search for: output2

Hi r users, I have two data sets (X1, X2). For example, time1<-c( 0, 8, 15, 22, 43, 64, 85, 106, 127, 148, 169, 190 ,211 ) outpue1<-c(171 ,164 ,150 ,141 ,109 , 73 , 47 ,26 ,15 ,12 ,6 ,2 ,1 ) X1<-cbind(time1,outpue1) time2<-c( 0 ,8 ,15 , 22 ,43 , 64 ,85 ,106 ,148) output2<-c( 5 ,5 ,4 ,5 ,5 ,4 ,1 ,2 , 1 ) X2<-cbind(time2,output2) I want to merge X1 and X2 into a big dataset X by time1 and time2 so that the missing item in output2 will be replace by 0. For example, there is no output2 when time2=127, then the corresponding output will be 0. Anyon...

...ion and I would like to do the same thing except Sum instead of Mean.) I imagine someone has done this, I just can't find it anywhere. Example: x <- somevector #where x is 'n' entries long #what I would like to do is: x1 <- x[1:20] output1 <- sum(x1) x2 <- x[2:21] output2 <- sum(x2) x3 <- ... ouput <- c(output1, output2, ...) Thanks, JV -- View this message in context: http://www.nabble.com/rolling-sum-%28like-in-Rmetrics-package%29-tp15459848p15459848.html Sent from the R help mailing list archive at Nabble.com.

...K[(K[,25]>3000),] > NbpolicyClass3 <- nrow(class3) > Output<- "No_GWPMax ,NbpolicyClass1[0-1000],NbpolicyClass2[1000-3000],NbpolicyClass3[>3000]" > Output <- paste(No_GWPMax ,NbpolicyClass1,NbpolicyClass2,NbpolicyClass3,sep=",") > cat(Output,file="Output2.csv",fill=TRUE,append=TRUE) but that doesn't give me the title juste 8 5 4 3 any ideas?? thank you a lot [[alternative HTML version deleted]]

Hello! I need some help, because I don't know how this error means: Error: variables ?Output1?, ?Output2?, ?Output3?, ?Output4?, ?Output5? were specified with different types from the fit Execution halted Can you help me? Thank You

...ot;, i, ".csv", sep = ""), row.names = FALSE)                                                                     } Depending on value of 'n', I get different output files. Suppose n = 3, that means I am having three output csv files viz. 'output1.csv', 'output2.csv' and 'output3.csv' output1.csv date               yield_rate 12/23/2010        5.25 12/22/2010        5.19 ................................. ................................. output2.csv date               yield_rate 12/23/2010        4.16 12/22/2010        4.59 ................

...ises processing time. cheers Dave ## Basic paramters k1=3 k2=2 n=10 m1 = matrix (1:(n*k1), nrow=n, ncol=k1) m2 = matrix (1:(n*k2), nrow=n, ncol=k2) ## Approach 1: loop on k1 output1 = matrix(0,nrow=n,ncol=k2) pt1 = proc.time(for (i in 1:k1) output1 = output1 + m1[,i]*m2) ## Approach 2: loop on k2 output2 = matrix(0,nrow=n,ncol=k2) pt2 = proc.time(for (i in 1:k2) output2[,i] = rowSums( m1*m2[,i] )) ## Same result sum(output1-output2) -- David Pleydell Laboratoire de Biologie Environnementale USC INRA-EA 3184 Universit? de Franche-Comt? Place Leclerc F 25030 Besan?on France (0033) 0381665763 dpl...

...b$Z=="U",sample(9:10,length(b$Z),replace=TRUE),""))) b$Z<-as.numeric(b$Z) This is basically just starting off with a new and partially random data set every time that then goes through a bunch of other commands (not shown) and ends with the following outputs saved. Output1, Output2, Output3, Output4 where each of these is just a single number. My questions is: 1. How do I repeat the entire series of commands x number of times and save each of the outputs into a structure like this: Output1 Output2 Output3 Output4 Iteration 1 Iteration 2 It...

...I am sourcing into R that does some calculations to generate a simulated dataset. I currently have a a list set up to store the outputs from the function and a plot of one of them (a set of ordered pairs) like this: foo<-function(x,y,z){ ## do some work here ## list(x=x,y=y,z=z,output1=output1,output2=output2, plot=plot(output1[,1],output1[,2],type=p)); } The problem I am having is that when I do >work<-foo(x,y,z) >work it will show the plot, but I would like to be able to repeatedly call it like I can call the different plots in an lm without having to display everything else t...

...t;, NA, ????????????????????????? "exo -> med", "g2",? NA, ????????????????????????? "med -> endo", "g3", NA ??? ??? ??? ??? ??? ??? ??? "med<->med",NA,1, ??? ??? ??? ??? ??? ??? ??? "endo<->endo",NA,1),? ncol=3,byrow=T) output2<-sem(path1,covar1,N=400,fixed=c("exo")) summary(output) With this i can get the direct effect of exo on endo. ?But? if i want 'med' above to be a latent variable that is identified by a number of variables - in the example below i use just one - do i proceed as follows. ???...

