similar to: vector sprintf argument [SEC=UNCLASSIFIED]

Hello all: If I have a vector and a format, I want to do this: > A <- c(3,4,5) > F <- "Number: %d, %d, %d" > sprintf(F,A) This doesn't work because A isn't three arguments, it's just one. Is there a way to peel the vector members out of A so that sprintf can get at them? I would like to do this because I have a large set of variable-length data that

Hi All: I feel like there must be a slick R-native no-loop way to get the counts for the entries in a factor, but I'm unable to see how. Right now I'm doing this: hn.ent<-data.frame(rep(0,length(levels(hnf))), row.names=levels(hnf)) colnames(hn.ent)<-c("count") for (lev in levels(hnf)) { hn.ent[lev,"count"] <- sum(lev == hnf) } I'm sure there's a

Hello all: I have a function that writes a fairly elaborate report based on some survey data. For documentation and bookkeeping purposes, I'd like to write out in the report the function call that produced the report, or at least enough information to help me recreate the steps that led to that report. I've been generating all the reports with scripts, in order to be able to recreate

Hello all: A question from a new user. I have data on a geo-referenced curvilinear grid. This is a grid with 75 rows and 51 columns, is not aligned north-south, and the rows and columns are not straight. (And the coordinates are in meters.) I want to make image plots of this data, but where the grid is deformed according to the correct locations of the grid points, instead of coming out

Hello all: I'm sure this is a trivial request, but I'm still a beginner at this, and haven't been able to find it. I need to create simulated data based on some empirical distributions of a single variable. I've found R functions to help me simulate data based on analytical distributions, or to make simulations based on correlation matrices, but nothing so simple as what I need.

Hi Louis, You could try this: # find the index of the maximum value in each row of _data_, # disregarding the last column classified <- apply(data[,-(nclass+1)],1,which.max) ## or, if the maximum may be repeated: classified <- apply(data[,-(nclass+1)], 1, FUN = function(x) which(x == max(x))) # the variable _truth_ is just the last column of _data_ ? truth <- data[,nclass + 1] ?table

Hello: I have been give a spreadsheet to work with formed as one big table. What it consists of is a 10-row-by-40-column table for each of about 70 different locations. In other words, the table row names are repeated 70 times, once for each of the locations (whose names also appear in the same column, where it's talking about the totals for that location), e.g.: A B C

Rolf turner wrote: >I have been trying, unsuccessfully, to use identify() to (simply) >return a list of the indices of points clicked on and overplot (with >say a solid dot) each clicked-on point so that I can see where I've >been. I.e. I don't want to see the indices printed on the screen; I just want the points I've already selected to be highlighted. > >I

Hi, You can exit out of the 'identify()' routine by either: right-click > 'stop' Or click on 'stop > stop locator' in the top-left of the plot window. The script should continue with line1, line2 etc. Cheers Joe Joe Crombie Information and Risk Sciences Bureau of Rural Science Canberra Australia p: +61 2 6272 5906 e: joe.crombie at brs.gov.au

Hi Fang, An easy way of doing this is by: > matplot(one, pch = LETTERS[1:4], type = 'b') Cheers Joe Joe Crombie Information and Risk Sciences Bureau of Rural Science Canberra Australia p: +61 2 6272 5906 e: joe.crombie at brs.gov.au -----Original Message----- From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of fang liu Sent: Friday,

Dear All, I am attempting to make predictions based on a survreg() model with some censoring and a frailty term, as below: predict works fine on the original data, but not if I specify newdata. # a model with groups as fixed effect model1 <- survreg(Surv(y,cens)~ x1 + x2 + groups, dist = "gaussian") # and with groups as a random effect fr <- frailty(groups,

Hi Stephen, Check the help for predict.glm(). The argument for passing new data is actually 'newdata', as in: > pred = predict(glm.model, newdata=form[150001:200000,-1], > type="response") Cheers Joe -----Original Message----- From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of stephenc at ics.mq.edu.au Sent: Tuesday, 16

Hi Johannes, I came up with the following (assuming that if step[i] is independent of step[i-1] then it is also independent of -step[i-1]): Cheers Joe > # your (unbounded) random walk > k <- cumsum(c(0,sample(c(-1,1), 1000, rep = T))) > > #shift it to positive, to allow following calculations k <- k - min(k) > # set your bound (remember min(k) is now zero) wid <- 10

On Nov 25 00:43:22, mle+la at mega-nerd.com wrote: > http://downloads.xiph.org/releases/flac/beta/ > Please test. ./test_replaygain.sh fails for me in tonegenerator(), saying: ./test_replaygain.sh[91]: mawk: not found Testing FLAC replaygain 8000 (8000 x 1) ... -: ERROR: got partial sample Apparently, the tone-generating awk script does not work with my system's awk, which is

Hi, I'm fighting all weekend on with auth and pam to authenticate local system users. testuser is such local user and is in passwd and shadow. I want to have local system users (testuser is one of them) and virtual users. The virtual part works fine but I cannot get the local user to connect. Still pam fails finding the user. The suggested password mismatch at the end is, in my eyes,

Greetings, Does anyone know of an R code for classification and regression tree analysis (CART)? Thank you Ron Ron Thornton BVSc, PhD, MACVSc (pathology, epidemiology) Programme Co-ordinator, Active Surveillance Animal Biosecurity MAF Biosecurity Authority P O Box 2526 Wellington, New Zealand phone: 64-4-4744156 027 223 7582 fax: 64-4-474-4133 e-mail: ron.thornton at maf.govt.nz

Hi, Not sure exactly how I would word the subject line so appologies in advanced. We are trying to accomplish the following scenario: Location 1: PDC: fs01.loc1.example.com IP: 10.0.0.1 Location 2: SDC: fs01.loc2.example.com IP: 10.0.1.1 Clearly when we join the SDC to the PDC there is a naming conflict. The end result would be to have clients at each site resolve the fs01 name to

-----Original message----- From: Jeremy Allison jra at samba.org Date: Sat, 13 Feb 2010 22:09:31 -0600 To: dale at briannassaladdressing.com Subject: Re: [Samba] ads_sasl_spnego_krb5_bind failed: Program lackssupportfor encryption type [SEC=UNCLASSIFIED] > On Sat, Feb 13, 2010 at 01:35:12PM -0600, dale at briannassaladdressing.com wrote: > > Alex, > > > > I've been a

I'm using a Proliant GL-380 server running Red Had Linux ES 4 (2.6.9-5.0.3.ELSMP) and Samba 3.0.10-1.4E. The server is acting as a Domain Member Server of an ADS Windows 2003 server. The problem I haveI been having is with some groups not being "migrated" to the Linux environment, or more specifically converting the group SIDs to GIDs. The problem can be summarised as follows: *

Hi All, Just thought you might be interested in a recently released R package, spm: Spatial Predictive Modelling. It aims to introduce some novel, accurate, hybrid geostatistical and machine learning methods for spatial predictive modelling. Of 22 functions available in spm, two functions are for accuracy assessment. Perhaps they are not only useful tools for spatial predictive modelling