similar to: counting columns that fulfill specific criteria

Hi all, I am stuck at ploting multiple graphs on one page. I don't why it doesn't work. All the 6 plots are either exactly the same, or they simply don't plot at all. I made sure that in each iteration the "datasub" and "factorsub" are different ... Could you please help me? Thanks a lot! I did my homework and followed the following advice:

This problem is likely to be specific to Windows, and particularly Win7. After a successful build of a package (R CMD build addendum), I immediately run an R CMD check for the same package. Not always, but _very_ often, I get the following error: C:\Users\nisabbe\Documents\@Doctoraat\R>R CMD check addendum Loading required package: tcltk Loading Tcl/Tk interface ... done Loading

Hello list. This is from an R session (admittedly, I''m still using R 2.11.1): > print function (x, ...) UseMethod("print") <environment: namespace:base> > showMethods("print") Function "print": <not a generic function> Don''t the two results contradict each other? Or do I have a terrible misunderstanding of what

Hello list. Another 'puzzle' for which I don't have a clean solution. Say I have a multidimensional object, e.g.: Mm<-matrix(1:6, nrow=2, dimnames=list(c("a","b"), c("g","h","i"))) And on the other hand I have a list Ind<-list("b","g") This holds, for each dimension, an indexer for that dimension. Now I would

Hi all. I am currently attempting to build a list of sparse matrixes. That I have already achieved, by > vmat <- list() > for (i in 1:n) { > vmat <- c(vmat, sparseMatrix(i,j,x=data) > } How I am trying to select those elements from the list where the column e.g. 999 is not null. I can do this for one of the sparse matrices with > which(vmat[[1]][,999] != 0) which

Dear list, I''ve had this a few times now, and wonder if this is possible: I''m using a package, often for plotting something, but I want to tune the way the plotting goes, in a way that was not foreseen by the maker of the package. Now, most of the time, these kinds of R functions (say pkg::plot.something) call into other R functions (say pkg::plot.something.internal), and

Hello all. I'm developing a package for R holding a Gibbs sampler, which tends to have better performance when written in C than in R. During each iteration in the Gibbs sampler, I need the inverse of a symmetric matrix. For this, I wish to use lapack, as is concisely suggested in "Writing R extensions", since this will have better performance than I could ever write myself. After

Hi there, Could someone help me with the following programming problem..? I have written a function that works for my intended purpose, but it is quite closely tied to a particular dataframe and the names of the variables in this dataframe. However, I'd like to use the same function for different dataframes and variables. My problem is that I'm not quite sure how to tell my function in

Hello list. I was trying to see some of the code for plot.glmnet in package glmnet (this function name is in the documentation). After loading the library, I tried the obvious typing in the name, but I received a message telling me it could not be found. So I fiddled around a little, and noticed that R does not recognize ''plot'' as a generic function, and as such,

Hi R people. I ran into this problem: I created a plot with errbars, like this: > errbar(x=c(1,2,3,4), y=c(2,1,3,3), yminus=c(1.5,0.5,2.5,2.5), yplus=c(2.5,1.5,3.5,3.5)) Next, I wanted to accentuate some x value with an abline, like this: > abline(v=2) In one of my R sessions (which admittedly I have had open for quite a while now), the abline draws outside of the plotting region

Hi All. I often find myself in this situation: . Based on some vector (or list) of values, I need to calculate a few new values for each of them, where some of the new values are numbers, but some are more of descriptive nature (so: character strings) . So I use e.g. sapply, passing a custom function that returns a list with all the calculated values . The result of

Folks, I have a 'matching' matrix between variables A, X, L, O: > a <- structure(c(1, 0.41, 0.58, 0.75, 0.41, 1, 0.6, 0.86, 0.58, 0.6, 1, 0.83, 0.75, 0.86, 0.83, 1), .Dim = c(4L, 4L), .Dimnames = list( c("A", "X", "L", "O"), c("A", "X", "L", "O"))) > a A X L O A 1.00 0.41

Dear Experts, I have a data object named "data.char". When I use cbind(data.char) in SPlus, I got the following results: > cbind(data.char) data.char data matrix, 2700 excluded list, 3 cluster.var character, 2 strata list, 3 xlog CT link logit gpcorr 1 missing.row numeric, 0 zero.row numeric, 22 infile perc.csv attr(,

Dear all, I've recently had some issues getting my package to successfully "check". This was on R-Forge, so it's not obvious for me to provide SessionInfo or the likes (if necessary, Stefan can chime in?). After some research (mainly by Stefan Theussler, driving force behind R-Forge), this turned out to be the root cause: On R-Forge, the version of R installed was the

While building/checking a package of mine that depends on glmnet, I got the following message: * checking whether the name space can be loaded with stated dependencies ...Warn ing: running command ''"C:/Users/nisabbe/Documents/R/R-2.13.1/bin/i386/Rterm.exe" R_DEFAULT_PACKAGES=NULL --vanilla --slave -f C:\Users\nisabbe\AppData\Local\Tem p\RtmpZpjj07\Rin121ae93''

Hi All,  I have been trying to use glmnet package to do LASSO linear regression. my x data is a matrix n_row by n_col and y is a vector of size n_row corresponding to the vector data. The number of n_col is much more larger than the number of n_row. I do the following: fits = glmnet(x, y, family="multinomial")I have been following this

we have several R900 servers with PERC 6/E card in it. Recently it we getting some message on /var/log/message say change to "write back" and change back to "write through". We figure out it is PERC 6/E card battery weak. My questions are: 1. some battery only use one year (some even shorter) and already this problem. 2. How come PERC 5/E does not have this issue? 3.

Hello there R-help, I'm not sure if this should be posted here - so apologies if this is the case. I've found a problem while using rle and am proposing a solution to the issue. Description: I ran into a niggle with rle today when working with vectors with NA values (using R 2.31.0 on Windows 7 x64). It transpires that a run of NA values is not encoded in the same way as a run of other

we have several DELL R900 with PERC 6/E adapter in it. R900 using Redhat Linux. Each R900 have two PERC 6/E adapter and at least two MD1000 connect to it. Configuration 1: PERC 6/E -- two MD1000 PERC 6/E -- empty Configuration 2: PERC 6/E -- MD1000 PERC 6/E -- MD1000 Normally first MD1000 for database and second MD1000 for nightly backup. My

Hello list. I feel like an idiot. There exists a method called expand.grid which, from the documentation, appears to do just what I want, but then it doesn''t, and I can''t get it to behave. Given a dataframe dfr<-data.frame(c1=c("a", "b", NA, "a", "a"), c2=c("d", NA, "d", "e", "e"),