similar to: Pl. provide and Input for var.test (PR#716)

I want to use var.test function of ctest library. I was able to generate the output from R on the input given by rnorm. But when I store the same data set provided by rnorm into a file, and then read a file into a dataframe, then on using the dataframe as a parameter to var.test function - it gives an error "not enough x observations". I'll explain the above mentioned problem of

I want to use var.test function of ctest library. I was able to generate the output from R on the input given by rnorm. But when I store the same data set provided by rnorm into a file, and then read a file into a dataframe, then on using the dataframe as a parameter to var.test function - it gives an error "not enough x observations". I'll explain the above mentioned problem of

I want to use var.test function of ctest library. I was able to generate the output from R on the input given by rnorm. But when I store the same data set provided by rnorm into a file, and then read a file into a dataframe, then on using the dataframe as a parameter to var.test function - it gives an error "not enough x observations". I'll explain the above mentioned problem of

I want to use var.test function of ctest library. I was able to generate the output from R on the input given by rnorm. But when I store the same data set provided by rnorm into a file, and then read a file into a dataframe, then on using the dataframe as a parameter to var.test function - it gives an error "not enough x observations". I'll explain the above mentioned problem of

I want to use var.test function of ctest library. I was able to generate the output from R on the input given by rnorm. But when I store the same data set provided by rnorm into a file, and then read a file into a dataframe, then on using the dataframe as a parameter to var.test function - it gives an error "not enough x observations". I'll explain the above mentioned problem of

I want to use var.test function of ctest library. I was able to generate the output from R on the input given by rnorm. But when I store the same data set provided by rnorm into a file, and then read a file into a dataframe, then on using the dataframe as a parameter to var.test function - it gives an error "not enough x observations". I'll explain the above mentioned problem of

I want to use var.test function of ctest library. I was able to generate the output from R on the input given by rnorm. But when I store the same data set provided by rnorm into a file, and then read a file into a dataframe, then on using the dataframe as a parameter to var.test function - it gives an error "not enough x observations". I'll explain the above mentioned problem of

Dear all, I have one problem and did not find any solution.(I have also attached the problem in text file because sometimes column spacing is not good in mail) I have a file(file.txt) attached with this mail.I am reading it using this code to make a data frame (file)- file=read.table("file.txt",fill=T,colClasses = "character",header=T) file looks like this- Chr Pos

Dear list, I have very little experience in dealing with proportions, i am sure this is a very simple question but i could find no suitable answer beyond doing a chi-sq test and then using the Marascuilo procedure as a post-hoc analysis. I am simply wanting to know if the proportions ( i.e the number of Yes / No) significantly differ between the cases and if so which cases are significantly

Hi, I have a transaction block as follow: begin Hello.transaction(input1,input2) input1.save for i in 0 to count input2[i].input1_id = input1.id input2[i].save end end rescue end I have used validates_uniqueness_of for input2 in the model The problem is, when there is duplicate record in input2, input1 and the first record in input2

Le 29 mai 2010 à 01:08, Bill Wendling a écrit : > Hi Stéphane, > > The SSE support is the LLVM backend is fine. What is the code that's generated? Do you have some short examples of where LLVM doesn't do as well as the equivalent scalar code? > > -bw > > On May 28, 2010, at 12:13 PM, Stéphane Letz wrote: We are actually testing LLVM for the Faust language

Hi all, I have a vector size allocation problem with R 2.0.1 (script and output shown): > var1 <- sum (input1 * input2, na = TRUE) > gc() used (Mb) gc trigger (Mb) Ncells 199327 5.4 785113 21.0 Vcells 71039552 542.0 206003790 1571.7 > var2 <- sum (input1 * input2 / input2, na = TRUE) Error: cannot allocate vector of size 524288 Kb input1 and

On Sat, May 29, 2010 at 12:42 AM, Stéphane Letz <letz at grame.fr> wrote: > > Le 29 mai 2010 à 01:08, Bill Wendling a écrit : > >> Hi Stéphane, >> >> The SSE support is the LLVM backend is fine. What is the code that's generated? Do you have some short examples of where LLVM doesn't do as well as the equivalent scalar code? >> >> -bw >>

Hi Stéphane, The SSE support is the LLVM backend is fine. What is the code that's generated? Do you have some short examples of where LLVM doesn't do as well as the equivalent scalar code? -bw On May 28, 2010, at 12:13 PM, Stéphane Letz wrote: > Hi, > > We are experimenting directly generating vectorized LLVM IR (using <8 x float> kind of types), then compiling the code

Hi, We are experimenting directly generating vectorized LLVM IR (using <8 x float> kind of types), then compiling the code to SSE on a 64 bits machine. Right now the equivalent code in scalar mode sill outperform the SSE one. What is the quality of the SSE support in X86 LLVL backend? Are they any specific things to be aware of to improve the speed? Thanks Stéphane Letz

I currently have this code: for(j in 2:n){ for(i in 1:(j-1)){ # Make sure the inputs are for the matrix "m" input1=rownames(m)[i] input2=colnames(m)[j] q=t[(t$Rec1==input1 & t$Rec2==input2),output] if(length(q)==0){ q=t[(t$Rec1==input2 & t$Rec2==input1),output] } m[i,j]=mean(q) m[j,i]=mean(q) m[j,j]=mean(q) }} I already created a

Hello All, I'm trying to create a matrix from a dataframe (let's call it df): ......a......b.....c.....d a inputs output b inputs output c inputs output d inputs output e inputs output The inputs are represented by columns a and b The outputs are represented by columns c and d, but the only outputs are those from column d - some values from column d are

Hi all, I''m trying to understand why the following code doesnt work... ---------------------------------------------------------------------------------------- <html> <head> <title>blabla</title> <script type="text/javascript" src="prototype.js"></script> </head> <body> <form action="bllalba">

Hi everybody, I am trying to generate two random walks with an specific correlation, for example, two random walks of 200 time steps with a correlation 0.7. I built the random walks with: x<-cumsum(rnorm(200, mean=0,sd=1)) y<-cumsum(rnorm(200, mean=0,sd=1)) but I don't know how to fix the correlation between them. With white noise is easy to fix the correlation using the function

Hello everybody, Is there in R a so called box m-test for testing the equality of the variance/cov. matrix for checking on homoscedasticity? I could not find it among the traditional packages for multivariate statistics... Petra -- Petra Wallem Centro de Estudios Avanzados en Ecolog伱伃a & Biodiversidad (CASEB) Departamento de Ecolog伱伃a Facultad de Ciencias Biol伱伋gicas Pontificia