search for: cande

I am still searching for a solution to what i think is a simple problem i am having with building a vector in a for loop. I have built a more understandable example so hopefully that will help..help you, help me, if you know what i mean. dev=400 #test location model TAZs to reference cands=c(101,105,109) #Create Object of length of cands candslength=length(cands) #TEST TAZ Vector

All, In the function below I have 24 individuals and 6 calculations per individual. The 6 calculations are collected each time in a 1:24 loop when calculating "delta". I'd like to collect all 144 = 24*6 calculations in one vector ("delta.patient.comb"). The function works as is via indexing, but is there an easier way to collect the measurements via appendinng the 6

Using the Cement hardening data in Anderson (2008) Model Based Inference in the Life Sciences. A Primer on Evidence, and working with the best model which is lm ( y ~ x1 + x2, data = cement ) the AIC value from R is model <- lm ( formula = y ~ x1 + x2 , data = cement ) AIC ( model ) 64.312 which can be converted to AICc by adding the bias

Good day all, I am having seom trouble building a simple vector. Below my sample code shows what ime trying to do and i have pointed out where the issue is. What happens not is that a single "TAZDetermine_FEET" is selected by i need multiple values, as many as there are "cands". I am thinking that this should occur within the for loop and add a

Hi, I have a complex-valued vector X in C^n. Given another complex-valued vector Y in C^n, I want to find a permutation of Y, say, Y*, that minimizes ||X - Y*||, the distance between X and Y*. Note that this problem can be trivially solved for "Real" vectors, since real numbers possess the ordering property. Complex numbers, however, do not possess this property. Hence the

Hello, This is a question motivated by curiosity, not a pressing problem. Any responses are much appreciated! In the following code, function reg1 calls glm with a formula object while reg2 uses a string. In both cases, glm works; however, in the second case, the add1 function fails with the following message: "Error in eval(predvars, data, env) : invalid 'envir' argument."

Hi, I was wondering if there was an R package or routines for the Dantzig Selector (Candes & Tao, 2007). I know Emmanuel Candes has Matlab routines to do this but I was wondering if someone had ported those to R. Thanks, T ---Reference--- @article{candes2007dantzig, title={{The Dantzig selector: statistical estimation when p is much larger than n}}, author={Candes, E. and Ta...

I have done some printf profiling and found that supermin's calls to dpkg for individual packages are quite expensive. Here are some patches that gather all information on demand where possible. On my Debian/unstable-based workstation at home, preparing a minimal appliance using $ ./supermin --use-installed --prepare bash -o supermin.d now takes ~3.5s (previously ~15s). Turning that

Hi all, I have two sets: dig<-c("DAVID ADAMS","PIERS AKERMAN","SHERYLE BAGWELL","JULIAN BAJKOWSKI","CANDIDA BAKER") import<-c("by DAVID ADAMS","piersAKERMAN","SHERYLE BagWEL","JULIAN BAJKOWSKI with ","Cand BAKER","smith green")     I want to get the following result from

Hi, I have been experimenting for a while with tryCandidate() method of the pre-RA mischeduler. I have by chance found some parameters that give quite good results on benchmarks on SystemZ (on average 1% improvement, some improvements of several percent and very little regressions). Basically, I add a "latency heuristic boost" just above processor resources checking:

I am using the AICmodavg package and using R version 2.15.1. I need help with code that is instead being read as text. Below is a subset of code... I actually have 12 models, but I am trying to get this to work for 2 below right now. Everything 'appears' to work through the line starting with Modnames. After that the code starting with aictab and beyond is recognized as text and not

I am using the "predict" function on a support vector machine (svm) object, and I don't understand why I can't predict on a dataset with more observations than the training dataset. I think this problem is a generic "predict" problem, but I'm not sure. The original svm was fit on 50 observations.

Hi R-helpers, I have a character object called dd that has 32 elements each of which is a model formula contained within quotation marks. Here's what it looks like: > dd [1] "lm(y ~ 1,data=Cement)" "lm(y ~ X,data=Cement)" "lm(y ~ X1,data=Cement)" [4] "lm(y ~ X2,data=Cement)" "lm(y ~

Dear moderator, If possible I would like to send in the following question for R-help: I am analyzing a small data set using PGLS with phylogenetic uncertainty taken into account and thereby including 100 potential phylogenetic tree scenarios. I've managed to run models on all of the different trees and performed model averaging to get parameter estimates for the intercept and most of the

Hello I can see several postings on this mailing-list that people have problem with mounting ext3 partition with mode data=journal. See URL's: https://www.redhat.com/archives/ext3-users/2004-March/msg00000.html https://www.redhat.com/archives/ext3-users/2004-March/msg00050.html We are going to use ext3 on a Compact Flash disk in true IDE mode. We need this filesystem to be as safe and

Happy New Year, all! I want to do calculations on each element of a list l, but i want the returned list element to be named differently after the calculation. Is it possible to do the renaming somehow within the lapply call? l <- list(a=NA, b=NA) lapply(l, function(x) {names(x) <- "new name"; return(x) }) This does not work, any ideas? TIA

Hi, I have data on individuals (B) who participated in events (A). If ALL participants in an event are a subset of the participants in another event I would like to remove the smaller event and if the participants in one event are exactly similar to the participants in another event I would like to remove one of the events (I don't care which one). The following example does that however it

I have a vector and need to count how many data points fall inside each bin: dat <- rnorm(100) breaks <- -3:3 table((cut(dat, breaks))) (-3,-2] (-2,-1] (-1,0] (0,1] (1,2] (2,3] 3 13 42 30 12 0 if I reverse the breaks vector, the results remains the same: breaks <- rev(breaks) table((cut(dat, breaks))) (-3,-2] (-2,-1] (-1,0] (0,1] (1,2]

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On Thu, Mar 26, 2015 at 11:50:20PM -0700, Andrew Trick wrote: > > > On Mar 26, 2015, at 7:36 PM, Tom Stellard <tom at stellard.net> wrote: > > > > Hi, > > > > I have a program with over 100 loads (each with a 10 cycle latency) > > at the beginning of the program, and I can't figure out how to get > > the machine scheduler to intermix ALU