similar to: hi, i have a problem in R

Dear all, Hi, I have the problems about converting the matrix to adjacency matrix.Here's my example, a b c d e fa 1.0000000 0.4048823682 0.1228531 0.49046991 0.4945158868 0.307443317b 0.4048824 1.0000000000 0.4367475 0.96949219 0.0007378596 0.560747765c 0.1228531 0.4367474719 1.0000000 0.40037341 0.3157538204

Hello, I have a data frame >str(dat)'data.frame': 20000 obs. of 30 variables it contains two information-two types of cancers:stage A(A1 to A10) and stage B(B1 to B20) ##totally 30 patients-20000 sets of gene expression I'd like to find the lists for top 20 differentially expressed genes using t-test (by P-value). Here is my code, unfortunately it doesn't work...I need the

Hi, I'm trying to build R packages. My package name is TEST. (/Users/apple/Documents/R/TEST)I type something in Terminal.But it showed an error... applede-macbook-pro:~ apple$ R CMD BUILD TESTError: cannot change to directory 'anRpackage1' I don't know where is wrong...Hope that you could help me!! Thank you!! Best Regards,Gina

Hello, I'd like to normalize a data frame which are "45000 obs. of 212 variables".I want to normalize the data frame by each row. But I failed.Here is my R code, can you tell me where am I wrong? > bb<-function(normalize) (dat[i,]-min(dat[i,]))/(max(dat[i,])-min(dat[i,]))> dat1<-apply(dat,1,bb) Thanks!! vie

Dear all, Please, I have a doubt regarding symbol plotting with data originating from a table. Please, see below: I have a tab delimited file called table1.txt with 4 columns: ypos animal var1 var2 5 cat gina <= lady gina \u2264 lady 7 dog bill >= tony bill \u2265 tony 9 fish dude <= bro dude \u2264 bro #I then load in the data to R: table1<-read.table("table1.txt",

I have recently started a new job at an NHS hospital in Scotland. Since I took up this post 6 months ago I have had an ongoing dispute with the IT secutiry dept. who refuse to install R on my computer. I previously worked in another branch of the NHS where R was widely used and yet there is nothing I can say which will persuade the IT dept here to even visit the website! With some help from our

without having to check the vector element by element? Thanks a lot! Jason ===== Jason G. Liao, Ph.D. Division of Biometrics University of Medicine and Dentistry of New Jersey 335 George Street, Suite 2200 New Brunswick, NJ 08903-2688 phone (732) 235-8611, fax (732) 235-9777 http://www.geocities.com/jg_liao

Hi! I wonder if anyone has experiences of calling other programs from R (i.e., not C or Fortran programs). Specifically I want to call LEM from R and execute it in a loop to process its output in R. Thanks, Tim Liao

From: Liao Pingfang <liao.pingfang at zte.com.cn> Fix the comment of virtio_pci_find_capability() by adding missing comment for the last parameter: bars. Fixes: 59a5b0f7bf74 ("virtio-pci: alloc only resources actually used.") Signed-off-by: Liao Pingfang <liao.pingfang at zte.com.cn> Signed-off-by: Yi Wang <wang.yi59 at zte.com.cn> ---

Hi, Can someone set me straight as to how to write formulas in R to indicate: complete independence [A][B][C] joint independence [AB][C] conditional independence [AC][BC] nway interaction [AB][AC][BC] ? For example, if I have 4 factors: hair colour, eye colour, age, sex does > mosaicplot( frequency ~ hair + eye + age + sex) mean that the model fitted is of complete independence of

w.age.female.2004 <- nls(WEIGHT ~ (alpha*TOTAL^beta)/454, start=list(alpha=1, beta=3), data=spottedseatrout2004.female.data) I am trying to fit above model to length-weight data of a fish species (spotted seatrout) by year (1999-2006). The convergence occurred for all the years except 2002 and 2004. In these two year, R shows the error called

I have been using a laptop computer of Pentium III 1.13 Ghz. I heard that AMD's Athlon has excellent floating point capacity. So I bought a Athlon 2200+ laptop yesterday. I expected that new Athlon 2200+ will be twice as fast as the P III 1.13 GB. I ran a R simulation program and the new computer is only 30% faster, in fact slightly slower than a Celeron 1.50 GB laptop. I am very disappointed

SUBJECT: SAMBA digest 1700 ERROR: Text size exceeds maximum

I am excited to learn that Prof. Tierney is bringing to us compiled R. I would like to learn when it will be available. This information will be useful in scheduling some of my projects. Thanks. Jason Jason Liao, http://www.geocities.com/jg_liao Dept. of Biostatistics, http://www2.umdnj.edu/bmtrxweb University of Medicine and Dentistry of New Jersey 683 Hoes Lane West, Piscataway‚ NJ 08854

I have created this data frame to help illustrate my problem. id<-c(rep(1,5),rep(2,5),rep(3,5),rep(4,5),rep(5,5)) x<-rep((seq(1:5)),5) y<-c(0, 0.1, 0.5, 0.4, 0.2, 0, 0.1, 0.5, 0.4, 0.12, 0, 0.1, 0.5, 0.55, 0.2, 0, 0.1, 0.5, 0.3, 0.2, 0, 0.1, 0.6, 0.4, 0.1) d1<-cbind(id,x,y) I would like to delete all rows where id=4, however, when I tried the command  d2=d1[-c(id==4),] and looked

Hi, So I finally have time to test the u2f support but so far I haven't been very successful, Specifically, current HEAD has SSH_SK_VERSION_MAJOR 0x00040000 and I can't seem to find a matching libfido2 version, current HEAD of Yubico/libfido2 is 0x00020000 Is there a more up to date libfido2 or a particular commit of openssh-portable I should be using? thanks Sean

Hi, I am doing a small experiment to test if I can use MathJax ( official site: http://www.mathjax.org ) in R's html help pages (i.e. options(help_type='html')) and it seems working with some minor modifications. The screenshot (rendered by Firefox 4.0 beta and with STIX fonts) of the help page in html format with MathJax enabled is at the following url:

Hola a todos, ¿conocéis algún manual de knitr, además de los que aparecen en la página oficial (http://yihui.name/knitr/)? Es que en ciertas ocasiones, me gustaría conocer más sobre knitr y la página web se queda corta. También existe un libro sobre knitr (aparece en la página web), ¿alguien lo tiene y me podría decir si es recomendable su compra? Un saludo y muchas gracias. -- Víctor Nalda

I have a program which needs to compute squared Euclidean distance between two vectors million of times, which the Rprof shows is the bottleneck. I wondered if there is any faster way than my own simple function distance2 = function(x1, x2) { temp = x1-x2 sum(temp*temp) } I have searched the R-help archives and can not find anything except when the arguments are matrices. Thanks for any

It runs more than twice as slowly using 8 core than using a single core in inverting large matrix. Tested on 8 core Windows XP 64 machine. > n = 1000 > n.simu = 100 > func1 = function() + { + x = rnorm(n*n) + dim(x)=c(n,n) + y = solve(x) + } > > setMKLthreads(1) > system.time(for(i in 1:n.simu) func1()) user system elapsed 69.48 2.42 71.91