BigQuic


The original authors of QUIC and BigQUIC brought QUIC to Matlab (MEX), Standalone (C++), and R, but BigQUIC was delivered for Matlab and Standalone only with no R package. There are also some other features to the package, including sample data generation, inverse selection, and plotting. IMPORTANT: Due to the practicalities of formatting and working with large data sets, files are written to disk at various times when using BigQuic. The locations of the files BigQuic wrote to disk are kept in the object returned by BigQuic. They can be deleted when you’re finished with the BigQuic_object manually by using the cleanFiles() function as shown in the examples. There are basiclly 8 cases for file creation, the following will give you an idea of where they are in case R crashes completely and loses the references to the files so you need to delete them manually. Files created in tmp are deleted on reboot, so no worries if you’re having trouble finding them.

Availability: BigQuic is also available as


  1. X, output file, use_ram = TRUE length(lambda) output files created in output location 1 file created for X in tmp Note: this is the same as 5, use_ram doesn’t matter in this case
  2. input file, no output file, use_ram = FALSE length(lambda) output files in location of input file
  3. input file, output file, use_ram = FALSE length(lambda)a output files in location of output file Same as 8, use_ram doesn’t matter in this case
  4. X, no output file, use_ram = FALSE length(lambda) output files in tmp 1 file created for X in tmp Also same as 1 and 5
  5. X, output file, use_ram = FALSE length(lambda) output files created in output file location 1 file created for X in tmp
  6. X, no output file, use_ram = TRUE 1 file created for X in tmp
  7. input file, no output file, use_ram = TRUE no files created
  8. input file, output file, use_ram = TRUE length(lambda) output files created in output file location


BigQuic Discussion