similar to: coerce (list) object to type 'double'

Dear R team, As this is a university email address with very small inbox limit, can I please change my R email subscription to another email address instead of this one? My new email address is wendy2.qiao@gmail.com. I have change my email in my profile, but seems that does not change my subscription. Thank you. Wendy [[alternative HTML version deleted]]

Hi all, I have a huge matrix of TRUE/FALSE table like following, and I want to count the number of TRUEs in each row. Instead of looping through each row and do length(Z[Z==TRUE]), I am wondering if there is an easier way of doing this. [,1] [,2] [,3] [1,]TRUE FALSE FALSE [2,]FALSE TRUE TRUE Thank you in advance. Wendy -- View this message in context:

Hi all, I have a matrix, for example [,1] [,2] [1,] 1 3 [2,] 4 6 I want to replicate the matrix twice and add an extra column at the end, which is [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] 1 3 1 3 1 3 2 [2,] 4 6 4 6 4 6 5 I found 'rep' only works for vector. Does anyone know how to replicate a matrix, and append the matrix?

Hello, We are porting openssh-3.1p1 onto SX-6 running on SuperUX. We landed into problem when we started running sshd with the default encryption settings. As you would have already seen on this mailing list. Basically we are facing two problems (both client and servers run on SX):- 1) If the we use the default encryption algorithm aes128-cbc then we get a Bad Packet length problem on

Hi all, I have a list of numbers, e.g., X = c(60593.23, 71631.17, 75320.1), and want to round them so the output is Y = c(60000, 80000, 80000). I tried Y<-round(X,-4), but it gives me Y = c(60000, 70000, 80000). Do anybody know how to round up a number to 10^4? Thank you in advance. Wendy -- View this message in context:

Hi all, I want to make a histogram like the one show http://nar.oxfordjournals.org/content/39/suppl_1/D1011/F1.expansion.html here , but I did not figure out how to add the red marks at the bottom of the bars. Could anybody help? Thank you very much -- View this message in context: http://r.789695.n4.nabble.com/annotate-histogram-tp3963960p3963960.html Sent from the R help mailing list archive

Dear friends i am trying to fit an Ornstein-Uhlenbeck process by MAXIMUM LIKELYHOOD method. i found these formulas on http://www.sitmo.com/article/calibrating-the-ornstein-uhlenbeck-model/ this is the mean-reverting process http://r.789695.n4.nabble.com/file/n4637271/process.txt process.txt and this is the script that i am using....... ouFit.ML=function(spread) { n=length(spread)

Sorry for post a lot of things, for the first part of code, I copied my C++ iter macro by mistake(and you can see an explicit type casting). Here is the macro definition from R_exts/Itermacros.h #define ITERATE_BY_REGION_PARTIAL(sx, px, idx, nb, etype, vtype, \ strt, nfull, expr) do { \ * const** etype *px = DATAPTR_OR_NULL(sx); *

Hi, I am new in R and stumbled on a problem my (more experienced) friends can not help with with. Why isnt this code working? The function is working, also with the loop and the graph appears, only when I build another loop around it (for different values of p) , R stays in a loop? Can't it take more then 2 loops in one program? powerb<-function(x,sp2,a,b,b1,m) {

Hi Bob, Thanks for sending around the link to that. It looks mostly right and looks like a useful onramp. There are a few things to watch out for though (I've cc'ed Romain so he's aware of these comments). @romain I hope you taake the following comments as they are intended, as help rather than attacks. The largest issue I see is that the contract for Get_region is that it *populates

I am fitting a coxph model on a large dataset (approx 100,000 patients), and then trying to estimate the survival curves for several new patients based on the coxph object using survfit. When I run coxph I get the coxph object back fairly quickly however when I try to run survfit it does not come back. I am wondering if their is a more efficient way to get predicted survival curves from a coxph

https://bugzilla.samba.org/show_bug.cgi?id=8665 Summary: Crash in free_xattr(), from recv_generator() Product: rsync Version: 3.1.0 Platform: All OS/Version: All Status: NEW Severity: normal Priority: P5 Component: core AssignedTo: wayned at samba.org ReportedBy: chris at onthe.net.au

Hi R users: I have de following data frame (called "Sx") Descripcion Nitratos Cont85g 72.40 Cont85g 100.50 Cont85g 138.30 Cont80g 178.33 Cont80g 79.01 Cont80g 74.16 Cont75g 23.70 Cont75g 15.80 Cont75g 16.20 Patron80g

I have a function in R^2, say f <- function(x,y) { ...skipped } I want to plot this function using contour, persp. wireframe, etc. I know that the function has a global minimum at (x0, y0) The naive approach is to evaluate the function on the outer product of two arrays, like this: sx <- c(seq(-3, x0, len = 100), seq(x0, 3, len = 100)[-1]) sy <- c(seq(-3, y0, len = 100), seq(y0, 3,

Hello ppl, we are using two servers, with dovecot 2.0.5, Sx and Sy, with: cat dovecot-ldap-ext: ... pass_attrs = uid=user,userPassword=password,=y=proxy,mailHost=host ... When I access server Sx via IMAP I see all my folders. When I access server Sy via IMAP it do not proxy to Sx. I want to see my IMAP folders independently of the server. any help? -- :) cumprimentos

When building R-devel with gcc 5.2.0 (mingw-w64 v4) on Windows, make check fails reg-tests-1b.R at the following check: x <- c(1:2, NA) sx <- sd(x) !is.nan(sx) Here 'sx' should be 'NA' but it is 'NaN'. It turns out this problem only appears when the function is byte compiled with optimization level 3: mysd <- function (x, na.rm = FALSE) sqrt(var(if

Hello, we’d like to propose the integration of a new backend into LLVM: NEC SX-Aurora TSUBASA Vector Engine (VE). We hope to get some feedback here and at EuroLLVM about the path and proper procedure of merging. The SX-Aurora VE is a Vector CPU on an PCI-E Accelerator card. It has 48GB memory from six HBM2 stacks, accessible with 1.2TB/s bandwidth, 8 cores with vector and scalar units, each.

Dear all, I have something about function outer() that I can't understand. Just see the following example. The two NaNs are due to 0/0, but I can't figure out the cause of the last two errors. I wonder if some one can explain this for me. ___________________________________________________________________ > sx=rbinom(10,1,0.5);ot=rbinom(10,1,0.5);ag <- rbinom(10,100,0.3);ho <-

Hello, I have a compiler in LLVM 2.9 for the KCPM3 processor. I'd like to create a subtarget for the new cpu version called KCPSM6. Besides a couple of new instructions which are not important at the moment, the KCPSM6 cpu has different instruction opcodes. Semantically the instructions are the same, hence I'd like to keep all the lowering and pattern matching stuff unmodified For

Dear helpers in this forum, This is a clarified version of my previous questions in this forum. I really need your generous help on this issue. > Suppose I have the following data set: > > id x y > 023 1 2 > 023 2 5 > 023 4 6 > 023 5 7 > 412 2 5 > 412 3 4 > 412 4 6 > 412 7 9 > 220 5 7 > 220 4 8 > 220 9 8 > ...... > Now I want to compute the