search for: arrrays

Hi everyone, I am trying to simulate the ''grep -v'' behavior in an array: Ex: vgrep([''aaa'',''bbb'',''ccc'',''aaaddd''], ''aaa'') Would return: [''bbb'', ''ccc''] So I tried to use ruby to do it: normally the ''-'' operation should be

Dear R users, I am trying to call a Perl subroutine from R . The subroutine returns an arrray contaning three elements wihch are all strings. But the calling in R return an integer which is 0. I have no idea how this could happen. Maybe becasue I shouldn't use system() in R or I should load a particular package for my R in windows. Please help ....

On 10/02/2012 12:52 AM, Duncan Sands wrote: > Hi Philip, > >> Does anyone have any suggestions on how to best represent an assumption >> statement(*) in IR? > > good question! There have been various attempts, for example Nick tried > teaching the optimizers to not prune the branch to unreachable in > > br %cond, label %assumption_holds, %assumption_doesnt_hold

On Tue, 02 Oct 2012 14:43:51 -0700 Philip Reames <listmail at philipreames.com> wrote: > On 10/02/2012 12:52 AM, Duncan Sands wrote: > > Hi Philip, > > > >> Does anyone have any suggestions on how to best represent an > >> assumption statement(*) in IR? > > > > good question! There have been various attempts, for example Nick > > tried

With code like: if @params[:pnumber] =~ /\s*p?(\d+)\s*/ if student = Student.find_first(:conditions => ["pnumber like \":pnumber%\"", {:pnumber => $1}]) @borrower = student elsif emp = Employee.find_first(:condiwions => ["pnumber like \"?\"", {:pnumber => $1}]) @borrower = emp else

All I want to do is find the objects that were created today under the ''created_on'' column. I''ve tried many ways, here is one example using the chronic gem. @products = Product.find_all_by_created_on(Chronic.parse(''today'')) I must be missing something right in front of me .... Thanks for any help.

Hi all I may have found a little problem in the code of predict.nnet, that comes up only if you have NA's in your dataset: the present code: z <- matrix(NA, length(keep), nout, dimnames = list(rn, ^^^^^^^^^^^^ dimnames(object$fitted)[[2]])) should be (at least if I understand things correctly) z <- matrix(NA, length(rn),

Hello all, I am using RSPerl package to display plots in R . I want to be able to compare some data in boxplot and in histogram and in probplot ( from e1071 package) - ( cumulative probability plot - normal) I have a nested arrray of data ... from perl like the following data[0][0] = (1,2,3,.....) data[0][1] = ( 2,1,2,2,2,2,2) - could be different lengths... etc ( could be more two sets to

Hi, I quote from the smb.conf man page: ------------------------------------ log level (G) The value of the parameter (a astring) allows the debug level (logging level) to be specified in the smb.conf file. This parameter has been extended since the 2.2.x series, now it allow to specify the debug level for multiple debug classes. [...] Example: log level = 3 passdb:5 auth:10 winbind:2

...dex array. In the case of a matrix, > 20 and 30 are assigned to the elements indexed by the indexes following > the NA's. Is this a reasonable behavior. Thanks in advance for > explanation. A is a 1D array but it behaves just like a vector. Wierder things happen with multi-dimensional arrrays > A <- array(NA, dim=c(6,1,1)) > A[idx,1,1] <- B > A , , 1 [,1] [1,] 10 [2,] NA [3,] NA [4,] NA [5,] NA [6,] NA One problem with what happens for matrices is that > idx <- c(1,4,5,6) > AA <- matrix(NA,6,1) > AA[idx,1] <- B Error in "[<-&...

Dear all, I found a difference between the indexing of an array and that of a matrix when there are NA's in the index array. The screen copy is as follows. > A <- array(NA, dim=6) > A [1] NA NA NA NA NA NA > idx <- c(1,NA,NA,4,5,6) > B <- c(10,20,30,40,50,60) > A[idx] <- B > A [1] 10 NA NA 40 50 60 > AA <- matrix(NA,6,1) > AA [,1] [1,] NA [2,]

...atrix, > > 20 and 30 are assigned to the elements indexed by the indexes following > > the NA's. Is this a reasonable behavior. Thanks in advance for > > explanation. > > A is a 1D array but it behaves just like a vector. > Wierder things happen with multi-dimensional arrrays > > > A <- array(NA, dim=c(6,1,1)) > > A[idx,1,1] <- B > > A > , , 1 > > [,1] > [1,] 10 > [2,] NA > [3,] NA > [4,] NA > [5,] NA > [6,] NA > > One problem with what happens for matrices is that > > > idx <- c(1,...

Thank you Bert and Jim, Jim, FYI , I have an error message generated as Error in allstates : object 'allstates' not found Bert, it is working. However, If I want to chose to include only mos years example, 2003,2004,2007 and continue the analysis as before. Where should I define the years to get as follow. 2003 2004 2007 AL 2 1 1 NY 1 1 2 Thank you

Hi Philip, > Does anyone have any suggestions on how to best represent an assumption > statement(*) in IR? good question! There have been various attempts, for example Nick tried teaching the optimizers to not prune the branch to unreachable in br %cond, label %assumption_holds, %assumption_doesnt_hold assumption_doesnt_hold: unreachable This then leads to %cond being replaced

Does anyone have any suggestions on how to best represent an assumption statement(*) in IR? In particular, I want to expose the information implied by the assumption to the optimization passes without emitting code (after optimization) to check the assumption itself. I've tried a couple of options so far, and none have gotten me quite the right semantics. Has anyone else implemented