similar to: unable to interactively label curves on a plot

Hello all I've just spent a few joyless hours trying to get EBImage to install in R. I'm running Ubuntu (Hardy Heron), fully updated (including R and Imagemagick). EBImage installation seems to work, but when I 'library(EBImage)' I get the following: - - - - Error in dyn.load(file, DLLpath = DLLpath, ...) : unable to load shared library '/home/qilin/R/i486-pc-linux-

Hello Limma users A quick question, I hope: I have dual-channel spotted expression arrays in a simple loop design (no dye swaps), viz: 1 vs reference 2 vs 1 3 vs 2 reference vs 3 There are 4 replicate spots for each probe on each array. It seems as if getting meaningful spot summary results using duplicateCorrelation() is not possible in my case as the spots are not regularly spaced, and I

# I need to generate some data. I'm modeling some time series that follow a # negative exponential decay (mostly). I have 20 samples that can easily be fit with cubic splines. # What I want to do is generate many thousands of similar samples using the parameters from the splines # For instance one data sample looks not unlike this: foo.curve <- 1 * exp(-0.01 * 1:500) + 0.5

Your understanding isn't similar to mine. Mine says robust/resistant methods are for data with heavy tails, not heteroscedasticity. The common ways to approach heteroscedasticity are transformation and weighting. The first is easy and usually quite effective for dose-response data. The second is not much harder. Both can be done in R with nls(). Andy From: Quin Wills > > I am

Hi I'm running the latest R on a presumably up to date Linux server. 'Doing something silly I'm sure, but can't see why my saved PLMset objects come out all wrong. To use an example: Setting up an example PLMset (I have the same problem no matter what example I use) > library(affyPLM) > data(Dilution) # affybatch object > Dilution = updateObject(Dilution)

Hi I could only find some discussion on this wrt lattice graphics (which I'm not using). Apologies if I'm missing something obvious. I'd like to produce 3 rug plots under a kernel density plot for a population. The population is subdivided into 3 subpopulations, which I'd like the rug plots to highlight. Naturally, when I do 3 rug plots, they all plot over each other.

Hi, I have the following vector which is created from 3 distinct distribution (three components) of gamma: x=c(rgamma(30,shape=.2,scale=14),rgamma(30,shape=12,scale=10),rgamma(30,shape=5,scale=6)) I want to plot the density curve of X, in a way that it shows a distinct 3 curves that represent each component. How can I do that? I tried this but doesn't work: lines(density(x)) Please

Hello, does anybody know which command to consider when I'm trying to plot a stacked barplot with a legend at the most empty portion of the graphic? I've searched for it, and somebody stated to use the labcurve-command, but I don't know how to produce stacked barplots with it. Is there any possibility to plot a legend box "dynamically" (= in an empty region) with the

R-Masters, I need to produce high resolution line plots and place labels on the curves. It seems that cex must be high relative to the other cex values in order to produce sufficiently large & legible tick labels at high resolutions. But high cex values cause the curve labels to become gigantic when using Hmisc. I've struggled and searched the archives, but cannot find a way of

Estimado Eric En Hmisc la función labcurve puede ser útil, en todos casos crear una curva con valores constantes, habría que intentar, pero labcurve en algunos ejemplos en mi computadora no anda. Ayer envié dos correos, el primero era de latticeextra, usted nombra lattice, pero podría funcionar, en latticeextra: ## horizontal and vertical lines xyplot(ysim ~ xsim) + layer(panel.ablineq(v

Hello all (1) My departmental IT guru has installed the latest Wine (0.9.48) on a well maintained Fedora 7 server, so that I can run WinBUGS from R via R2WinBUGS (this seems like the only real option for running BUGS from R on a Linux platform?) (2) WinBUGS seems to run okay, except for the following output errors: === === === fixme:keyboard:RegisterHotKey (0x10024,13,0x00000002,3): stub

I'm presumably missing something very obvious, but how does one use the key.opts argument in labcurve (via Ecdf)? In this example, I want the key to be big and have a blue background, but it isn't and doesn't. ch <- rnorm(1000, 200, 40) sex <- factor(sample(c('female','male'), 1000, TRUE)) Ecdf(~ch, group=sex, label.curves=list(keys=c("f",

The question is general for all functions, but here is a specific example - # For the logistic regression of the following correlated variables: C <- c(457, 1371, 4113, 12339, 37017, 111051, 333153, 999459) E <- c(0.003858377, 0.014334578, 0.014092836, 0.737950754, 0.996371828, 0.997482379, 1.005569257, 0.994382856) # The nls function: A = nls(E~(Em*C^p)/(C50^p + C^p),

Hi! I'm trying to run "llc" tool on files from "test" subdirectory of LLVM root. I compile source files with the following line: llvm-gcc -c -ocompiled.o ackermann.c Then I run llc like the following: llc compiled.o which outputs llc: bytecode didn't read correctly (I mean, I try it with different options but even the default ones aint working) My llvm-gcc

Hi! I'm installing LLVM under Debian Linux. I've installed llvm-gcc3 binaries and am trying to build LLVM. I run make command from llvmobjdir and it builds Release configuration. I didn't set ENABLE_OPTIMIZED variable to 1 and I didn't configure LLVM with --enable-optimized switch. What can cause building Release configuration and how can I switch to Debug one? Thanks. Tony.

Hi. Day three and I’m still struggling with this. Any advice to overcome the final hurdle will be enormously appreciated. I now have all the right Java applications etc. in their right places and have managed to get rid of most errors but still get this: — Making package SJava — Building JNI header files... adding build stamp to DESCRIPTION running src/Makefile.win (cd .. ;

I am using "nls" to fit dose-response curves but am not sure how to approach more robust regression in R to get around the problem of the my error showing increased variance with increasing dose. My understanding is that "rlm" or "lqs" would not be a good idea here. 'Fairly new to regression work, so apologies if I'm missing something obvious.

So what addIntervalsToSpills returns are new intervals to allocate with infinite weights, right? And I need not to allocate the old interval. Should hasStackSlot return true on its register then? On 8/21/06, Fernando Magno Quintao Pereira <fernando at cs.ucla.edu> wrote: > > > Well, someone correct me if am wrong, but, you still have to allocate > physical registers to them,

Is there a simpler way then the solution to the one that was posted here? I'm not very proficient with legend, and I don't understand this solution. All I have is two or more lines on one plot that I want to put a legend on and I can't figure out how to do it from the examples. Can you give a very simple example? It does not have to be fancy!! I have never worked with a

samba@samba.org Giulio Orsero <giulioo@pobox.com> Mike Quin <m.r.quin@stir.ac.uk> Matthew Halliday <matthewh@fesa.co.uk> Carsten =3D?iso-8859-1?Q?Nordstr=3DF8m?=3D Jensen <north@get2net.= "Carlos Vinueza M." <carlos@ecuadorexplorer.com> Eric Dahnke <edahnke@istreetlabs.com> Giulio Orsero <giulioo@pobox.com> Giulio Orsero