similar to: Dantzig Selector

Hi, I am unable to do something fairly simple. I have matrices called Table1,..., Table10. I want to be able to print them using a loop. So I wrote: ################## for (i in 1:10){ disp<-paste("Table", i, sep="") eval(parse(text=disp)) } ################## but this produces no output. Any ideas?

Hi, For very large matrices, is this the most efficient way to add two variables together? ############################# attach(attenu) new<-rowSums(cbind(mag, station)) ############################# Also, could I be directed to some resources for working with very large datasets? Thanks

Hi, I would like to compute a goodness-of-fit statistic for one data series against a t-distribution, and obtain the quantiles of the distribution of the statistic with given degrees of freedom. I wonder if this is implemented in a package. I know that the critical values have to be computed for every distribution, and this requires numerical integration typically. I would prefer if I could get

In the following data.frame there are 6 columns, but 7 are written to the CSV file. install.packages("pmlr") library(pmlr) data(enzymes) write.table(enzymes, sep=",", eol="\n",file="albert.csv")

Hey all, Maybe someone has seen my problem before with OpenSSH under cygwin. I'm trying to use key-based authentication and it's failing. Configuration, permissions and -ddd information is provided in this email. Thanks, Brian Hayward ---------- Forwarded message ---------- Date: Thu, 9 Oct 2003 10:12:47 -0500 (CDT) From: hayward at slothmud.org To: cygwin at cygwin.com Subject: Re:

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

Dear all, I'm attempting to use a piecewise regression to model the trajectory of reproductive traits with age in a longitudinal data set using a mixed model framework. The aim is to find three slopes and two points- the slope from low performance in early age to a point of high performance in middle age, the slope (may be 0) of the plateau from the start of high performance to the

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

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

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

I'm using a Debian woody based system (partially upgraded to 'testing' in order to use tls with ldap), with samba_2.2.7 source built by debian/rules with LDAP turned on, using gcc 3.0.4, libldap2-tls_2.0.23-14, and libldap2_2.0.23-14. I'm setting up PDC service -- when I try to join a windows machine (this is XP) to the domain, I get 'specified user does not exist' on 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 all, I am using the example on page 737 of "The R Book" by Michael J Crawley, to plot factor loadings against each other (in a multivariate analysis). However the following line code plot(loadings(model)[,1],loadings(model)[,2],pch=16,xlab="Factor 1", ylab="Factor 2") throws an error message "Error in plot.window(...) : need finite

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 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 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