big.matrix object based on external massive data file stored on disk that cannot be fullly loaded into memory. The data file must be a well-formated ASCII-file, and contains only one single type. Current version only supports double type. Other restrictions about the data file are described in biglasso-package. This function reads the massive data, and creates a big.matrix object. By default, the resulting big.matrix is file-backed, and can be shared across processors or nodes of a cluster.setupX(filename, dir = getwd(), sep = ",", backingfile = paste0(unlist(strsplit(filename, split = "\\."))[1], ".bin"), descriptorfile = paste0(unlist(strsplit(filename, split = "\\."))[1], ".desc"), type = "double", ...)big.matrix. The default is current working directory.big.matrix. By default, its name is the same as filename with the extension replaced by ".bin".big.matrix. By default, its name is the same as filename with the extension replaced by ".desc".read.big.matrix.big.matrix object corresponding to a file-backed big.matrix. It's ready to be used as the design matrix X in biglasso and cv.biglasso.
big.matrix object with two backing files (.bin, .desc) created in current working directory. Once set up, the data can be "loaded" into any (new) R session by calling attach.big.matrix(discriptorfile).This function is a simple wrapper of read.big.matrix. See read.big.matrix and the package bigmemory for more details.
biglasso, cv.ncvreg## see the example in "biglasso-package"
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