similar to: funny plotting

(2) If I have three curves on a plot how can I label each curve so the > label sits directly above the curve? [A]As to your second question: I don't think there will be a simple answer because on has to decide where "above" is. Could you please be more specific? Dietrich I have a picture of S+ output which has the label sitting on top of each curve and curving with it

Hi, I would like to plot a graph which sits in the background as a watermark with other plots in the foreground - on top. I have looked through the threads on the r-project website but they seem to concern background colours rather than actual background plots. I have also searched through the demo's and pars but can't find any eg's any ideas - I only want to plot a simple graph

HiI want to construct a logliikelood function in RHere is the situationy=number of particles emitted in 1 hr period~pois(30)p=probability of detection of radiation particlesx=number of particles detected by a radiation detector~pois(30p)where p~beta(a,1)I have to calculate the loglikehood for a for the range a(2,50)I wish to simulate 100 random samples for each aHere is my code:-m=481n=100x =

Hi there, I have 2 questions which I cannot find answers for in Dalgaard or the helpfiles currently available. (1) I wish to plot 3 ecdf plots on one graph. Is there any way of holding a figure to plot all on the same plot. I can't get an ecdf for any plot command other than "plot" or "ecdf.plot" so using lower level command is no good, have also tried x11(). (2) If

Hi, I have a whole bunch of data, which looks like: 15/03/2003 10:20 1 15/03/2003 10:21 0 15/03/2003 12:02 0 16/03/2003 06:10 0 16/03/2003 06:20 0.5 16/03/2003 06:30 0 16/03/2003 06:40 0 16/03/2003 06:50 0 18/03/2003 20:10 0.5 etc. (times given on a 24 hour clock) and goes on for years. I have some code:

Craig, Thanks for your follow-up note on using the asypow package. My problem was not only constructing the "constraints" vector but, for my particular situation (Poisson regression, two groups, sample sizes of (1081,3180), I get very different results using asypow package compared to my other (home grown) approaches. library(asypow) pois.mean<-c(0.0065,0.0003) info.pois <-

> hi all, > I am using optim. I am getting the following error message: > > Error in optim(par = start.vals[, h], fn = post.func.pois, gr = post.grad. > pois, : > L-BFGS-B needs finite values of fn > > If I look at optim typing '> optim' it seems that the error comes from > inside .Internal(optim), so I wonder how can I see the code for .Internal(

Hi, I need to create a text file in the following format, > 1 100.0 0 > 0 0 > 1 1 > 0 0 > 1 1 > # > 1 100.0 0 > 0 0 > 0 1 > 1 0 > 1 1 ... where # is part of the format and not a R comment. Each block (delimited by #) consists of a first line with three values, call it dose, and a list of (x,y) coordinates which are a matrix or data.frame, >

Hi, I noticed this problem on my home desktop running FC4 and again on my laptop running FC5. Both have previously compiled and passed make check-all on 2.3.1 svn revisions from 10 days ago or so. On both these machines, make check-all is consistently failing (4 out of 4 attempts on the FC 4 desktop and 3 out of 3 on the FC 5 laptop) in the p-r-random-tests tests. This is with both default

I am attempting to run a Poisson EWMA model using Patrick Brandt's source code. I get the following error when I run the code: Error in dimnames(x) <- dn : length of 'dimnames' [1] not equal to array extent Dimnames(x) looks like this: [[1]] NULL [[2]] [1] "mip" "div" "nom" "unity" "mood"

On Mon, Mar 14, 2016 at 02:09:13AM +0530, Richhiey Thomas wrote: > The way the paper has been written I guess is the main source of your > confusion. Let me provide a paper that explains this same concept in a way > that is easier to understand. I was confused by eq (3) that you mentioned > too. Here it is : > http://www.sau.ac.in/~vivek/softcomp/clustering%20PSO+K-means.pdf Ah,

Hi, I''m trying to use a kickstart file to install VMs on a Scientific Linux 5.2 (repackaged RHEL52) host, but the install process seems to ignore my kickstart file. The command I''m using is: virt-install -n sl4vm01 --ram=1024 --vcpus=1 --os-type=linux --os-variant=rhel4 --extra-args="ks=http://particle.phys.uvic.ca/~fransham/ks.cfg" --paravirt --nographics

On Sat, Mar 12, 2016 at 04:27:55PM +0530, Richhiey Thomas wrote: > Below I write a raw version of my proposal for Clustering of Search Results > based on our previous mails. Hi, Richhiey. Thanks for putting this together ahead of the formal start of applications, and sharing it with us -- and it's really not too long! Project proposals for something that will last the summer are

Dear All, Apologies if this is too simple for this list. Let us assume that you have an instrument measuring particle distributions. The output is a set of counts {n_i} corresponding to a set of average sizes {d_i}. The set of {d_i} ranges from d_i_min to d_i_max either linearly of logarithmically. There is no access to further detailed information about the distribution of the measured sizes, but

Hello guys, I would like to ask for help to understand what is going on in "func2". My plan is to generalize "func1", so that are expected same results in "func2" as in "func1". Executing "func1" returns... 0.25 with absolute error < 8.4e-05 But for "func2" I get... Error in dpois(1, 0.1, 23.3065168689948, 0.000429064542600244,

Looks like people send many names in the contest, so shall I do too. I propose "Lepton", loosely meaning light (featherweight) in Greek. It is used in particle physics to refer to very light particles (electrons, muons). For me it also has the connotations of fastness and restlessness (in the LLVM sense of post-compile optimization). See more at:

Dear All, I hope I am not asking a FAQ. I am dealing with a problem of graph theory [connected components in a non-directed graph] and I do not want to rediscover the wheel. I saw a large number of R packages dealing for instance with the k-means method or hierarchical clustering for spatially distributed data and I am basically facing a similar problem. I am given a set of data which are the

Dear list, I am using glm's to predict count data for a fish species inside and outside a marine reserve for three different methods of monitoring. I run glms and figured out the best model using step function for each methods used. I predicted two values for my fish counts inside and outside the reserve using means of each of the covariates (using predict() ) therefore I have only one value

Hello all, As a general programming question I can't seem to figure out how to make a list of lists in R. As matrices won't work as they have to be rectangular. I am sure that there is an easy solution but... the specific situation is this: - I have created a Tukey confidence interval table and have listed the means that are not significantly different - then using these not

Dear R-devel members, The question: Is it possible to initialize and later free a large data structure strictly within a shared C library, to be used by a function in the C library that I'll call from R--without ever having to pass data to and from R? This is analogous to C++ object initialization/use/destruction, but if possible I'd like to stay in C. The context: I'm implementing