similar to: a sequence that wraps around

This is a best practices / style question. The way I use RODBC is I something like this: > foo <- sqlQuery(db, "select * from foo") > apply(foo, 1, function{...}) That is, I use apply to iterate over each result -- row -- in the RODBC-produced dataframe. Is this how one generally wants to do this? My concern is that when apply iterates over the rows, it uses as.matrix()

I know that if I have a function that returns multiple values, I should do return(list(foo, bar)). But what do I do on the recieving end? fn <- function(x) { return(list(foo, bar)) } I know that at this point I could say values.list <- fn(x) and then access values.list[1] values.list[2] But that's hideous. I'd rather be able to say something like list(local_foo, local_bar)

In R 2.9.2, > URLdecode(c("a%20b", "b%20c")) [1] "a b" Warning message: In charToRaw(URL) : argument should be a character vector of length 1 all but the first element will be ignored Could URLdecode be modified to actually process all elements of the vector, not just the first? Thanks in advance

I have a named vector: > z <- c(1, 2, 3, 2) > names(z) <- c("a","b","c","b") > f <- c("b","c") I want to know the index in z of the first occurrence of each of the values in f. One implementation is > sapply(f, function(x) which(names(z)==x)[1]) b c 2 3 Is which() smart enough to stop when it finds in z the

Hi all. I have an old windows VM with an oldish cygwin that I use for the regression tests. Investigating one of the test failures, I see that it's for UsePrivilegeSeparation=sandbox, and it seems to be because setrlimit(RLIMIT_FSIZE, ...) is not supported. IMO, this isn't a big loss, since the most useful thing in the rlimit "sandbox" is the descriptor limits. Can anyone see

> a <- sqlQuery(irrdb, "select count(field) from mytable where field = 1") > print(a) count(field) 1 8 > paste(a) [1] "as.integer(8)" Why the as.integer() representation? I later pass the result into this write.html.table(), and what I get is rows of as.integer()... when all I want is the integer itself. as.integer(31) as.integer(21)

I didn't see this one applied to the repository yet. It may not be the best patch possible... basic problem is that _LARGEFILE64_SOURCE needs to be defined on Solaris 2.6 if AC_SYS_LARGEFILE ends up doing a '#define _FILE_OFFSET_BITS 64' If _FILE_OFFSET_BITS == 64, then <sys/resource.h> will define a 'struct rlimit64' but NOT define a 'struct rlimit' leading to

Can I configure openssh with --sandbox=seccomp_filter and have it still run on older kernels with sandboxing via rlimit? I'm asking from a linux distro packaging point of view. Does --sandbox=seccomp_filter keep the rlimit sandbox? It looks to me as if I can only link in one of the sandbox plugins. An openssh build with seccomp_filter enabled will probably have no sandbox at all on linux <

The following three calls all produce the same result (my machine is in EST): > as.POSIXct(0, tz="", origin=ISOdatetime(1970,1,1,10,0,0)) [1] "1970-01-01 10:00:00 EST" > as.POSIXct(0, tz="EST", origin=ISOdatetime(1970,1,1,10,0,0)) [1] "1970-01-01 10:00:00 EST" > as.POSIXct(0, tz="GMT", origin=ISOdatetime(1970,1,1,10,0,0)) [1]

(Using BRugs 0.7-5, R 2.14.2 32-bit on 64-bit Windows 7, OpenBUGS 3.2.1) 1. BRugs crashes R for me as follows. Sorry about the lack of detail; please let me know if / how to supply a more useful bug report on this issue. fit <- BRugsFit(...) # BRugs and OpenBUGS runs fine, the parameter estimates are reasonable # across 3 chains samplesBgr("beta") # crash

>>>>> Kirill M?ller <kirill.mueller at ivt.baug.ethz.ch> >>>>> on Wed, 11 May 2016 10:42:56 +0200 writes: > My ulimit package exposes this API ([1], should finally submit it to > CRAN); unfortunately this very API seems to be unsupported on OS X > [2,3]. Last time I looked into it, neither of the documented settings > achieved

Hi, The systrace and rlimit sandboxes have been committed and will be in snapshots dated 20110623 and later. This diff adds support for pre-auth privsep sandboxing using the OS X sandbox_init(3) service. It's a bit disappointing that the OS X developers chose such as namespace-polluting header and function names "sandbox.h", "sandbox_init()", etc. It already forced me to

This patch adds a check to see if v_end in setup_guest() wraps around to 0 and lets the builder exit gracefully when it does. Signed-off-by: Aravindh Puthiyaparambil <aravindh.puthiyaparambil@unisys.com> > -----Original Message----- > From: Keir Fraser [mailto:Keir.Fraser@cl.cam.ac.uk] > Sent: Thursday, June 01, 2006 6:14 AM > To: Puthiyaparambil, Aravindh > Cc:

https://bugzilla.mindrot.org/show_bug.cgi?id=2011 Bug #: 2011 Summary: sandbox selection needs some kind of fallback mechanism Classification: Unclassified Product: Portable OpenSSH Version: 6.0p1 Platform: All OS/Version: All Status: NEW Severity: normal Priority: P2

Hi all and thanks for your time in advance, I can't figure out why summary.lmrob complains when lmrob is used on a zooreg object. If the zooreg object is converted to vector before calling lmrob, no problems appear. Let me clarify this with an example: >library(robustbase) >library(zoo) >dad<-c(801.4625,527.2062,545.2250,608.2313,633.8875,575.9500,797.0500,706.4188,

I was wondering if the following attack would be feasible once I'm able to break into rlimit sandbox. Because sandboxed process that handles unauthenticated session is running as the 'sshd' user I was wondering if this could be used to jump between processes using ptrace(2). For example if I find a bug in the code executed before authentication I could use ptrace(2) to attach to

What's the difference between t.test(x, y) and pairwise.t.test()? Is it just that the former takes two vectors, whereas the latter takes a vector and a factor?

hello, can anyone help with this: ########################################################### ###data: measurments (response = trans) run several times at the same predictor value level (press) por<-data.frame(list(structure(list(run = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L), .Label = c("1", "3", "4"), class = "factor"), press

Hi I would like to fit a non-linear regression to the follwoing data: quantiles<-c(seq(.05,.95,0.05)) slopes<-c( 0.000000e+00, 1.622074e-04 , 3.103918e-03 , 2.169135e-03 , 9.585523e-04 ,1.412327e-03 , 4.288103e-05, -1.351171e-04 , 2.885810e-04 ,-4.574773e-04 , -2.368968e-03, -3.104634e-03, -5.833970e-03, -6.011945e-03, -7.737697e-03 , -8.203058e-03, -7.809603e-03, -6.623985e-03,

I have data that looks like YC Age Num 82 11 2 83 10 0 84 9 8 85 8 21 86 7 49 87 6 18 88 5 79 89 4 28 90 3 273 91 2 175 with a program mod1=lm(log(Num+1)~YC, data=box44) plot(log(Num+1)~YC, data=box44, pch=19, xlab="Year Class", ylab="Loge Number at age", ylim=c(0,6), xlim=c(91,82)) abline(lm(log(Num+1)~YC), col="blue", lwd=2) summary(mod1) I need to