similar to: building package

Dear expeRts, I am trying to wrap up a package "utilities" (for my internal use). After adding a function datNAtreat that uses mapply, R CMD check gives WARNINGs for "S3 generic/method consistency", "checking replacement functions" and?"checking foreign function calls", all of which are accompanied by the following error message: Error in .try_quietly

Hello, Can someone explain why my exclude option is not excluding filles as instructed in my script below. I have tried multiple methods and still have been unsuccessful in excluding the one file "test.sql". The methods I have tried are: 1. Removing EXTRAFLAG variable -a 2. Removing using -a 3. Option --include infront of --exclude and behind of --exclude. 4. rsync /software/testdir/

Thanks for both the mapply and array approaches! However, although intended to generate the same result, they don't: # mapply approach n = 3 sa <- rnorm(n,0.8,0.1) so <- rnorm(n,0.5,0.1) m <- rnorm(n,1.2,0.1) mats = mapply(function(sa1, so1, m1) matrix(c(0,sa1*m1,so1,sa1),2,2,byrow=T), sa, so, m, SIMPLIFY = FALSE) print(mats) [[1]] ????????? [,1]????? [,2] [1,] 0.0000000

> Matthew Ahrens wrote: > > Ross Newell wrote: > >> What are this issues preventing the root directory being stored on > >> raidz? > >> I''m talking specifically about root, and not boot which I can see > >> would be > >> difficult. > >> > >> Would it be something an amateur programmer could address in a > >>

On 28/09/2017 9:10 AM, Evan Cooch wrote: > Thanks for both the mapply and array approaches! However, although > intended to generate the same result, they don't: > > # mapply approach > > n = 3 > sa <- rnorm(n,0.8,0.1) > so <- rnorm(n,0.5,0.1) > m <- rnorm(n,1.2,0.1) > mats = mapply(function(sa1, so1, m1) > matrix(c(0,sa1*m1,so1,sa1),2,2,byrow=T),

hi, guys, my first post. i'm scouring the web site, but don't seem to be able to find a compatibility mapping for older versions of samba. i need to upgrade to the latest sparc version which is compatible with solaris 8...all my searches are bringing up the solaris 9 code. can someone point me in the right direction? thanks (and apologies in advance if it is easy to find and i'm

Sure -- thanks -- only took me 3-4 attempts to get aperm to work (as opposed to really thinking hard about how it works ;-) On 9/28/2017 11:55 AM, Duncan Murdoch wrote: > On 28/09/2017 9:10 AM, Evan Cooch wrote: >> Thanks for both the mapply and array approaches! However, although >> intended to generate the same result, they don't: >> >> # mapply approach

I wanted to send out status on the effort to make a version of Solaris install available that supports zfs as a root file system. I''ve got a version of it ready for distribution, but I''d like to test it on the Build 62 community release before I make it available. Without the build 62 community release, I have to test it on a build 61 image, updated with some build 62 packages.

http://rubyforge.org/tracker/?func=detail&atid=1051&aid=3960&group_id=256 I posted this bug yesterday. Seems to be confirmed, since someone else has the same problem on a different platform (Fedora 4 and Max OS X). So, if you are using Oracle, don''t be in a rush to upgrade to Rails 1.1 unless you have the time to figure this problem out for yourself. -- Lori Olson

The Bioconductor build for a package DirichletMultinomial on R Under development (unstable) (2013-02-26 r62077) -- "Unsuffered Consequences" at http://bioconductor.org/checkResults/devel/bioc-LATEST/DirichletMultinomial/george2-buildsrc.html shows * creating vignettes ... ERROR ... Error: processing vignette ?DirichletMultinomial.Rnw? failed with diagnostics: chunk 21 (label

I have found that specifying different "sizes" in the sample command has a funny effect on the random sampling. The code below is a condensed version of a function I wrote to simulate a bootstrap method. For simplicity, I eliminated the internal bootstrap loop, but kept a statement to draw one bootstrap sample, because this is where the problem occurs. The output (mean(y)^2) should be

Hello! I have noticed that mapply() drops names in R 2.3.1 as well as in r-devel. Here is a simple example: l <- list(a=1, b=2) k <- list(1) mapply(FUN="+", l, k) [1] 2 3 mapply(FUN="+", l, k, SIMPLIFY=FALSE) [[1]] [1] 2 [[2]] [1] 3 Help page does not indicate that this should happen. Argument USE.NAMES does not have any effect here as it used only in a bit special

I''m working in a development environment of Mac OS X with MySQL, and a production deployment environment of Redhat with Oracle XE. In the course of setting up a new continuous build server that more closely mimics our production environment, I got stuck on the following strangeness on the build server (Linux, Oracle). 1. rake fails 2. rake test_units works 3. rake test_functional

I have a unit test which fails using Rails 1.2RC2, because a method marked by the before_create filter is firing twice when my ActiveRecord is saved. Is a before_create filter supposed to cause multiple invocations? We have assumed it is called once, and only once, when the object is created, in our code (but we unit tested it to make certain). This is one of three issues I have with my unit

How do I install samba on my LINUX machine. All that I have done is unzipped it. Where is the exacutable? -------------- next part -------------- HTML attachment scrubbed and removed

Hi, Starting with ordinary vectors, so we know what to expect: > mapply(function(x, y) {x * y}, 101:106, rep(1:3, 2)) [1] 101 204 309 104 210 318 > mapply(function(x, y) {x * y}, 101:106, 1:3) [1] 101 204 309 104 210 318 Now with an S4 object: setClass("A", representation(aa="integer")) a <- new("A", aa=101:106) > length(a)

Vectorize is defined to return a function that acts as if 'mapply' was called. So we have: > mapply(dput,1:2) # mapply form 1L # calls dput on each element of 1:2 2L [1] 1 2 > Vectorize(dput)(1:2) # Vectorize form 1L # same behavior 2L [1] 1 2 Same thing with a named argument: >

I have a problem that surfaced in my attempt to upgrade my application to Rails 1.1. We have a STI model on the "belongs_to" side of a has_many/belongs_to relationship. All my unit tests for this model pass, and the relationships all seem to work fine. But in my functional tests, I''m getting errors. I''ve traced it back into the call to the has_many

I get an error when using self-defined (not standard) functions with mapply with S4 objects from the raster package that I develop: "Error in as.character(sys.call(sys.parent())[[1]]) : cannot coerce type 'closure' to vector of type 'character'". Does anyone understand why? The problem is illustrated below. Thanks, Robert > # First a general example that works

In an earlier post, a person wanted to divide each of the rows of rawdata by the row vector sens so he did below but didn't like it and asked if there was a better solution. rawdata <- data.frame(rbind(c(1,2,2), c(4,5,6))) sens <- c(2,4,6) temp <- t(rawdata)/sens temp <- t(temp) print(temp) Gabor sent three other solutions and I understood 2 of them but not the