error with R --vanilla, so it only occurs when some other package is also loaded. I don't have time to find to narrow that down for a reproducible example, but I believe the following error in R 3.6.0: > Sys.setenv("_R_CHECK_LENGTH_1_LOGIC2_" = "true") > library(oligo) Error in omittedSig && (signature[omittedSig] !=
2014 Nov 24
1
Error "promise already under evaluation ..." with function(x, dim=dim(x))
On Sat, Nov 15, 2014 at 1:47 AM, Duncan Murdoch <murdoch.duncan at gmail.com> wrote: > > On 14/11/2014, 9:06 PM, Henrik Bengtsson wrote: > > I've meant to ask the following for several years now. I understand why: > > > >> foo <- function(x, dim=dim) { dim } > >> foo(1) > > Error in foo(1) : > > promise already under evaluation:
2007 Oct 29
1
meaning of lenwrk value in adapt function
R-listers, In using the adapt function, I am getting the following warning: Ifail=2, lenwrk was too small. -- fix adapt() ! Check the returned relerr! in: adapt(ndim = 2, lower = lower.limit, upper = upper.limit, functn = pr.set, Would someone explain what the 'lenwrk' value indicates in order to help diagnose this issue. Also, what are the possible codes for Ifail, so I can set
2019 Jun 23
2
methods package: A _R_CHECK_LENGTH_1_LOGIC2_=true error
Thank you. To correct myself, I can indeed reproduce this with R --vanilla too. A reproducible example is: $ R --vanilla R version 3.6.0 Patched (2019-05-31 r76629) -- "Planting of a Tree" ... > Sys.setenv("_R_CHECK_LENGTH_1_LOGIC2_" = "true") > loadNamespace("oligo") Error in omittedSig && (signature[omittedSig] != "missing") :
2007 Mar 28
1
warnings on adapt
Hi all I was wondering if someone could help me. I have to estimate some parameters, so I am using the function nlm. Inside this function I have to integrate, hence I am using the function adapt. I don't understand why it is giving the following warnings: At the beginning: Warning: a final empty element has been omitted the part of the args list of 'c' being evaluated was:
2018 Aug 13
1
substitute() on arguments in ellipsis ("dot dot dot")?
Since you're already using bang-bang ;) library(rlang) dots1 <- function(...) as.list(substitute(list(...)))[-1L] dots2 <- function(...) as.list(substitute(...())) dots3 <- function(...) match.call(expand.dots = FALSE)[["..."]] dots4 <- function(...) exprs(...) bench::mark( dots1(1+2, "a", rnorm(3), stop("bang!")), dots2(1+2, "a",
2019 Jun 25
3
methods package: A _R_CHECK_LENGTH_1_LOGIC2_=true error
**Maybe this bug needs to be understood further before applying the patch because patch is most likely also wrong** Because, from just looking at the expressions, I think neither the R 3.6.0 version: omittedSig <- omittedSig && (signature[omittedSig] != "missing") nor the patched version (I proposed): omittedSig <- omittedSig & (signature[omittedSig] !=
2007 Nov 02
0
applying duplicated, unique and match to lists?
Dear R developers, While improving duplicated.array() and friends and developing equivalents for the new ff package for large datasets I came across two questions: 1) is it safe to use duplicated.default(), unique.default() and match() on arbitrary lists? If so, we can speed up duplicated.array and friends considerably by using list() instead of paste(collapse="\r") 2) while
2023 Mar 11
2
Multiple Assignment built into the R Interpreter?
FWIW, it's possible to get fairly close to your proposed semantics using the existing metaprogramming facilities in R. I put together a prototype package here to demonstrate: https://github.com/kevinushey/dotty The package exports an object called `.`, with a special `[<-.dot` S3 method which enables destructuring assignments. This means you can write code like: .[nr, nc] <-