similar to: combining same-day lab measurements with 'apply'

dum is a simple data frame transferred to Splus using the dump() command in Splus and the source() in R. All fields are numeric. There are no missing data. The data frame looks like it is should: > apply(dum,2,mode) yrcl sland s02 s234 "numeric" "numeric" "numeric" "numeric" > apply(dum,2,is.vector) yrcl sland s02 s234

Hi, Peter et al.: On 2017-01-09 4:24 AM, peter dalgaard wrote: > On 09 Jan 2017, at 10:53 , Spencer Graves <spencer.graves at prodsyse.com> wrote: > >> # Define an object of class 'dum' >> k <- 1 >> class(k) <- 'dum' >> str(k) # as expected >> >> # Define print.dum >> print.dum <- function(x, ...) >>

Hi, All: I'm having trouble getting deparse(substitute(x)) inside print.generic to consistently I'm having trouble getting a print.something to work consistently. Consider the following toy example: # Define an object of class 'dum' k <- 1 class(k) <- 'dum' str(k) # as expected # Define print.dum print.dum <- function(x, ...)

Hi, Can anyone help me with the following. I have been using R for Monte Carlo simulations and got some results I couldn't explain. Therefor I performed following short test: -------------- mean.sds <- NULL sample.sizes <- 3:30 for(N in sample.sizes){ dum <- NULL for(I in 1:5000){ x <- rnorm(N,0,1) dum <- c(dum,sd(x)) } mean.sds<- c(mean.sds,mean(dum)) }

Does anyone know if there is an R function that will take a matrix like this jim 1 0 0 0 0 0 jim 0 1 0 0 0 0 jim 0 0 1 0 0 0 bob 1 0 0 0 0 0 bob 0 0 1 0 0 0 harry 0 0 1 0 0 0 harry 0 0 0 1 0 0 harry 0 0 0 0 1 0 harry 0 0 0 0 0 1 and make it like this? (that is, add together rows that have the same name?) jim 1 1 1 0 0 0 bob

Dear List, I'm using gam in a multiple imputation framework -- specifying the knot locations, and saving the results of multiple models, each of which is fit with slightly different data (because some of it is predicted when missing). In MI, coefficients from multiple models are averaged, as are variance-covariance matrices. VCV's get an additional correction to account for how

Dear all, I have a dataframe which looks like this (dummy): date<-c("jan", "feb", "mar", "apr", "may", "june", "july", "aug","sep","oct","nov","dec") col1<-c(8.2,5.4,4.3,4.1,3.1,2.5,1.1,4.5,3.2,1.9,7.8,6.5) col2<-c(3.1,2.3,4.7,6.9,7.5,1.1,3.6,8.5,7.5,2.5,4.1,2.3)

I've tried to move objects from S to R. In S+, I use data.dump() and data.restore(). I've made a file all.dum using data.dump(ls()) in S+, but the R command load("all.dum") gives an error: > load("/jaz/all.dum") Error: restore file corrupted -- no data loaded Is there any way to pass my objects from S+ to R? Thanks Agus Dr. Agustin Lobo Instituto de Ciencias de

Hi, I have some general questions about statistical analysis for a research dataset and a request for advice on using R and associated packages for a valid analysis of this data. I can only pose the problem as how to run multiple ANOVA tests on time series data, with reasonable controls of the family-wise error rate. If we run analysis at many small sections of a long time-series, the Type-I

Dear all, I am trying to analyze some non-linear data to which I have fit a curve of the following form: dum <- nls(y~(A + (B*x)/(C+x)), start = list(A=370,B=100,C=23000)) I am wondering if there is any way to determine meaningful quality of fit statistics from the nls function? A summary yields highly significant p-values, but it is my impression that these are questionable at best given

Hi Soumya, One example, we have a common working directory dri_fleat in the gluster volume drwxrwsr-x 22 root dri_fleat 4.0K May 1 15:14 dri_fleat my user (phaley) does not own that directory but is a member of the group dri_fleat and should have write permissions. When I go to the nfs-mounted version and try to use the touch command I get the following ibfdr-compute-0-4(dri_fleat)%

> opt -load lib­dum­my­pass.so -dum­my­pass hel­lo.ll Looks like you are loading a shared library different from "LLVMHello.so". did you change the name of the compilation unit from "Hello.cpp" into "dummypass.cpp"? (As asked previously by Andrzej) did you register the dummy pass? > RegisterPass<DummyPass> X("dummypass",

Hi, I was wondering if there were any additional test we could perform to help debug the group write-permissions issue? Thanks Pat On 06/27/2017 12:29 PM, Pat Haley wrote: > > Hi Soumya, > > One example, we have a common working directory dri_fleat in the > gluster volume > > drwxrwsr-x 22 root dri_fleat 4.0K May 1 15:14 dri_fleat > > my user (phaley) does

Hi, Could you please confirm the following steps for debugging a pass? 1. copy your pass into llvm/lib/Transforms/Hello/Hello.cpp 2. name you pass Hello 3. insert debug messages like:     errs() << "Vis­iting func­tion " << F.get­Name(); 4. get LLVM bitcode:    clang -O3 -emit-llvm hello.c -c -o hello.bc5. disassemble the bitcode:     llvm-dis hel­lo.bc 6. run the pass on

Hi all, Suppose: y<-rnorm(100) x1<-rnorm(100) lm.yx<-lm(y~x1) To predict from a new data source, one can use: # works as expected dum<-data.frame(x1=rnorm(200)) predict(lm.yx, newdata=dum) Suppose lm.yx has been run and we have the lm object. And we have a dataframe that has columns that don't correspond by name to the original regressors. I very! naively assumed that doing

Hi I'm trying to measure the effect of a policy intervention (Box and Tiao, 1975). This query has to do with the coding of the model rather than with the particulars of my dataset, so I'm not providing the actual dataset (or a simulated one) in this case, apart from some general description. The time series are of length n=34 (annual observations between 1977 and 2010). The policy

On 06/30/2017 07:56 PM, Pat Haley wrote: > > Hi, > > I was wondering if there were any additional test we could perform to > help debug the group write-permissions issue? Sorry for the delay. Please find response inline -- > > Thanks > > Pat > > > On 06/27/2017 12:29 PM, Pat Haley wrote: >> >> Hi Soumya, >> >> One example, we have a

Hi, I have a server running under CentOS 5.8 and I appear to be in a situation in which the NFS file server is not recognizing the available space on a particular disk (actually a hardware RAID-6 of 13 2Tb disks). If I try to write to the disk I get the following error message [root at nas-0-1 mseas-data-0-1]# touch dum touch: cannot touch `dum': No space left on device However, if I check

Iulia, You need to check the contents of the hello.ll (or hello.bc) file rather than the input *.c file - ultimately that's what opt consumes. Try compiling without any optimisations: clang -O0 -emit-llvm -S hello.c -c -o hello.ll -Andrzej On 18/09/2019 11:34, iulia_s24 wrote: > Hi, > > Actually I copy-pasted step 5 from the article in which I found the > solution, in the text

Hi Soumya, When I originally did the tests I ran tcpdump on the client. I have rerun the tests, doing tcpdump on the server tcpdump -i any -nnSs 0 host 172.16.1.121 -w /root/capture_nfsfail.pcap The results are in the same place http://mseas.mit.edu/download/phaley/GlusterUsers/TestNFSmount/ capture_nfsfail.pcap has the results from the failed touch experiment capture_nfssucceed.pcap has