similar to: problem with ROCR

Dear Sir/Madam, I could succesfully normalise my microarray data using marrayNorm package. However, i have not been able to get normalised red and green channel intensities through R package. Is there a possibility to write a formula to calculate back the red and green channel intensities after normalisation of the data. Do I need to incorporate this formula in my R script? I am biologist

Dear all, I'm working on a data.frame named en.data, which has n cases and m columns. I generate the correlation matrix of en.data by > cor(en.data) I find that there is no p-value on each correlation in the correlation matrix. I searched in the R-help mail list and found some related posts, but I didn't find direct way to solve the problem. Someone said to use cor.test() or

Hi, What package would you recommend for analyzing the validity/reliability of multiple choice tests. Doing things such as classical test analysis, factor analysis, item response theory. I've used psychometric (item.exam), MiscPsycho (alpha.Summary), and ltm (rcor.test). MiscPsycho reported the numbers most similar to what I get in SPSS: corrected point biserial correlations,

Hello! I am currently working on a big data set. There are different subjects that have been measured in about 40 different variables (in this case a measure of brain metabolism). Now I want to look at possbile significant correlations between those variables. As some of the variables are not normally distributed I used "spearman" as method in the function rcor.test from the

i made jDialog through JGR package(Java gui 4 R), i want to export it with imported external package e.g.bio3d,RCOR , into .exe or if not possible convert code to executable jar file how should i go, give me package name,example codes (if possible) -- View this message in context: http://r.789695.n4.nabble.com/how-to-made-exe-of-any-gui-project-in-R-tp4375938p4375938.html Sent from the R

Hi again, I've got few very good options from the list and since they were not posted to the list, I will provide a summary. Thank you very much to all who answered and I hope this summary will benefit others interested in solving similar problems like that. Yasir Kaheil re-wrote my original code in a more streamlined way: pr<-array(0,c(dim(x)[2],dim(x)[2])); for (i in 1:dim(x)[2]) for

Hi everybody, I would like to apply cor.test to a matrix with m rows and n columns and get the results in a list of matrices , one matrix for p.val, one for the statistic, one for the correlation and 2 for upper and lower confidence intervals, something analog with cor() applied to a matrix. I have done my own function to get a matrix of p.values and i suppose i can build similar functions for