similar to: weights in glm (PR#8720)

I guess this has a simple solution: I have matrix 'mat1' which has row and column names, e.g.: A B C row1 0 0 0 row2 0 0 0 .... rown 0 0 0 I have a another matrix 'mat2', essentially a subset of 'mat1' where the rownames are all in 'mat1' e.g.: B row3 5 row8 6 row54 7 I want to insert the values of matrix mat2 for column B (in reality it could be some or

Dear R-help team, I am getting addicted to using R but keep on getting many challenges on the way especially on data management (data cleaning). I have been wanting to drop all the rows if there values are `NA' or have specific values like 1 or 2 or 3. mdat <- matrix(1:21, nrow = 7, ncol=3, byrow=TRUE, dimnames = list(c("row1",

Ben, Thanks for the bug report. I am off two minds about it as discussed below. But as it does indeed create a crash / segfault, I am passing this on to the R bug tracker. A suggested two-line patch is below; I tested the patch against a 'vanilla' 2.6.1 source tree. On 6 December 2007 at 19:32, Ben Goodrich wrote: | -----BEGIN PGP SIGNED MESSAGE----- | Hash: SHA1 | | Package:

I would say this was user error (insisting on editing non-existent rownames), although the argument is documented. You could argue that there are implicit rownames, but they would be 1, 2 ... not row1, row2 .... And rownames(mat) is NULL. For an interactive function the best solution seems to be to throw an error when the user asks for the impossible. I'll fix it for 2.7.0: it

Hi, I found a bug in all versions of SSH. I'll give you an example when the bug occurs. When I connect to a remote computer using 'ssh user at host.somewhere.in.th.net.com /bin/bash' (or /bin/tcsh) I log into the remote computer and SSHD doesn't log this in wtmp,utmp,secure and lastlog. It's *only* visible in /var/log/messages. That's all I want to tell You. I hope

I have a 5-row matrix called “data”. There are headers. it look like this : Row 1 Row2 Row3 Row4 Row5 Line1 … … … … Line2 … … … … Line3 … … … … … Line 1838 … … … … I want to calculate several simple arithmetic means for Row5, that

Hi, I have a table with column name like col1, col2, col3, col4 ... col10. In rails, after I get the instance of the class, I would like to use a for loop to retrieve values from these columns and put them into a hash. The hash will be used for another find call. Is that possible? Thanks. Arnold -- Posted via http://www.ruby-forum.com/.

https://bugzilla.samba.org/show_bug.cgi?id=8720 Summary: rsync -n -e ssh creates ssh tunnel which fails to close after command completes Product: rsync Version: 2.6.8 Platform: x64 OS/Version: Other Status: NEW Severity: normal Priority: P5 Component: core AssignedTo: wayned at

R 2.15.1 OS X Colleagues, I am reading a 1 GB file into R using read.table. The file consists of 100 tables, each of which is headed by two lines of characters. The first of these lines is: TABLE NO. 1 The second is a list of column headers. For example: TABLE NO. 1 COL1 COL2 COL3 COL4 COL5 COL6 COL7 COL8 COL9 COL10

Dear all! After hours of trying around, I gave up: I have a 2-dimensional array, and I know how to split it into its rows and how to get the mean for every row using 'sapply'. But what I want is to calculate the mean over the first n rows, and then the second n rows, etc., so that I get a vector like: v == mean1(row 1:5), mean2(row6:10),... (trivial, you might say. I find it rather

Dear useRs, i want to split a matrix having 1116rows and 12 columns. i want to split that matrix into 36 small matrices each having 12 columns and 31 rows. The big matrix should be splitted row wise. which means that the first small matrix should copy values which are in first 31 rows and 12 columns of the big matrix. similarly 2nd small matrix should contain values from 32nd to 63rd row of the

Hi all, I have a matrix with 10000 rows and 10 columns. The last columns contains another identifiers but the values are not uniques so that I want to generate another matrix with rows with unique values in the last column. If I did tmp<-unique(my_mat$col10) this will give me 8560 unique entries so the ideal matrix will be 8560X10 columns now then. I tried sub_mat<-my_mat[tmp,] but

Dear R users, I??ve got a simple question but somehow I can??t find the solution: I have a data frame with columns 1-5 containing one set of integer values, and columns 6-10 containing another set of integer values. Columns 6-10 contain NA??s at some places. I now want to calculate (1) the number of values in each row of columns 6-10 that were NA??s (2) the sum of all values on columns 1-5

dear useRs, i have a list containing 16 matrices. i want to calculate the column mean of each of them. i tried >sr <- lapply(s,function(x) colMeans(x, na.rm=TRUE)) but i am getting the following error >Error in colMeans(x, na.rm = TRUE) : 'x' must be numeric can it be done in any other way? and why i am getting this error?? thanks in advance.. elisa [[alternative

Hi, is there a way I can calculate a summary statistics for a columns matrix let say we have this matrix x <- matrix(sample(1:8000),nrow=100) colnames(x)<- paste("Col",1:ncol(x),sep="") if I used summary summary(x) i get the output for each column but I need the output to be in matrix with rownames and all the columns beside it this how I want it

Hello everyone, I have a matrix with 8000 rows. If I want to select every 8 rows, (i.e. row1, row2, ..., row8), what should I do? Appriciate for any hints! Thanks a lot! Leo -- View this message in context: http://n4.nabble.com/select-n-rows-tp1693136p1693136.html Sent from the R help mailing list archive at Nabble.com.

Hi all, I'm making a PCA plot with eight variables (columns taken from a larger data frame "fieldTrial0809[idx,c(39:46)]"). I then want the symbols in the plot to be colored as a gradient from red to blue, depending on the value of another column in "fieldTrial0809[idx, c(48)]" containg temperatures from -12.1 to -5.4. I don't want to use the heat.colors(n)

Hi, In a function, I compute 10 (un-named) vectors of reasonable length (4471 in the particular example I have to hand) that I want to combine into a data frame object, that the function will return. This is very slow, so *I'm* doing something wrong if I want it to be quick and efficient, though I'm not sure what the best way to do this would be. I know it is the combining into data

Dear all I am trying nlme together with Pinheiro/Bates book. I constructed grouped data object with suitable plotting layout (according to some common factor, panels from bottom to top are in increasing order). When I do nlme(... some stuff...) I get fitted object which I can plot with plot(augPred(fit.nlme6, level=0:1)) but it results in completely different ordering. Is there any way

Hi there, I've been using the SMATR package to do standardized major axis (SMA) regression on allometric data, and I've been able to to pairwise comparisons of slope & elevation between multiple study sites. Now I'm trying to do the same thing using major axis (MA) regression, but I'm getting errors (SMATR should be able to do MA as well as SMA regression for everything,