similar to: simple loop iteration

Dear mailing list, I have following array: X2 Y2 [1,] 422.7900 6.0 [2,] 469.8007 10.5 [3,] 483.9428 11.0 [4,] 532.4917 25.5 [5,] 596.1942 33.5 [6,] 630.8496 40.5 [7,] 733.2996 45.0 [8,] 946.4779 32.0 [9,] 996.8068 35.5 [10,] 1074.3310 23.0 I do afterwards the following: plot.new() plot.window(xlim=c(min(X1)-50,max(X1)+50),

Greetings, I am struggling a bit with a non-linear regression. The problem is described below with the known values r and D inidcated. I tried to alter the start values but get always following error message: Error in nlsModel(formula, mf, start, wts): singular gradient matrix at initial parameter estimates Calls: nls -> switch -> nlsModel I might be missing something with regard to the

Hi R-mailing list I would have the following set-up below with a simplified data-frame. Through a loop which includes certain criteria for the densities I would like to plot the different density-distributions in the same plot. Of course I hope I don't do any mistakes with all the indexes of the dataframe. All I would like to have is the different densities in the same plot with a general

Hi We have a Replica 2 + Arbiter Gluster setup with 3 nodes Server1, Server2 and Server3 where Server3 is the Arbiter node. There are several Gluster volumes ontop of that setup. They all look a bit like this: gluster volume info gv-tier1-vm-01 [...] Number of Bricks: 1 x (2 + 1) = 3 [...] Bricks: Brick1: Server1:/var/data/lv-vm-01 Brick2: Server2:/var/data/lv-vm-01 Brick3:

What's the logic behind the following, and where can I find any documentation about it? In particular, why are 2:9 - as characters - not regarded as being smaller than 10? # R-Code: a <- as.character(1:12) a < 10 # [1] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE Thanks in advance! Niklaus

Hi all, I ran into a problem in some of my code that could be traced back to 'mean' sometimes returning NA and sometimes NaN, depending on the value of na.rm: > mean(c()) [1] NA > mean(c(NA),na.rm=T) [1] NaN However, I don't understand the reasoning behind this and would appreciate and explanation. I understand that the mean of an empty vector is not definied, but I

Hi all, I am trying to produce some panels with dots in an X/Y plane where the diameter of the dots indicates a Z value (like e.g. earthquake maps where dot sizes indicate magnitudes and X/Y the location). This works fine with xyplot, e.g.: xyplot(1:3~1:3,cex=1:3,pch=16) However, when I do this with a panel variable, e.g.: x<-rep(1:3,5) y <- rep(1:3,5) sz <- rep(1:5,each=3) grp

Dear all, I am not sure if this mail is for R-help or should be sent to R-devel instead, and therefore post to both. While using nlrob from package 'robustbase', I ran into the following problem: For psi-functions that can become zero (e.g. psi.bisquare), weights in the internal call to nls can become zero. Example: d <- data.frame(x=1:5,y=c(2,3,5,10,9)) d.nlrob <-

Hi, well after some ever further investigation of some bugs, I ended up cleaning up the code, again. I also fixed some really heavy memory leaks in csvToList and made it in general more stable. Regards, Patrick "Marex" Niklaus -------------- next part -------------- A non-text attachment was scrubbed... Name: ini.c.patch Type: text/x-patch Size: 8275 bytes Desc: not available Url :

Dear all, I hope this is the right mailing list for my question -- I felt that this was too technical for R-help. I am trying to compile R-2.4.0 on a HP-UX system: ./configure MAKE=gmake --prefix=$HOME --without-x --without-tcltk --disable-R-profiling --without-readline --disable-multibyte R is now configured for ia64-hp-hpux11.23 Source directory: . Installation directory:

Hi all, Is there a way to modify the optional arguments (...) passed to a function, so that these can be passed in modified form to a subsequent function call? I checked "Programming with Data" but could not find a solution there. What I'd like is something along these lines: test <- function(x,y,...) { if(!hasArg(xlab)) { ___add xlab to ...___ } if(hasArg(xlab)) {

Hi, For a n-level factor, I'd like to specify the first contrast and have the remaining n-2 constructed automatically so that the set is orthogonal. I then test the contrasts with summary.lm(anova-object). In S-Plus, the following works: >y.anova <- aov( y ~ C(CO2,c(1,0,-1)) ) >summary.lm(y.anova) In R, it fails with the following error: >levels(CO2) [1]

Hi all, Is there a function to check if a particular value is contained in a vector? I've looked at grep in the hope that I could use a Perl-like syntax, but obviously it's different... I'd like to do something like: y <- c("a","b","c") if("a" in y) { # "a" is not in y } Also, is there a way to

Hi all, Given a number of points (x,y) in a plane, I'd like to plot a map of polygons, so that 1) each polygon contains exactly one point 2) the polygon defines the area for which this specific point is closer than any other point. It's a bit like a map of areas "influenced" by that point, and it's obviously a matter of intersecting the perpendicular bisectors

Hi all, I wonder how to correctly write the following expression (it's the axis label in a plot command): ylab=expression(y' == y - bar(y) ) Somehow the single quote in y' is causing the problems, I guess because it is interpreted as a quote... Does it have to be escaped? But how? Thanks for your help Pascal

Hi all, I repeatedly encounter the following problem: After importing a data set into a data frame, I wish to set a column with numeric values to be a factor, but can't figure out how to do this. Also, I do not wish to write as.factor(x) all the time. I can create a new vector with x <- factor(x), but the new vector resides outside the attached data frame. Pascal > attach(ngrad)

Hi all, I am playing around with latin squares, and wrote a recursive function that searches for valid combinations. Apart from the fact that there are very many, I run into troubles beginning with size 10x10 because the recursion depth becomes too large (max of 10x9-1=89 in this case). Why is this a problem? Isn't there enough space allocated to the stack? Can this be increased? The

Hi, I just noticed that the current image loader plugins such as PNG, SVG and JPEG don't provide a feature as they used to do. This is needed for conflict checking and feature testing (e.g. by the settings manager). If I remember correctly this plugins had features before the metadata port so I did a patch to add them again. What do you think about that? Regards, Patrick -------------- next

Hi all, Thanks for the incredibly quick help with the "%in%"... There's a second question, though: I'd like to increment an element of a vector if a certain event occurs, e.g. count[event] <- count[event] + 1; # works, but... Is this efficient? I wonder whether R needs to subset the count vector on both sides of the assignment operator (i.e., twice), or

Hi all, is there an easy way to build up a data frame by sequentially adding individual rows? The data frame consists of numeric and character columns. I thought of rbind, but I ended up with numeric values for the character columns. Pascal