similar to: Fuctions help!

Hi there, I have a the following function which takes a name(fname), total number of rows (Total), number of times to make a sample(nSample), number of records/rows to be included in each sample(nPatient). then it generates required samples and calculates the mean and standard deviation of the columns for each sample and finally in calculates the grand mean and standard deviation. The problem

Hi everyone, I have dataset which I make a sample of it couple of times and each time I get the mean and standard deviation of each row for each sample. I have a function for that, which takes the name of the file and number of times to sample and then returns the mean and standard deviation for each row in each sample. Sample=function(name, n){

Hi! Since upgrading to 2.1.6, setting namespaces via environment variables using a imap-postlogin-script *sometimes* doesn't work. Sometimes, the prefix of a namespace isn't set correctly, but is set to an empty string, which leads to the following error: namespace configuration error: Duplicate namespace prefix: "" However, the environment is set correctly, the error seems to

I have 11 possible predictor variables and use them to model quite a few target variables. In search for a consistent manner and possibly non-manual manner to identify the significant predictor vars out of the eleven I thought the option "select=T" might do. Example: (here only 4 pedictors) first is vanilla with "select=F" >

Hi Oracle Linux Server client with Samba 3.6.23 (file server) joined to the Samba4 AD domain. ---------------- smb.conf [global] #--authconfig--start-line-- netbios name = FS server string = "GSDAD Fileserver" workgroup = GSDAD realm = AD.GSD.LAN security = ads winbind use default domain = yes idmap config * : backend = rid idmap config * : range =

How do I disable /usr/libexec/gsd-backlight-helper on a user's WORKSTATION? This is clearly something that should NEVER, EVER be running if it's not a laptop.... mark

Running: R Version 2.3.1 (2006-06-01), debian stable I'm testing an application that uses rgl (installed with apt-get install r-cran-rgl) but fails, at least partly because that application uses a more current version. There is also a mysterious error msg from Xlib: > library(car) > library(rgl) > iris.mod <- lm(cbind(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width) ~

Hi! I am using Unix groups to control access to shared mailboxes. This works fine as long as files are not moved between mailboxes that are owned by different groups. The move operation doesn't change group ownership of the mail. Is there a way to force dovecot to e.g. inherit the ownership from the parent folder, not only for new messages bot also for messages moved from one folder to

On 18/05/15 11:57, Tomasz B?asiak wrote: > /Hi > / > /sometimes 'getent group <domain group> is OK, but///sometimes is wrong. > > // > //Then I restart windind and for 5-10 minut is OK and//the situation is repeated > > Sorry for my English > /// // > / > / > > > > > />>Know problem, does 'getent group <a domain

Hi R folks, How can I generate the discriment function from lda? I have an unbalanced data set. one class has about 25 entries and another class has about 200 entries. I used lda for classification > z<- lda(V3 ~ V1+V2, data) > z Prior probabilities of groups: 0 1 0.91111111 0.08888889 Group means: V1 V2 0 0.4445161 0.04723951 1 0.4058900

Hi everyone, > does any one knows how can I calculate mean for different samples > i.e. I have a data like this: > > s1 s2 s3 s4 > 1 0 0 0 1 > 2 1 0 1 0 > 3 0 0 0 0 > 4 0 0 0 0 > 5 0 1 0 1 > 6 1 0 0 0 > 7 0 0 0 0 > 8 0 0 0 0 > 9 0 0 0 0 > 10 0 0 0 1 > > I need to make 5 different sample with 5

Hi everyone, I have just started using R, and I have a simple question. How can I get the Standard deviation for rows. basically I am looking for something like "rowMeans()" but for Standard deviation (I tried "rowSds()" didn't exist) Thanks, -- View this message in context: http://www.nabble.com/Standard-deviation-for-rows-tp19998106p19998106.html Sent from the R

I just upgraded from Ubuntu 11.04 to 12.04 and am working to restore access to the windows shares I use at work. smbclient connects immediately: sudo smbclient //server/share -A /etc/.smb_creds.txt mount.cifs fails (with "mount error(13): Permission denied"): sudo mount.cifs //server/share /mnt/ -o credentials=/etc/.smb_creds.txt my credentials file is as

I was looking for a vulnerability scanner and found OpenVAS. Does anyone has experiences with that scanner? And with the Atomicorp repository? (the OpenVAS website refers to that repo) Thanks Patrick

Hi everyone, I have a dataset(named "Mydata") which includes 4 different variables named; s1,s2,s3,s4 .Each variable(symptom) has 14 patients. I need to use random sampling to make, 5 different samples from my data with 5 patients in each sample. i.e. using all 4 variables I need to make 5 different samples by changing patients(with 5 patients in each sample). X8 X9 X10 X102 X110

Hi guys, I need to insert a row to a matrix in a for loop. I have matrix named "Avg" which is a 5x4 matrix of zeros. I have a file named "A"(4 rows,14 columns) which I make a sample of it 5 times. each time I get the mean for each column and put the result in the "Avg" matrix. this is my code: Avg=matrix(0,5,4) > > for(i in 1:5){ + res=(A[sample(nrow(A),

Dear R developers and users: I have the following data, x is the response vaiable, nsample(individual) nested within trt, and subsample nested within nsample, I want to fit trt as fixed effect, and block, nsample(trt) as random effects using lme, is the following coding correct? dat$vgrp <- getGroups(dat, form = ~ 1|trt/nsample, level = 2) ge.lme1 <- lme(fixed=x~trt, data=dat,

Hello, I have many subsets of x. I want to get the standard deviation for each subset with the same factor levels. For "FUN=mean" and "FUN=median" I am using "ave()". Can anybody tell me the match of "ave()" for using "FUN=SD"? At the beginning I used aggregate(), also for mean and median. But aggregegate make ""arithmetical

Hi, Can anyone help to write a more elegant version of my code? I am sure this can be put into a loop but I am having trouble creating the objects b1,b2,b3,...,etc. b1 <- rigamma(50,1,1) theta1 <- rgamma(50,0.5,(1/b1)) sim1 <- rpois(50,theta1) b2 <- rigamma(50,1,1) theta2 <- rgamma(50,0.5,(1/b2)) sim2 <- rpois(50,theta2) b3 <- rigamma(50,1,1) theta3 <-

Hi everyone, I have dataset which I take random samples of it 5 times. each time I get the mean for rows for each sample. at the end I need to calculate the Average of all means for each sample and each row. to clear it up I give an example: say this is my dataset. X8 X9X10X12 X13 X14 X15 X16X17X18X19 X20 X21 X22 s1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 s2 0 0 0