search for: pcpool

I am looking for a function like my.blockwisesum(vector, n) that computes sums of disjoint subsequences of length n from vector and can work with vector lengths that are not a multiple of n. It should give me for instance my.blockwisesum(1:10, 3) == c(6, 15, 24, 10) Is there a builtin function that can do this? One could do it by coercing the vector into a matrix of width n, and then use

Hello everybody, I have a bunch of strings like this: "IBM POWER4+ 1.9GHz" "IBM RS64-III 500MHz" "IBM RS64-IV 600 MHz" "IBM RS64 IV 750MHz" "Intel Itanium 2 Processor 6M 1.5GHz" "Intel Itanium2 1 Ghz" "Intel Itanium2 1.5GHz" "Intel

...48:16 auth: Info: gssapi(?,130.149.58.145,<gexTxPjBZACClTqR>): While processing incoming data: Miscellaneous failure (see text) Jun 08 18:48:16 auth: Info: gssapi(?,130.149.58.145,<gexTxPjBZACClTqR>): While processing incoming data: Failed to find imap/mail3.physik-pool.tu-berlin.de at PCPOOL.PHYSIK.TU-BERLIN.DE(kvno 1) in keytab FILE:/etc/krb5.keytab (des3-cbc-sha1) Jun 08 18:48:18 auth: Debug: client out: FAIL 1 Jun 08 18:48:23 imap-login: Info: Aborted login (auth failed, 1 attempts in 7 secs): user=<>, method=GSSAPI, rip=130.149.58.145, lip=130.149.58.164, TLS, session=<g...

Brian Ripley wrote (to somebody asking about "effect sizes"): > ... > Given that, I wonder if you are used to standard terminology. Good point. But I think for many of us there is more behind that. I personally belong to an (apparently fairly large) group of R users who may be enthusiastic, but are statistical laymen due to a lack of formal education in the area. The

> in some cases the bootstrap estimates for the > highest confidence level are obviously wrong: > 0.05/x -1.33318711781158 > 0.025 -1.09386961626344 > 0.05 -0.868768454819694 > 0.1 -0.652649120212949 > 0.16 0.0453058935697044 > 0.84 0.104645679223495 > 0.9 0.213385388775905 > 0.95 0.368838243723381 > 0.975 0.615868703042345 > 1-0.05/x

Ajay, thank you very much for picking up that age-old habit of posting summaries. It existed years ago on s-help and I find it is still a great thing: I would not have bothered to read your original question nor the answers you got, but I did read the summary -- and I learned something quite interesting! Maybe some others who receive multiple non-elementary answers to their questions could

Dear Lattice bit-meddlers, while within a panel function for xyplot, how can I find out the values of (effectively) xlim and ylim -- no matter whether they have been set explicitly or chosen by Lattice itself? I have just tried for an hour to find out, with no success whatsoever. I looked in Grid for something that would return such data, but got lost. I looked at tracebacks of panel calls,

> the main advantage it has over SPSS-like software is that you do not > need to explicitly create dummy variables. You only need to specify > your dependent variable and independent variables and R will fit it > (and create dummy variables automatically) for you. Does the audience know exactly what the creation of dummy variables in SPSS is and means? If not, they might consider