similar to: colSums and rowSums with arrays - different classes and dim ?

I forgot to mention that if I transfer the mail to my Gmail or Outlook address I can download the attachments without any problem. More over I've completely removed the firewall server from the equation, I plugged the adsl line directly into the mail server and the problem is still there, so my guess is that the firewall isn't the problem here. I'll do the pcaps for Aki Thanks

Hi everyone, I'm trying to find a solution for this bug who appears 2 months ago : dovecot: imap(%USER%): Error: read(<binary stream of mailbox INBOX UID (%d)>) failed: Broken pipe (FETCH BINARY[2] for mailbox INBOX UID (%d) Where %USER% is the unix user and %d the UID of the mailbox. This error appears each time a user tries to download an attachment from one of his emails.

Working with an NxMxO sized matrix, currently I can do this in my code: if (max(colSums(array)) >= number) But to get an equivalent result using rowSums, I have to do: for (i in 1:10) { if (max(rowSums(array[,,i])) >= number) } I'm running both in a much larger loop that loops millions of times, so speed and such is quite a big factor for me. Currently, the colSums line uses about

I know this is a bit early since the game isn't released yet. But I'm just soooo curious. Can someone try a motivated guess if B&W will be playable on Linux with Wine? Many other "3D" games work and this game is said to use a lot of "own" stuff, for example EAX and A3D is not supported because of their built-in sound engine. Comments or whatever would be great!

> On Nov 5, 2018, at 6:19 PM, Carl St-Laurent <stlauca at a3d-concept.com> wrote: > > Hi everyone, > > I'm trying to find a solution for this bug who appears 2 months ago : > > dovecot: imap(%USER%): Error: read(<binary stream of mailbox INBOX UID (%d)>) failed: Broken pipe (FETCH BINARY[2] for mailbox INBOX UID (%d) That looks a bit goofy ? read() should

Full_Name: Nick Efthymiou Version: R1.5.0 and above OS: Red Hat Linux Submission from: (NULL) (162.93.14.73) With the introduction of the functions rowSums(), colSums(), rowMeans() and colMeans() in R1.5.0, function "SEXP do_colsum(SEXP call, SEXP op, SEXP args, SEXP rho)" was added to perform the fast summations. We have an excellent opportunity to improve the accuracy by

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I've uploaded a package colSums_1.0.tar.gz to CRAN /src/contrib/Devel. It contains functions colSums, colMeans, colVars, colStdevs, rowSums, rowMeans, rowVars, and rowStdevs. These do simple, fast arithmetic on columns/rows of a matrix, or more generally across dimensions of an array, e.g. colSums(m) = apply(m, 2, sum) but faster. They should be compatible with the corresponding S-Plus

For your consideration: > z [,1] [,2] [1,] 1 NA [2,] 2 NA [3,] 3 NA > colSums(z) [1] 6 NA Correct, according to the documentation > colSums(z,na.rm=T) [1] 6 0 Surprising to me, but, as documented, correctly consistent with apply() and >sum(NULL) [1] 0 The documentation for sum() explicitly notes that the sum of an empty set is 0 by definition, so that users

Full_Name: Doug Grove Version: 1.7.0 OS: Linux Submission from: (NULL) (209.31.211.56) Hi, Minor mistake in the documentation on the colSums page. In the ARGUMENTS section it states for 'dims' that: For `col*', the sum or mean is over dimensions `dims+1, ...'; for `row*' it is over dimensions `1:dims'. These two are reversed. Thanks, Doug Grove

As best I understand it, colSums (and associated functions) in S+ 6 are optimized functions (calling special C routines) for doing simple matrix math. For example, it seems like (in S+): all.equal(colSums(m), apply(m, 2, sum)) should be TRUE for any matrix m. It also seems like colSums (and its brethren) are very fast. My question: Are there equivalents to colSums in R? Thanks, Dave Kane

Hi, I have a matrix, say m=matrix(c( 983,679,134, 383,416,84, 2892,2625,570 ),nrow=3 ) i can find its row/col sum by rowSums(m) colSums(m) How do I divide each row/column by its rowSum/colSums and still return in the matrix form? (i.e. the new rowSums/colSums =1) Thanks. Casper -- View this message in context:

Hi all, I'm trying to learn R after years of Matlab's experience. Here is an issue I couldn't solve today. Consider the following piece of code (written by memory): for(i in 1:n){ submat <- data[1:i,] C <- colSums(submat) } The problem is that at the first iteration, data[1:1,] reduces to a vector and colSums returns an error. This sounds really strange to me

Hi, all! My project today is to write a speedy colSums(), which is a function available in S-Plus to add the columns of a matrix. Here are 4 ways to do it, with the time it took (elapsed, best of 3 trials) in both R and S-Plus: m <- matrix(1, 400, 40000) x1 <- apply(m, 2, sum) ## R=16.55 S=52.39 x2 <- as.vector(rep(1,nrow(m)) %*% m) ## R= 2.39 S= 8.52 x3 <-

I have a data frame called test shown below that i would like to summarize in a particular way : I want to show the column sums (columns y ,f) grouped by country (column e1). However, I'm looking for the data to be split according to column e2. In other words, two tables of sum by country. One table for "con" and one table for "std" shown in column e2. Finally at the

Hello What is the status of the samba RODC? I'm trying to setup a PDC - RODC schema and this is what i do On my RODC kinit administrator then samba-tool domain join my domain.com rodc -U Administrator The sync is complete Committing SAM database Sending DsReplicateUpdateRefs for all the replicated partitions Setting RODC invocationId Setting isSynchronized and dsServiceName Setting up

Background: ---------- I'm trying to debug a two-node pacemaker/corosync cluster where I want to be able to do live migration of KVM/qemu VMs. Storage is backed via dual-primary DRBD (yes, fencing is in place). When moving the VM between nodes via 'pcs resource move RES NODENAME', the live migration fails although pacemaker will shut down the VM and restart it on the other node.

Hi, I'd like to simply add column-wise using Matrix objects (Csparse). It looks like one can apply mosty any base function to these objects (i.e., apply, colSums), but there is a nasty conversion to traditional matrix objects if one does that. Is there any workaround? I can see colSum listed in the help for Class 'CsparseMatrix' , but I wonder whether I'm using the default

Hello all, I'm struggling to grasp how I might use lapply() instead of looping to run approx() on a list consisting of multiple arrays - each of equal dimension. But simpler than that, I haven't been able to successfully apply approx() to an array, unless I loop through the third dimension and extract the matrix. See example code below... Any suggestions will be gratefully received. Thanks

I have a question on RowSums. Lets say i have a timeSeries table A B C 1/1/90 NA 1 1 1/2/90 NA 1 1 1/3/90 NA 1 1 1/4/90 NA 1 1 1/5/90 1 1 1 1/6/90 1 1 1 if i use RowSums, i will get 1/5/90 3 1/6/90 3 but i want 1/1/90 2 1/2/90 2 1/3/90 2 1/4/90 2 1/5/90 3 1/6/90 3 I cant