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On Mon, 2007-05-14 at 23:41 +0200, vax9000 at gmail.com wrote: > Full_Name: vax, 9000 > Version: 2.4.0, 2.2.1 > OS: 2.4.0: Mac OS X; 2.2.1: Linux > Submission from: (NULL) (192.35.79.70) > > > To reproduce this bug, first go to the website "http://llmpp.nih.gov/DLBCL/" and > download the 14.8M data set "Web Figure 1 Data file". The direct link is >

Hi, Color of my step plot is now by default. Now I'd like to change the color as the grey scale I specified. I don't know why I got three black plot. Here I attach two version of codes. The first one produces a step plot with color by default. The second one, modified from the first one, is not producing the grey scale I want. Any help would be highly appreciated. [version 1- working]

Hello, r-help at r-project.orgbarplot(twcons.area, beside=T, col=c("green4", "blue", "red3", "gray"), xlab="estate", ylab="number of persons", ylim=c(0, 110), legend.text=c("treated", "mix", "untreated", "NA")) produces a barplot very fine. In addition, I'd like to get the

Hi all; I'm trying to display a 2 panel plot for the Puromycin data from R with 2 different non-linear models fitted to each group. The problem is that as far as I know panel.number doesn't work in the latest version of R. Can anyone give a hint how to solve this? Here is the code that I used before and now doesn't work xyplot(rate ~conc| state,Puromycin,

Hi, I have taken one microarray experiment and trying to implement same statistical measures what they have done.I have taken datasets from GEO platform with accession number GSE1557. In the experiment,about half of double transgenic rats (dTGR) over-expressing the human renin and angiotensinogen genes die by age 7 weeks of terminal heart failure (THF); the other (preterminal) half develops

Hi , I am struggling with these two question . Any help would be appreciated ,Im looking at doing them on r ? 1. Tests for indications of asbestos in the lungs of employees at an insulation manufacturer resulted in four persons with positive indications of asbestos being sent to a medical center for further testing . if 45% of the employees have positive indications of asbestos in their lungs ,

Dear all, I'm trying reproduce an example of bioassays Yielding Concentration-Mortality Data particularly control - adjustment model from book Bioassay of Entomopathogenic Microbes and Nematodes chapter 7 with R. I used glm with family=binomial and link=probit, but I do not know how to implement parameter gamma (control mortality - mortality of the untreated control insect in this exaple)

Hello, I am struggling to figure out how to analyse a dataset I have inherited (please note this was conducted some time ago, so the data is as it is, and I know it isn't perfect!). A brief description of the experiment follows: Pots of grass were grown in 1l pots of standad potting medium for 1 month with a regular light and watering regime. At this point they were randomly given 1l of one

Dear R users, Are you worried about the parallel trends assumption in your panel regression? Use fixed effects individual slope models, controlling for heterogeneous trends! I am very pleased to announce that the package feisr is now available on CRAN! CRAN: https://cran.r-project.org/package=feisr GitHub: https://github.com/ruettenauer/feisr The packages feisr provides a function to estimate

Dear R users, Are you worried about the parallel trends assumption in your panel regression? Use fixed effects individual slope models, controlling for heterogeneous trends! I am very pleased to announce that the package feisr is now available on CRAN! CRAN: https://cran.r-project.org/package=feisr GitHub: https://github.com/ruettenauer/feisr The packages feisr provides a function to estimate

hi,everybody I have a *time course* data set about a CML cell line treated by two drugs and their combination.The experiment was performed on cDNA microarray platform.The green channel of all the arrays are common,the untreated cell.Here follows the experiment design: a_0hr,a_3hr,a_8hr,a_12hr,a_24hr,a_48hr,a_72hr, b_3hr,b_8hr,b_12hr,b_24hr,b_48hr,b_72hr,

Dear all, I want to see if the treatment of an animal with a specific compound has an effect on the expression of certain genes. Though my question is based in biology, it really is all about how to deal with the standard deviation in normalised data. I have three groups of animals; untreated, treated with placebo, and treated with a single concentration of the compound in question. Gene

Following an example on p 111 in 'Nonlinear Regression with R' by Ritz & Streibig, I have been fitting nls models using square brackets with the grouping variable inside. In their book is this example, in which 'state' is a factor indicating whether a treatment has been used or not: > Puromycin.m1 <- nls(rate ~ Vm[state] * + conc/(K[state] + conc), data = Puromycin,

Dan Gohman wrote: > On Sep 11, 2009, at 9:57 AM, Chris Lattner wrote: > > >> Devang's work on debug info prompted this, thoughts welcome: >> http://nondot.org/sabre/LLVMNotes/ExtensibleMetadata.txt > > The document mentions "instructions" a lot. We'll want to be able to > apply metadata to ConstantExprs as well at least, if not also Arguments >