similar to: Error in sample(colnames(B), 10) : invalid 'x' argument

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 a question about functions. I have two functions: Sampling=function(fname,Total,nSample,nPatient){......return(list(Gmean,Gsd))} Power=function(alfa,m1,m2,s1,s2,n1,n2){....return(powe)} I want to use "Gmean" and "Gsd" which are the returned values from "Sampling" function, in "Power" function. i.e. when I call "power" I want

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 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

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),

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 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 there, I am trying to have a connectivity graph (two plots at once) in R: this is an example: x1=sin((0:100)*2*pi/100) y1=cos((0:100)*2*pi/100) plot(x1,y1) will draw a circle and x2=c(1,9,3,4,8,4,2,0) y2=c(3,6,8,2,4,1,9,6) plot(x2,y2,type="b") will draw a graph with corresponding x's and y's and connects the point. I want to have a circle with these points connected to

Hi guys, I am truing to draw a circle and choose 10 points on the circle and put a number from 1 to 10 above each point. I don't have a problem with drawing a circle and choosing 10 points. my problem is with numbering . is it even possible to put a number above each chosen point? if so any idea how to do it? ps: the circle has red dots and the selected points are in black. here is my code:

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

Hi Guys, I am in desperate need with sampling. I am suppose to sample from a dataset. I use the following code: > for(i in 1:5){temp[i]<-sample(T2,40,replace=F) + show(temp)} but all the samples are the same, but I want them to be different.any suggestion? Thanks -- View this message in context: http://www.nabble.com/Sampling-tp19923768p19923768.html Sent from the R help mailing list

Given a matrix B, where B=A'A, how can I find A? In other words, if I have a matrix B which I know is another matrix A times its transpose, can I find matrix A? Thanks, Mike

Dear R users, is there a way to extract directly rows instead of column vectors using the function sample()? I have already tried to transpose and back-transpose my dataframe, but I couldn't manage to get rid off the levels in the resulting dataframe. Macintosh G4 (Mac OS9.1), R Version 1.3.0 Any help is welcome! Christof -- Christof Bigler Mountain Forest Ecology ETH-Zentrum HG G21.4

https://bugzilla.mindrot.org/show_bug.cgi?id=3631 Bug ID: 3631 Summary: ssh fe80 -b invalid argument failure Product: Portable OpenSSH Version: 8.9p1 Hardware: Other OS: Linux Status: NEW Severity: enhancement Priority: P5 Component: ssh Assignee: unassigned-bugs at

Hi I have a square matrix Ainv of size N-by-N where N ~ 1000 I have a rectangular matrix H of size N by n where n ~ 4. I have a vector d of length N. I need X = solve(t(H) %*% Ainv %*% H) %*% t(H) %*% Ainv %*% d and H %*% X. It is possible to rewrite X in the recommended crossprod way: X <- solve(quad.form(Ainv, H), crossprod(crossprod(Ainv, H), d)) where quad.form() is a little

I'm hitting an issue where legalizeOp is overflowing the stack. Are there any recommended ways of getting around this? The bitcode that causes this issue is attached. Thanks, Micah Villmow Systems Engineer Advanced Technology & Performance Advanced Micro Devices Inc. S1-609 One AMD Place Sunnyvale, CA. 94085 P: 408-749-3966 -------------- next part -------------- An

Hi R-Wizards: I've looking through the R docs and have yet to find what I'm looking for and have tried a few intermediate steps to now avail yet and rather than spend another few hours looking for the solution, I figured I would post a message. I have a matrix (actually a set of them) that I want to pull all the names of the non-zero columns into a vector/list for further processing:

Dear all, Given a LME model (following the notation of Pinheiro and Bates 2000) y_i = X_i*beta + Z_i*b_i + e_i, is it possible to extract the variance-covariance matrix for the estimated beta_i hat and b_i hat from the lme fitted object? The reason for needing this is because I want to have interval prediction on the predicted values (at level = 0:1). The "predict.lme" seems to

Hello,.. Apologies for the newbie question but... I have a matrix R, and I know that *B %*% t(b) = R* *I'm trying to solve for B *(aka. 'factoring the correlation matrix' I think) Please help! I've read that 'to solve for B we define the eigenvalues of R and then apply the techniques of Principal Component Analysis' This made me reach for princomp() but now I'm

Hi All, I am trying to replace the "NA" values in a matrix by using the following function: it gets a "name" of the matrix or list or vector and turns it to a matrix called "m". then checks the elements of the matrix and if any of them is "NA" replace them with "0". rep=function(name){ m=as.matrix(name) for(i in 1:length(m)){ for(j in