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Dear all, Is there anyway too generate MA plot for 2 qPCR assays (an array of 2x 400). -- View this message in context: http://r.789695.n4.nabble.com/Bioconductor-MA-plot-for-qPCR-array-tp4182805p4182805.html Sent from the R help mailing list archive at Nabble.com.

Hi every one, How is it possible to create a matrix with 3 dimensions from several 2 dimensional matrice? Is it possible that each of "elementary/building block" matrices could be called by its corresponding original name? Thanks alot. -- View this message in context:

Hi! How can I fit a loess curve to an array (384 x 2). How can I obtain the equation for thi fi? Thanks in advance. -- View this message in context: http://r.789695.n4.nabble.com/How-to-it-a-loess-curve-and-obtain-the-equation-in-R-tp3927622p3927622.html Sent from the R help mailing list archive at Nabble.com.

Hi everyone. Newbie to statistics. I have 40 matrices of ~400 values. how may I determine whether the distribution follows zips law? response <-sample (1:20,400*4, replace= TRUE) Thank you vry much. -- View this message in context: http://r.789695.n4.nabble.com/A-introductory-question-about-Zips-law-Newbie-to-statistics-tp4521190p4521190.html Sent from the R help mailing list archive at

Hi all, I want to do this: B.list$aa= (a loop containing My.fun acting on the reults of second function on a A.list$aa)) or, overally B.list$aa = function (A.list$aa) B.list and A.list has many sublists aa, ab and.... Is there a way I can apply the function and loop on all sublists of A.list and get B.list? Thanks in advance. -- View this message in context:

I have data that looks like this: > df1 group id 1 red A 2 red B 3 red C 4 blue D 5 blue E 6 blue F I want a list of the groups containing vectors with the ids. I am avoiding subset(), as it is only recommended for interactive use. Here's what I have so far: df1 <- data.frame(group=c("red", "red", "red", "blue",

Hi! Is There a way to manually create an affybatch object from qPCR array data? -- View this message in context: http://r.789695.n4.nabble.com/Creating-affybatch-objects-from-matrix-data-from-qPCR-array-tp3921559p3921559.html Sent from the R help mailing list archive at Nabble.com.

Newbie here. Many apologies in advance for using the incorrect lingo. I'm new to statistics and VERY new to R. I have a "nx2" matrix , I want to sort the values based on the average of 2 columns and put k lowest (or highest) values in bin1, second k high/low values in bin2, and so on (bins would be of the same dimensions). I should also know what the first index (or position) of

Hi there, How may I smooth spline two vectors with the smoothing parameter selected by generalized maximum likelihood (GML) .? Thanks a lot. -- View this message in context: http://r.789695.n4.nabble.com/Smoothing-spline-with-smoothing-parameters-selected-by-generalized-maximum-likelihood-tp4210679p4210679.html Sent from the R help mailing list archive at Nabble.com.

Hi everyone, I use this code to add the fitted line to a plot, however, I think I cannot access the fitted equation. How my I find the equation in the object ksi? thanks alot. library (gss) ####generate (simple linear) x and y x= 2* (1:40) y= x-1 plot (x,y) ## fit and draw ksi = ssanova0 (x~y, method= "m") lines( ksi$qwk, col = "red") -- View this message in context:

Dear all, I am new to R, and I am a biotechnologist, I want to fit a smoothing spline with smoothing parameter selected by generalized maximum likelihood. I was wondering what function implement this, and, if possible how I can find the fitted results for a certain point (or predict from the fitted spline if this is the correct language) -- View this message in context:

Hi all, I have a matrix (n*2), I want to compare 2 operators (2 normalization for array results) on these matrix. The 2 columns should ideally become the same after operations (normalization). So to compare operations, I do this for each normalization: s= sum (apply (normalized.matrix, 2,sd)) c= cor (normalized[,1],normalized [,2], method='pearson') I expect that if normalization 1

Hi all, I wondered how I can get the translated, rotated and scaledmatrix in a procrustes analysis. This does not help: ############################## library (vegan) #defining the target matrix: a= cbind (c (1,2,3,4), c( 10,12,14,16)) #defining the matrix to be rotated: b= a; b[,2]= c(9,11,15,16) c=procrustes (a,b); g=fitted (c) # trying to get to the procrustes matrices: d= t

Dear all, Newbie: What is the fastest way to combine all columns of a matrix to one column? -- View this message in context: http://r.789695.n4.nabble.com/What-is-the-fastest-way-to-combine-all-columns-of-a-matrix-to-one-column-tp4423882p4423882.html Sent from the R help mailing list archive at Nabble.com.