similar to: Quality of fit statistics for NLS?

I am trying to create a frequency distribution and I am a bit confused. Here are the commands I have entered: > data <- read.csv(file="40609_sortedfinal.csv",head=TRUE,sep=",") > NumberOfActionsByStatus = data$STATUS > NumberOfActionsByUser = data$ETS_LOGIN > NumberOfBidOffer = data$BID_OFFER > NumberOfActionsByUser.freq = table(NumberOfActionsByUser) >

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

Another request for help implementing the 'apply' functions to avoid a loop structure... I am working with a data set that includes lab measurements taken at different dates for the subjects, with some subjects having more results than others. I would like to average lab results for each subject that were taken on the same day. I can do this using a for loop, but would like to know 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 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

Dear R-helpers I have 2 variables x1=rgamma(6000, 2, 1) and x2=rgamma(6000, 3,2). I have to sort (descending) each one and split it into groups. After this each two groups must be merged into one until all population becomes one group. A dummy vector must be created for each group (8, 4, 2, 1) being equal to 1 if the individual (i) belongs to the group and equal to 0, otherwise. What I have done