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Dear mailing group, This is my first time here. Glad to have this resource! I am currently trying to load an Excel file into R (limma package loaded) using the source(*name of directory*) command, but it cannot open the file. I renamed the file as .R and .RData, to no avail. The Excel data contains one gene name per row and about 100 data points per gene (columns). I am only used to

Dear All, I need to calculate the optimal number of clusters for a classification based on a large number of observations (tens of thousands). Thibshirani et al. proposed the gap statistic for this purpose. Is any R code or fucntion available for this? Any help would be appreciated, including suggestions about other alternatives for the selection of an optimal number of cluster from large

Dear mailing group, I have loaded an Excel file into R by calling it ".csv" and using the "read.csv" function in R. However then I want to use the (limma package specific, I believe) function "hclust", which clusters data in a tree dendrogram, by similarity. However, I receive the errors msg.s: 1) "missing observations in cov/cor" 2) "In

Dear R mailing group, I am having extreme - and mysterious - trouble installing R. I tried simply dl ing R-2.3.1.tar.gz, and unzipping it, but after doing so, nowhere could I find a file called R-2.3.1.exe. I did however find an R-2.3.1.exe.manifest. I therefore tried the command line installation command - given in R-admin.pdf. This command is: tar zxvf R-2.3.1.tgz This is strange

Dear R mailing group, The second parameter for the function optim()is a function whose parameters are to be optimized. The description of this function given in the help file is the following: fn: A function to be minimized (or maximized), with first argument the vector of parameters over which minimization is to take place. It should return a scalar result.