similar to: joining two lists...

I want to join two lists but am so for not having any luck. Can anyone assist ? Variable: myData[1] "Data.Id" "Data.Length" "Data.Weight" "1" 12 12 "2" 45 23 Variable: myData[2] "Data.Id" "Data.Length" "Data.Weight" "3" 25 56

> not sure, but the colon in xattr names is probably not handled > correctly at this point. Can you please file a bugreport so we can > track this? Bug 11162 https://bugzilla.samba.org/show_bug.cgi?id=11162 -- HAT

On Fri, Dec 18, 2015 at 01:14:25AM +0900, HAT wrote: > Hi, > > >> not sure, but the colon in xattr names is probably not handled > >> correctly at this point. Can you please file a bugreport so we can > >> track this? > > > > Bug 11162 > > https://bugzilla.samba.org/show_bug.cgi?id=11162 > > I tested samba 4.3.1 on Fedora 23 and rawhide.

Hi there! I appear to be having problems with trusted domains using 3.0a21. Using Samba as a member server, as user "nirs" on domain "Exanet-il" I am unable to log on to a member server ("snow") who is a member of the "Exanet-qa" domain. The "exanet-qa" is supposed to trust "exanet-il", and it all worked with 2.2 . This is the relevant

Hello, I have read over all of the FAQ's I could find, read all of the documnetation that I could find and still I cannot find an answer to the following problem. When I use the smbclient to check to see if Samba is working correctly I get the following response. This is running on Solaris 7 on a Sun box. If you need any other info please let me know. Any help would be very much

Hello, which .tdb files in /var/lib/samba are safe to remove (rebuilt automatically)? Long story: I have posted a couple of times lately regarding some mysterious freeze effects we've been having on the clients. We have now tried 2.2.4, 2.2.7a (this one makes it even worse) and 2.999 (3.0 pre-X) and have the same trouble on all. It seems the same configuration does NOT cause this

Dear list, I have a problem with defining a function (see below) to read my testfile (see testfile). My function only returns mydata I wish to work with attr(mydata, 'fc') as well (for labelling a plot). Principally it works if I do not insist on this function but it would be much easer if it is possible to return mydata AND attr(mydata, 'fc') by using a function. 1) testfile:

Hi. This is not a question, I had the following problem and I want to share my solution. ------- I tried to create a new virtual machine with this command: $ virt-install --connect qemu:///system -n vmTeste -r 512 -f /var/lib/libvirt/images/vmTeste.qcow2 -s 2 -c /media/Data/isos/debian-506-amd64-netinst.iso --vnc --noautoconsole --accelerate --hvm And I got this error: ERROR Unable to

I am new to R and Im some trouble with the following question... Generate 100 standard normal N(0,1) samples of size 100, X1(k),...,X100(k) where k=1,...,100 (The k is and indicie in brackets) Calculate the sample mean for each sample. For each sample mean Xbark the 0.95-confidence interval for the mean mew=0 is given by... Ik= ( Xbark plus or minus 1.96/10) Find the number of intervals such

# I have a simple function problem. I thought that I could write a function to modify a couple of vectors but I am doing something wrong #I have a standard cost vector called "fuel" and some adjustments to the #costs called "adjusts". The changes are completely dependend on the length #of the dataframe newdata I then need to take the modifed vectors and use # them later. I

Hello all, I have generated a principal components regression model using the pcr() function from the PLS package (R version 2.12.0). I am getting a "non-conformable arguments" error when I try to use the predict() function on new data, but only when I try to read in the new data from a separate file. More specifically, when my data looks like this #########training data

Hello, I'm starting to write a C function that gets a list and a matrix from R. I'm using .Call because I've undertood that this is recommended to handle lists (am I wrong?). My problem is that I can pass the matrix as a vector, but not as a 2D array. For example, in the following simple C program: #include <R.h> #include <Rdefines.h> SEXP printListElement(SEXP list,

Dear All,I encountered a problem when I use RWeka for prediction. Specifically, I use the following: res=J48(X1~.,data=mydata); predict(res), #it worked fine but when I tried to use a different data set, i.e. predict(res,newdata=mynewdata); all the predictions I get is 0, which apparently is problematic. What is weird is, if I use the old data, but use the newdata option, i.e.

I have a data frame with some factor columns. I want to drop the rows with rare factor values (and remove the factor values from the factors). E.g., frame$MyFactor takes values A 1,000 times, B 2,000 times, C 30 times and D 4 times. I want to remove all rows which assume rare values (<1%), i.e., C and D. i.e., frame <- frame[[! (frame$MyFactor %in% c("A","B"))]] except

Dear all, for a cross-validation I have to use predict.glmmPQL() , where the formula of the corresponding glmmPQL call is not given explicitly, but constructed using as.formula. However, this does not work as expected: x1<-rnorm(100); x2<-rbinom(100,3,0.5); y<-rpois(100,2) mydata<-data.frame(x1,x2,y) library(MASS) # works as expected model1<-glmmPQL(y~x1, ~1 | factor(x2),

I have completed a binomial GLM in R (details attached (finalModel.docx)) and I am trying to create a graph of observed and fitted values using the following commands: > MyData<-data.frame(time=seq(from=0,to=1323,by=1)) > Pred<-predict(M2,newdata=MyData,type="response") > plot(x=turtle$time,y=turtle$success) > lines(MyData$time,Pred) However, I get the following

Hi Group, I have a data frame below. Within this data frame there are samples (columns) that are measured more than once. Samples are indicated by "idx". So "id1" is present in columns 1, 3, and 5. Not every id is repeated. I would like to create a new data frame so that the repeated ids are averaged. For example, in the new data frame, columns 1, 3, and 5 of the original

Hi, I'm using a loop to evaluate several models by taking adjacent variables from my dataframe. When i try to get predictions for new values, i get an error message about a missing variable in my new dataframe. Below is an example adapted from ?gam in mgcv package library(mgcv) set.seed(0) n<-400 sig<-2 x0 <- runif(n, 0, 1) x1 <- runif(n, 0, 1) x2 <- runif(n, 0, 1) x3 <-

Dear R Help, I read through the archives pretty extensively before sending this email, as it seemed there were several threads on using predict with GLM. However, while my issue is similar to previous posts (cannot get it to predict using new data), none of the suggested fixes are working. The important bits of my code: set.seed(644) n0=200 #number of observations

Hi all - my first time here and am having an issue with the Predict function. I am using a tutorial as a guide, locate here: http://www.ats.ucla.edu/STAT/R/dae/mlogit.htm My code gives this error > newdata1$predicted <- predict(mlogit,newdata=newdata1,type="response") Error in `$<-.data.frame`(`*tmp*`, "predicted", value = c(0.332822934960197, : replacement has