search for: output1

...of my question, but I would be grateful for any advice. Thanks I'm trying to put the output from a for loop into a data frame, however I have not been successful. The steps I have taken are: *R-code:* >for (k in 1:(nt-1-n0) ){ > n<- n0-1+k > lam=n/nt > Q=x[n] > output1<-data.frame(cbind(k,n,lam,Q)) > output1 > } > output1 *R-Output * k n lam Q 1 14 18 0.9 18 I would like the output in this format, but for all the values of k (i.e. 1-14 as opposed to just the last value) I have also tried *R-code:* > nt=20 > n0=5 > x=c...

...have a function 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 e...

...= paste("output", 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    ...

...Rmetrics package and the rollMean function 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.

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

...ions*nthin, n.burnin = 0, DIC = F, debug = T, save.history=F) which opens WinBUGS and executes the following log file: display(log) check(C:/Documents and Settings/sbadamakis/Desktop/model_4/model_4.txt) model is syntactically correct data(C:/Documents and Settings/sbadamakis/Desktop/model_4/output1/data.txt) data loaded compile(1) model compiled inits(1,C:/Documents and Settings/sbadamakis/Desktop/model_4/output1/inits1.txt) model is initialized gen.inits() command #Bugs:gen.inits cannot be executed (is greyed out) thin.updater(1) update(0) set(beta) update(20) coda(*,C:/Documents...

...l advantage here). The following does exactly what I want (except for the loops). My aim is to find the solution which minimises 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 Biologi...

...),ifelse(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 Itera...

Dear R forum I have one stupid question, but I have no other solution to it in sight? Suppose some R process creates graphs etc alongwith main output as data.frame e.g output1 = data.frame(bands = c("A", "B", "C"), results = c(74, 108,  65)) I normally save this output as some csv file. But I need to save this output as some image (I understand this is weird, but I need to find out some way to do so) e.g. for graph, I use 'png' as...

Have someone experience with the model-aircraft simulator Aerofly Prof. deluxe? Get someone them running? Thanks for your help joerg -- Super-Acktion nur in der GMX Spieleflat: 10 Tage f?r 1 Euro. ?ber 180 Spiele downloaden und spiele: http://flat.games.gmx.de

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...

...ng class. 2. 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$out...

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/

...97.90,1631.40,1794.40,1954.90,2188.80,2371.70,2563.60) Y<-c(2208.30,2271.40,2365.60,2423.30,2416.20,2484.80,2608.50,2744.10,2729.30,2695.00,2826.70,2958.60,3115.20,3192.40,3187.10,3248.80,3166.00,3277.70,3492.00,3573.50) money<-data.frame(r,M,Y) attach(money) ols1<-lm(log(M)~log(r)+log(Y)) output1<-summary(ols1) coef1<-ols1$coefficients a1<-coef1[[1]] b11<-coef1[[2]] b21<-coef1[[3]] money.m1<-nls(log(M)~a+b*r^g+c*Y^g,data=money,start=list(a=a1,b=b11,g=1,c=b21)) summary(money.m1) money.m2<-boxcox(money.m1) Prof. Ikerne del Valle Erkiaga Department of Applied Economi...

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...

...it would be appreciated. Basically, I kind of want to run some sort of simulation along the lines of below to check whether this could be the reason for the differences. Thanks. x<-c(11,12,13,14,16) y<-c(2,4,6,8,12) z<-c(14,18,22,50,20) LHS<-cbind(x,y) sample<-nrow(lhs) # METHOD1 output1<-lm(LHS ~ z) resids<-resid(output1) sigma.hat1<-crossprod(resids)/sample print(sigma.hat1) print(det(sigma.hat1)) # METHOD2 fit1<-lm(LHS[,1] ~ z) fit2<-lm(LHS[,2] ~ z) correctionfactor<-sample-1/sample sigma.hat2<-correctionfactor*var(cbind(resid(fit1),resid(fit2))) print...

i  want to print in the console and to have an excel file like this no_GWP                NbOfPolicyClass1[0-1000]     NbOfPolicyClass2[1000-3000]        NbOfPolicyClass3[> 3000] No_GWPMax=8    NbpolicyClass1=5                   NbpolicyClass2=4                            NbpolicyClass3 =3              i have do it like this:!!! data1 <-

...has 2 specifications (calls) for 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]]

...files are in /usr/local/samba/printer/W32X86/3/ Looks still good here. - Now, rpcclient addprinter: rpcclient debian -d 10 -A /scratch/authfile.txt -c "addprinter \"lj8000\" \"lj8000\" \"HP LaserJet 8000 Series PCL 6\" \"Samba Printer Port\"" >output1.txt 2>&1 it gives me: result was NT_STATUS_UNSUCCESSFUL but why ? let's see the *complete* debug output at: It's WERR_ACCESS_DENIED Now the my addprinter.pl script has added the following lines to my /etc/printcap, as well as to my smb.conf file: lj8000:\ :lp=:rm=thomas.at....

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