search for: compactifi

Dear all, I have been working on an idempotent version of apply, such that applying a function f(x) = x (ie. force) returns the same array (or a permutation of it depending on the order of the margins): a <- array(1:27, c(2,3,4)) all.equal(a, iapply(a, 1, force)) all.equal(a, iapply(a, 1:2, force)) all.equal(a, iapply(a, 1:3, force)) all.equal(aperm(a, c(2,1,3)), iapply(a, 2, force))

Hi everyone, Is there a way to take an lm() model and strip it to a minimal form (or convert it to another type of object) that can still used to predict the dependent variable? Background: I have a series of 6 lm() models, each of which are being run on the same data frame of approximately 500,000 rows. I eventually want to predict all 6 of the dependent variables on a new data frame,

Frank, Please find comments in-line below... All, Note that I''ll be off-line for some doctor''s appointments part of the day Friday and will be out of the country for a week starting Saturday. So, I may be very slow responding to issues raised here for a while. Cheers, Don >Date: Wed, 29 Aug 2007 19:41:53 +0100 (BST) >From: Frank Hofmann <Frank.Hofmann at

Hi, I have a dataframe (say myData) and want to get a list (say myList) that contains a matrix for each row of the dataframe myData. These matrices are calculated based on the corresponding row of myData. Using a for()-loop to do this is very slow. Thus, I tried to use apply(). However, afaik apply() does only return a list if the matrices have different dimensions, while my matrices have

It isn't really clear that it can't work. This does work by inserting NA's. library(zoo) as.ts(as.zoo(lynx)[ c(1:3, 7) ] ) ## Time Series: ## Start = 1821 ## End = 1827 ## Frequency = 1 ## [1] 269 321 585 NA NA NA 3928 On Mon, Jun 10, 2024 at 10:32?AM Martin Maechler <maechler at stat.math.ethz.ch> wrote: > > >>>>> Spencer Graves

On Tuesday, October 1, 2019, Jacob Lifshay <programmerjake at gmail.com> wrote: > On Mon, Sep 30, 2019 at 2:30 AM Sander De Smalen via llvm-dev > <llvm-dev at lists.llvm.org> wrote: > > > > I've posted two patches on Phabricator to add support for VScale in LLVM. Excellent! > > > > A brief recap on `vscale`: > > The scalable vector type in

On Tue, Oct 1, 2019 at 8:08 AM Robin Kruppe <robin.kruppe at gmail.com> wrote: > > Hello Jacob and Luke, > > First off, even if a dynamically changing vscale was truly necessary > for RVV or SV, this thread would be far too late to raise the question. > That vscale is constant -- that the number of elements in a scalable > vector does not change during program execution

An issue was found with the netBeans installer where the installation was failing on a large ZFS filesystem. This resulted in CR 6560644 (zfs statvfs f_frsize needs work). The issue is that large filesystems can cause EOVERFLOW on statvfs() calls. This behavior is documented in the statvfs(2) man page, but I think we can do better. The problem was initially reported against ZFS, and my first fix