search for: embryo

Hi, I have the following data: > Myvalues Gene ES MEF Embryo ESHyp 1 GeneA -0.38509507 0.00 1.6250 1.7039921 2 GeneB 0.06262914 0.00 1.6250 -0.272033 and so on... I want to plot the expression values of GeneA and GeneB in the different cell/embryo/conditions (columns 2:5 above). Now, if I do: >library(ggplot2) > qplot(x=Gene, Embryo,...

Greetings, I have a question that I'd like to get input on. I have a classic toxicology study where I artificially fertilized and exposed embryos to a chemical and counted defects. In addition, I kept track of male-female pairs that I used to artificially fertilize and generate embryos with. I need to use logistic regression to model the response, but also check that the genetics of the pairings did or did not have an effect on the response...

Greetings ~ I need some assistance determining an appropriate approach to analyzing multivariate binary response data, and how to do it in R. The setting: Data from an assay, wherein 6-hours-post-fertilization zebrafish embryos (n=20, say) are exposed in a vial to a chemical (replicated 3 times, say), and 5 days later observed for the presence/absence (1/0) of defects in several organ systems (yolk sac, jaw, snout, body axis, pericardial edema, etc.) for each fish. The assay can be used as a screen (in which case a singl...

I''m seeing these in my logs on my puppetmaster: puppetmasterd[4111]: Could not store configs: SQLite3::SQLException: SQL logic error or missing database: DELETE FROM fact_values WHERE "id" = 8 currently this is 0.24.0 relect from some previously collected resource that wasn''t cleaned up? upgrade issue? nothing to worry about? that''s the only

...that I could type: aggregate(y~f1*f2) I have a provisory version (see below), but it does not work very well. I would be grateful for any suggestions. In particular, I would love to have a 'subset' parameter, as in the lm function) Here is the small piece of code fot the embryo of aggregate.formula: my.aggregate.formula = function(formula,FUN=mean) { { d=model.frame(formula) factor.names=lapply(names(d)[sapply(d,is.factor)],as.name) factor.list=lapply(factor.names,eval) names(factor.list)=factor.names aggregate(d[1],factor.list,FUN) } Christophe P...

I''m running into a very odd occurrence. I started with a new puppet server and was able to add a few classes, however as I try and add new ones I get odd parsing error messages, the most common being Could not match ''}'' at whatever file. Here is the exact error I get err: Could not retrieve catalog: Could not parse for environment production: Could not match

I am trying to get Puppet to push out a Solaris sudo package that I built, but I keep getting errors. I tested applying the package manually outside of Puppet and it works perfectly, but when I attempt to push it out via Puppet it fails. Puppetmaster Version: 0.23.2 [Ubuntu Linux 7.10 - Puppet built from source] Puppet client version: 0.23.0 [Sun Solaris 10 Zone - Puppet built from source] The

Hi R-listers, I have developed 47 GLM models with different combinations of interactions from 1 variable to 5 variables. I have manually made each model separately and put them into individual tables (organized by the number of variables) showing the AIC score. I want to compare all of these models. 1) What is the best way to compare various models with unique combinations and different number

I am trying to create a frequency distribution and I am a bit confused. Here are the commands I have entered: > data <- read.csv(file="40609_sortedfinal.csv",head=TRUE,sep=",") > NumberOfActionsByStatus = data$STATUS > NumberOfActionsByUser = data$ETS_LOGIN > NumberOfBidOffer = data$BID_OFFER > NumberOfActionsByUser.freq = table(NumberOfActionsByUser) >