similar to: strange classification behaviour

> as.character(seq(-.25,.95,.1)) [1] "-0.25" "-0.15" "-0.05" "0.05" "0.15" "0.25" "0.35" "0.45" "0.55" "0.65" "0.75" "0.85" "0.95" > as.character(seq(-.35,.95,.1)) [1] "-0.35" "-0.25"

I got your point. Thank you, and I'd like to provide the relative message now. But firstly, what do you mean by the "relevant command generated by your makefile"? What I can tell you now is: The Error Message: make[3]: Entering directory `/home/tang.kk/ppcg/ppcg/isl/interface' CXXLD extract_interface extract_interface.o:(.data.rel.ro._ZTI13MyASTConsumer[typeinfo for

Hi! My samba and i got problem below : windows client map samba share as P: and a file "kk" locate at P: 1. at windows P:>copy kk c:\ 2. at samba server #echo abc >> kk (let kk modified at server..) 3. at windows P:>dir kk (now we can see the file size and date are changed) 4. at windows P:>copy kk c:\ (copy new kk to

Hi Eli, thanks for the answers helping out. I tried to understand further - got another example: void test() { int *jj, *kk; int aa = 100; jj = &aa; *jj = 300; kk = jj; *kk = 400; } int main() { test(); return 0; } bc looks like the following (only test() part) define void @test() nounwind { entry: %aa = alloca i32 ; <i32*> [#uses=2] %kk =

I have a data set like this in one .txt file (cols separated by !): APE!KKU!684! APE!VAL!! APE!UASU!! APE!PLA!1! APE!E!10! APE!TPVA!17122009! APE!STAP!1! GG!KK!KK! APE!KKU!684! APE!VAL!! APE!UASU!! APE!PLA!1! APE!E!10! APE!TPVA!17122009! APE!STAP!1! GG!KK!KK! APE!KKU!684! APE!VAL!! APE!UASU!! APE!PLA!1! APE!E!10! APE!TPVA!17122009! APE!STAP!1! GG!KK!KK! it contains over 14 000 000 records. Now

Hi and thanks to all R developers and helpers, I wanrt to take the 1 and 3 dimensions of this object to create a new one without the years and with the next functions to do some specific calculations: > str(PMpa) num [1:499105, 1:60, 1:12] 29.8 55.8 29.7 25.1 25 ... - attr(*, "dimnames")=List of 3 ..$ punt: NULL ..$ any : chr [1:60] "1950" "1951"

Hi Everyone, as part of a larger script, I need to insert the result of a simple minus operation into an if statement. I have noticed that the precision that appear on the screen is not the precision in which R stores the result of the minus operation, and that this change alters the result of the if statement. For example, when running this simple script:   > a=0.90 > b=0.95 >

Hello all: I don't know what I'm doing bad, but --link-dest does not work for me: I have three directories, the original one, the first copy and the second copy I want to populate: $ ls -li total 12 1761433 drwxr-xr-x 2 envite envite 4096 dic 10 14:04 copy1 1761434 drwxr-xr-x 2 envite envite 4096 dic 11 01:18 copy2 1761432 drwxr-xr-x 2 envite envite 4096 dic 10 14:04 origin $ ls -li *

Dear folks? Is there a function to correctly find (and count) the NAs in a factor when exclude=NULL, regardless of whether their origin is in the original data or by subsequent assignment? In example number 1 below, where NAs are assigned by is.na()<-, testing the factor with is.na() finds the correct number of NAs. In example number 2, where the NAs are from the data, neither is.na(), ==NA,

I've redirected this reply from r-help to the bugs list. On 11/3/2006 8:25 AM, vito muggeo wrote: > Dear all, > I am dealing with the following (apparently simple problem): > For some reasons I am interested in passing variables from a dataframe > to a specific environment, and in fitting a standard glm: > > dati<-data.frame(y=rnorm(10),x1=runif(10),x2=runif(10)) >

Dear all, I am dealing with the following (apparently simple problem): For some reasons I am interested in passing variables from a dataframe to a specific environment, and in fitting a standard glm: dati<-data.frame(y=rnorm(10),x1=runif(10),x2=runif(10)) KK<-new.env() for(i in 1:ncol(dati)) assign(names(dati[i]),dati[[i]],envir=KK) #Now the following two lines work correctly:

Hi, I've spotted a possible memory leakage/violation in the latest R v2.1.1 patched and R v2.2.0dev on Windows XP Pro SP2 Eng. I first caught it deep down in a nested svd algorithm when subtracting a double 'c' from a integer vector 'a' where both had finite values but when assigning 'a <- a - c' would report NaNs whereas (a-c) alone would not. Different runs

Hello, how to merge a data.frame and a matrix by one column in the data.frame and rownames of the matrix? df <- data.frame(col1=c("kk","yy","kk"),col2=c(6,4,3)) > df   col1 col2 1   kk    6 2   yy    4 3   kk    3 m<-matrix(c(3,8,56,9), nrow=2, dimnames = list(c("aa","kk"),c("col1","col2"))) > m    col1 col2 aa   

Hi, When validating users on my Linux system against an ActiveDirectory, the Windows event log are filled with messages like these (Windows Event ID 675): Pre-authentication failed: User Name: linux$ User ID: KK\linux$ Service Name: krbtgt/KK.LOCAL Pre-Authentication Type: 0x0 Failure Code: 0x19 Client

This came up on r-help but indicates a bug. dnbinom(x,n,p) calls dbinom_raw(n-1,...) which returns 0 for n<1. -thomas ---------- Forwarded message ---------- Date: Thu, 08 Feb 2001 17:10:23 +0000 From: Yudi Pawitan <yudi@stat.ucc.ie> To: Mark Myatt <mark@myatt.demon.co.uk> Cc: R-Help <r-help@stat.math.ethz.ch> Subject: Re: [R] Goodness of fit to Poisson / NegBinomial

I've been trying with no success to model mixtures of Gamma distributions using the package flexmix (see examples below). Can anyone help me get it to model better? Thanks very much. -Ben ## ## Please help me get flexmix to correctly model mixtures of ## Gamma distributions. See examples below. ## library('flexmix') ## ## Plot a histogram of dat and the Gamma mixture model given

Hello, I am using read.table to read files directly from a public ftp site. I have a general list of files that may or may not exist in the ftp directory, but my hope was that R would read the file if it existed and ignored it if it didn't exist and move on to the next one. However, when R arrives at a file that does not exist I get the error message "Error in file(file, "rt") :

Hi there, I am trying to understand how AliasAnalysis works out in LLVM. I used the following simple test-case (test4.c): -- void test() { int *jj, *kk; int aa = 100; jj = &aa; *jj = 300; } int main() { test(); return 0; } -- Then I did "llvm-gcc -emit-llvm -c -o test4.bc test4.c" to get bc. I tried the following 2 ways to get what I expect to get as

Dear all, I am stuck at applying loop function for creating separated plots. I have coding like below: dataset.table <- table(data.frame(var1=c(1,2,3,1,2,3,1),colour=c("a","b","c","c","a","b","b") )) kk = function(f) { ls=as.character(f) pie(dataset.table[ls,],main=ls)

Hi, r-gurus: I happened to have a question in my work: I have a dataset, which has only one dimention, like 0.99037297527605 0.991179836732708 0.995635340631367 0.997186769599305 0.991632565640424 0.984047197106486 0.99225943762649 1.00555642128421 0.993725402926564 .... the data is saved in a file called f392.txt. I used the following codes to play around :)