setupX {biglasso}R Documentation

Set up design matrix X by reading data from big data file


Set up the design matrix X as a 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.


  dir = getwd(),
  sep = ",",
  backingfile = paste0(unlist(strsplit(filename, split = "\\."))[1], ".bin"),
  descriptorfile = paste0(unlist(strsplit(filename, split = "\\."))[1], ".desc"),
  type = "double",



The name of the data file. For example, "dat.txt".


The directory used to store the binary and descriptor files associated with the big.matrix. The default is current working directory.


The field separator character. For example, "," for comma-delimited files (the default); "\t" for tab-delimited files.


The binary file associated with the file-backed big.matrix. By default, its name is the same as filename with the extension replaced by ".bin".


The descriptor file used for the description of the file-backed big.matrix. By default, its name is the same as filename with the extension replaced by ".desc".


The data type. Only "double" is supported for now.


Additional arguments that can be passed into function bigmemory::read.big.matrix().


For a data set, this function needs to be called only one time to set up the 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 bigmemory::read.big.matrix(). See bigmemory for more details.


A big.matrix object corresponding to a file-backed bigmemory::big.matrix(). It's ready to be used as the design matrix X in biglasso() and cv.biglasso().


Yaohui Zeng and Patrick Breheny

See Also

biglasso(), cv.ncvreg(), biglasso-package


## see the example in "biglasso-package"

[Package biglasso version 1.6.0 Index]