memuse-class

classes

How much ram do you need to store a 100,000 by 100,000 matrix?
  Learn the scintillating answer to this and many more such questions with
  the memuse package.  This package gives the user the size (memory usage) 
  of an unallocated, in-core, dense, numeric matrix.  The output is an S4 
  class object that can be manipulated to be presented in different ways 
  (different units, short/long versions of those units, etc.).  The package
  offers similar functionality to that of R's object.size() function, with 
  the key difference being that memuse does not require an object to already
  be allocated.  So one can determine the size of enormous matrices even
  from a laptop.

Drew Schmidt

memuse

Estimate the memory usage of dense, in-core, numeric objects.

memuse-class function

<code>new('memuse', size = ..., unit = ..., unit.prefix = ...,
  unit.names = ...)</code>
  <code>memuse(size = ..., unit = ..., unit.prefix = ..., unit.names = ...)</code>
  <code>mu(size = ..., unit = ..., unit.prefix = ..., unit.names = ...)</code>

Creating Objects

<code>memuse</code> is the container for memory usage data for an unallocated,
  dense, in-core R object.  The <code>size</code> slot contains the memory 
  usage in some unit of bytes.  The <code>unit</code> slot contains the 
  unit of bytes that <code>size</code> is stored in (e.g., kb, mb, gb, ...).
  The <code>unit.prefix</code> slot contains the unit prefix, either IEC or
  SI.  The <code>unit.names</code> slot contains the unit names, either short
  (e.g., kb) or long (e.g., kilobyte).
  
  There is almost certainly no compelling reason to work with this class
  directly.  Instead, you should use the host of methods for this class.

memuse-class: Class memuse

Description

Arguments

Creating Objects

Details

See Also