similar to: exporting rotating plot into Powepoint

Hi, I want to generate a number of vectors and store them with different names, like this: x=1 while (x<100) { vector#x# = rnorm(100) x=x+1 } where each vector has, at its hand, instead of #x# a number which goes from 1 to 99. How can I do this? Thanks Gabriele Zoppoli, MD Ph.D. Fellow, Experimental and Clinical Oncology and Hematology, University of Genova, Genova, Italy Guest

Hi how can I find, in a vector of characters, which is the most frequent one? Thanks Gabriele Zoppoli, MD Ph.D. Fellow, Experimental and Clinical Oncology and Hematology, University of Genova, Genova, Italy Guest Researcher, LMP, NCI, NIH, Bethesda MD Work: 301-451-8575 Mobile: 301-204-5642 Email: zoppolig at mail.nih.gov

Hi all, if I transpose a matrix with t(data), the newly created colums do not appear to have the first row as header. How can I do to have all the newly created columns have their first row as a header? Thanks Gabriele Zoppoli, MD Ph.D. Fellow, Experimental and Clinical Oncology and Hematology, University of Genova, Genova, Italy Guest Researcher, LMP, NCI, NIH, Bethesda MD Work: 301-451-8575

Hi, I'm trying to create a frequency histogram for all the values in a table, but when I try to do so, an error is returned, saying that I cannot create a histogram with an obkect of that class. Here's what I do: >library(lattice) >table<-read.table("C:/.../table",header=TRUE,sep="\t") >histogram(table) Please help me!!! Thanks Gabriele Zoppoli, MD

Hello, here is the problem: I want to demonstrate that, on average, the Pearson's correlations of a specified subset of genes from a huge list (>18,000 columns) are higher than any randomly chosen subset of that list. I would therefore like to do a number of tests between that specified subset and randomly chosen ones from the "mother" list. How could I do that? What would be

Hi, when I try to import a microarray CEL batch, I get this error message: > myAB <- ReadAffy () Error in .Call("read_abatch", filenames, rm.mask, rm.outliers, rm.extra, : cannot allocate vector of length 1287151200 which, assuming the value is in bites, is below my RAM values (3 Gb recognized by Windows). The isse is, when I try to do memory.limit (size = 3000 ) the

Sorry, maybe it's easy but I haven't found anything useful: how can I obtain a list C that contains all the members in the list B that are not in list A? This are lists of nanes, not numbers! Thank you Gabriele Zoppoli, MD Ph.D. Fellow, Experimental and Clinical Oncology and Hematology, University of Genova, Genova, Italy Guest Researcher, LMP, NCI, NIH, Bethesda MD Work: 301-451-8575

Hi I'm looking for a package to perform quality control, normalization and analysis of high throughput cell-base chemical screens. I know that the cellHTS2 package provides this for siRNA screens. Does anybody know if something like what I'm looking for exists? Thank you! Gabriele Zoppoli, MD Ph.D. Fellow, Experimental and Clinical Oncology and Hematology, University of Genova,

Please give me just a reference where I can find something useful. In summary, I need to : - find the median of each row of a matrix - create a new matrix with each value in the first matrix divided by the median of its row - if a value "a" in the second matrix is < 1, I need to substitute it with 1/a I know that for some of you it must be overeasy, but I swear I googled for two

Hi, I don't know to solve this error that is returned, even though I understand it: library(plotrix) Ymd.format<-"%Y/%m/%d" gantt.info<-list(labels= c("First task","Second task (1st part)","Third task (1st part)","Second task (2nd part)","Third task (2nd part)", "Fourt task","Fifth task","Sixth

Hello! I have this problem: I want to create a Venn's diagram with three lists of genes'names. The first is all the genome, the second a subset of it comprising all mitochondrial genes, and the third including all genes that correlate with a given gene. This is what I do: > library(gplots) > A<-read.delim("F:/.../mito genes just names.txt") >

Hi, I've lost my mind on it... I have to scatterplot two vectors, grouped by a third variable, with two different dimensions according to whether each cell line in the plot is sensitive or resistant to a given drug, and with a different color for each of 9 tissues of origin. Here's what I've done:

Dear r-help mailing list, this seems stupid, but I actually don't find the solution: if I have a vector of numbers x of length n, ranging, say, from -3 to 4, if I do barplot (x) all the values below 0 go downwards, and all the positive values go upward. How can I make them all begin from the minimum pointing upwards? Thanks! Gabriele Zoppoli, MD Ph.D. Fellow, Experimental and Clinical

Hi everybody, this is a real dummy thing. I sorted a matrix based on a given column, and what I get is right, until it comes to columns of negative and positive values; than, "order" orders everything from max to min in the negative values, and then AGAIN from max to min in the positive values!!! Why isn't everything order from max to min, and that's it? Thank you!!! Attached

Hi - I'm just geting started with R, specifically needing to plot some 3D joint distribution functions estimated from data. Happily, the "np" package includes example code which gets most of the way there. The following tweak of the doc code gives me a nice cdf: library(np) library(datasets) data(faithful) f <- npudens(~eruptions+waiting,data=faithful) plot(f,cdf = TRUE,

Hi, I am looking for some help concerning the npudens function in the np package. I am trying to find a kernel density function of a multivariate dataset and the density evaluated at each of the 176 points. I have 2 continuous and 3 ordered discrete variables. My sample size is 176. So edata is a 176x(2+3) data frame, while tdat is a 1x(2+3) vector. bw_cx[i,] is a 1x (2+3) vector

Hi List, I'm trying to get a density estimate for a point of interest from an npudens object created for a sample of points. I'm working with 4 variables in total (3 continuous and 1 unordered discrete - the discrete variable is the character column in training.csv). When I try to evaluate the density for a point that was not used in the training dataset, and when I extract the fitted

Hi all, I want to use the npudens() function in the np package (multivariate kernel density estimation), but was confused by the several functions in the following codes,expand.grid(),array(),image() and npudensbw(). This confusion will only be generated in >=3 dimensions. I marked the four places with confusion1-4. I think there should be some kind of correspondence in those four

Hi, I'd like to use a three-dimensional dataset to build a kernel density and then sample from the distribution. I already used the npudens function in the np package to estimate the density and plot it: fit<-npudens(~x+y+z) plot(fit) It takes some time but appears to work well. How can I use this to evaluate the fitted function at a certain point, e.g. (x=1, y=1, z=1)?

Dear collegues, Using maxstat I am getting the following: > blood <- maxstat.test(Surv(SUPER, FV)~ZAP,data=zap70, smethod="LogRank") Error in maxstat(y = structure(c(24.4301369863014, 26.4164383561644, 18.7835616438356, : couldn't find function "cscores" I do not know the meaning of this problem. Could you please help me on dat? Thank you in advance for your