Hi,there I'm doing some R batch jobs in Unix. Something like R <prog1> output1 --save & R <prog2> output2 --save & prog1 and prog2 are running at the same time and they are essentially same except it contains different parameter values. I was wondering if two processes will affect each other? Hopefully they are two independent jobs. It's a beginner's question and thanks for your help. C...

I need some sort of utility to calculate a checksum of an Ogg file. Two differently encoded Ogg:s should give different checksums, but the same file with different tags should give the same result. (The serial number doesn't work here, obviously. I need something that is changed if a bit of the file is lost.) -- Björn Lindström <bkhl@elektrubadur.se> http://bkhl.elektrubadur.se/

On Wed, Jun 15, 2016 at 10:20:54AM -0500, libvirt_users@skagitattic.com wrote: > Hello, > > I am curious why when using virt-sparsify the apparent-size of the file > gets reduced to the actual file size? Is there a way to get the > apparent-size left as the full size? > > In the man page for virt-sparsify it has a section on > "IMPORTANT NOTE ABOUT SPARSE OUTPUT

On Wed, Jun 15, 2016 at 10:20:54AM -0500, libvirt_users@skagitattic.com wrote: > Hello, > > I am curious why when using virt-sparsify the apparent-size of the file > gets reduced to the actual file size? Is there a way to get the > apparent-size left as the full size? > > In the man page for virt-sparsify it has a section on > "IMPORTANT NOTE ABOUT SPARSE OUTPUT

...or qcow2 files, the virtual size is not related to the "apparent" > size, as you can easily prove: So you are saying when I do the virt-sparsify its converting the image from raw to cow2? I studied the man page for virt-sparsify and tried again with the flag "--format raw" (output2.cow2). This output files looks as I first expected. # ls -lrh total 4.7G -rw-r--r-- 1 root root 790M Jun 14 22:36 output.qcow2 -rw-r--r-- 1 root root 51G Jun 21 18:34 output2.qcow2 -rw-r--r-- 1 root root 51G Jun 14 22:30 input.qcow2 -rw-r--r-- 1 root root 512M Jun 14 22:30 file.img # du -sh * 0...

...are saying when I do the virt-sparsify its converting the image > from raw to [qcow2]? No. virt-sparsify will use the same input and output formats, unless you use the --convert option. > I studied the man page for virt-sparsify and tried again with > the flag "--format raw" (output2.cow2). This output files looks as I > first expected. > > # ls -lrh > total 4.7G > -rw-r--r-- 1 root root 790M Jun 14 22:36 output.qcow2 > -rw-r--r-- 1 root root 51G Jun 21 18:34 output2.qcow2 > -rw-r--r-- 1 root root 51G Jun 14 22:30 input.qcow2 > -rw-r--r-- 1 root root...

Hello, I have a number of files output1.dat, output2.dat, ... , output20.dat, each of which monitors several variables over a fixed number of timepoints. From this I want to create a data frame which contains the mean value between all files, for each timepoint and each variable. The code below works, but it seems like I should be able to do t...

...Redo the function if it returns "try-error" 3. Otherwise keep the output of the function. I'm not sure how to create the above construct. The code I have below doesn't work: __BEGIN__ myfunction <- function(the_x) { # do something a = list(output1=val1, output2 = val2) a } out <- try(suppressWarnings(myfunction(x)),silent=T) if (class(out) == "try-error") { #this clause doesn't seem to "redo" out <- myfunction(X) } else { ll <- out$output1 }...

...fy its converting the > > image from raw to [qcow2]? > > No. virt-sparsify will use the same input and output formats, unless > you use the --convert option. > > > I studied the man page for virt-sparsify and tried again with > > the flag "--format raw" (output2.cow2). This output files looks as > > I first expected. > > > > # ls -lrh > > total 4.7G > > -rw-r--r-- 1 root root 790M Jun 14 22:36 output.qcow2 > > -rw-r--r-- 1 root root 51G Jun 21 18:34 output2.qcow2 > > -rw-r--r-- 1 root root 51G Jun 14 22:30 inpu...

...or a function (say, "analysis(specification, inputdata)" ) that runs some statistical manipulations (regressions, nonlin models, etc. etc.) on the elements of the zoo data frames. Thus I want to be able to run (this is pseudo R code): for (i in 1:3) { output1<-analysis(b[1], a[i]) output2<-analysis(b[2], a[i]) } Thanks in advance for any pointers or help. Best, Costas [[alternative HTML version deleted]]

...T/projects/test-suite/External/SPEC/CINT2000/164.gzip 164.gzip.reference_output 164.gzip.reference_output.small compile_info compile_parms exec_info_input1 exec_info_input2 exec_info_input3 exec_info_input4 exec_info_input5 exec_info_input6 exec_info_input7 input1 Makefile make_src_164.gzip output1 output2 output3 output4 output5 output6 output7 patched_src src Does this look ok to you? Thanks for your help. Daya On Wed, Jun 29, 2011 at 3:05 AM, Duncan Sands <baldrick at free.fr> wrote: > Hi Daya, > > > checking for spec2000 benchmark sources... no, not found in > > $LLVM...