similar to: Define 'in' for new class

I don't understand why I get the following results. I define two classes 'Base' and 'Derived', the latter of which 'contains' the first. I then define a generic method 'test' and overload it for each of these classes. I call 'callNextMethod()' in the overload for Derived. From the output, it appears that the overload for Base gets called twice. Why is

Hi R Helpers, I am a long time RWinEdt user and have just acquired a new laptop. I have installed RWinEdt and things are going smoothly except for one small glitch - file names are not appearing on the document tabs. When I use WinEdt (as opposed to RWinEdt), they are appearing. Can anyone offer any advice on this? Thanks in advance, Simon Knapp OS: windows7 Arch: 64 bit R version: 2.13.0

Hi List, I am building a package for a client to help them create and perform analyses against netcdf files which contain 'a temporal stack' of grids. For my examples and test cases, I create an example dataset in code (as this is a lot more space efficient than providing raw data). The code creates a netcdf file in tempdir() and an object of class 'ncdf' in the global namespace.

Background: I have an algorithm which produces a large number of small polygons (of the spatial kind) which I would like to use within R using objects from sp. I can't predict the exact number of polygons a-priori, the polygons will be grouped into regions, and each region will be filled sequentially, so an appropriate C++ 'framework' (for the point of illustration) might be: typedef

Hi List, I can't seem to find a package that implements boosting for multi-class classification. Does such a package exist?

Dear all, I'm analysing a split-plot experiment, where there are sometimes one or two values missing. I realized that if the data is slightly unbalanced, the effect of the subplot-treatment will also appear and be tested against the mainplot-error term. I replicated this with the Oats dataset from Yates (1935), contained in the nlme package, where Variety is on mainplot, and nitro on

Hello everyone, I want to get a 1km by lkm grid raster image using my csv data. If I call latitude=a, longitude=b and preciptation=c. a<-(1,2,3,4,5) b<-(6,7,8,9,10) c<-(10,20, 30,40, 50) Then I found an example in r help which goes like pts = read.table("file.csv",......) library(sp) library(rgdal) proj4string(pts)=CRS("+init=epsg:4326") # set it to lat-long pts =

Hi, I would like to use the beanplot() function from the beanplot package. Unfortunately, I can't find out how to suppress the dashed horizontal line, that shows the overall mean. In the help I've found the argument "overallline", but it only allows for "mean" or "median" . I have tried overallline = F, overallline="n", and

describe "should_not == vs. should !=" it do 5.should_not == 6 end # passes it do 5.should != 6 end # fails end # I''m running the rspec 1.1.2 gem with the corresponding Textmate bundle # The second failure surprises me. # Is != not supported? # I''d like to hear what you all think. -------------- next part -------------- An HTML attachment was

Hello all, I am very happy to announce that registration for my new course entitled "Ruby on Rails Development" at my college is now open. We are offering this course as part of our LAMP certificate which is designed for working professionals who want to upgrade their skills. I think that it is a sign of Rails'' growing maturity that I was able to propose this and work it

Dear R Users, I have a couple of proto objects like: wedge <- proto(expr={ start.year <- 2008 end.year <- 2050 }) star.rating <- wedge$proto( star = c(4, 5, 8, 10), gain = c(0, .3, .5, .7), cost = c(0, 2100, 4000, 7500), star.rating <- function(., year) 6.0, setup = function(.){ .$cost.for.star <- approxfun(.$star,

Currently in R, constructing a string containing values of variables is done using 'paste' and can be an error-prone and traumatic experience. For example, when constructing a db query we have to write, paste("SELECT " value " FROM table where date ='",cdate,"'") we are getting null result from it, because without (forgotten...)

Hi Bill, Thanks a lot for your response.But my problem still remains.The thing is i am having a data type std::vector<Value*> as i am checking for the variables in Store Instructions and Malloc Instructions.For store the case is straightforward as discussed earlier.I want the same Value* variable for malloc inst as well. bcos i cannot have a different set for only instructions. can there be

So, it seems there are enough people on the plus side, I just wanted to make sure we evaluate all sides before taking a decision to add syntactic sugar to LLVM assembler. My main concern is still the same as earlier this year: the integrated assembler for ARM is still not complete, and the more extensions we add to the back-end, the harder it'll be to get it into production quality. That

On 25 October 2013 18:33, David Peixotto <dpeixott at codeaurora.org> wrote: > Both armasm and gnu as support an ldr pseudo instruction for loading > constants that lowers to either a mov, movn, or a pc-relative ldr from the > constant pool. It would be great if the llvm integrated assembler could > support this feature as well. > Hi David, As much as I think that it's

Both armasm and gnu as support an ldr pseudo instruction for loading constants that lowers to either a mov, movn, or a pc-relative ldr from the constant pool. It would be great if the llvm integrated assembler could support this feature as well. For example, using gnu as to compile this code: .text foo: ldr r0, =0x1 ldr r0, =-0x1 ldr r0, =0x1000001 ldr r0, =bar

Hi all, I am trying to make calls to R from an MFC application running on XP and am having problems blocking the application while the call executes. I have tried the following approaches to using R from the application (note that I set a wait cursor while R is executing). 1) call rcmd in BATCH mode using system(). This works well, except that I get the cmd window popping up... which makes the

Hi All, Recently we have introduced a short syntactic sugar flag for compiling a file with libfuzzer: one just needs to add “-fsanitize=fuzzer” to the command line, and the driver would specify coverage flags and link with libfuzzer automatically. I wanted to ask whether it would make more sense to rename the flag to “-ffuzzer”, as it’s not a sanitizer, and it has a much heavier effect. Thanks,

Hi Renato, Thanks for the thoughtful reply. Please find my thoughts below. -- Qualcomm Innovation Center, Inc. is a member of Code Aurora Forum, hosted by The Linux Foundation From: Renato Golin [mailto:renato.golin at linaro.org] Sent: Friday, October 25, 2013 1:11 PM To: David Peixotto Cc: LLVM Dev; Logan Chien; Gabor Ballabas; Rafael Espíndola; Richard Barton; Amara Emerson Subject:

On Oct 25, 2013, at 5:22 PM, Sean Silva <chisophugis at gmail.com> wrote: > I’m not sure macros are a good analogy, but there are other pseudo-instructions that we’re not always able to reconstruct in disassembled code back to how the user wrote them. Or if we do, it’s purely via heuristic methods. I don’t see this as a big issue. I agree. These pseudo instructions seem like pure