diff_myers

integer(1L) how many differences before giving up; set to
zero to allow as many as there are

max.diffs


Implementation of Myer's Diff algorithm with linear space refinement
originally implemented by Mike B. Allen as part of
<a href="/link/http%3A%2F%2Fwww.ioplex.com%2F~miallen%2Flibmba%2F?package=diffobj&version=0.1.4" data-mini-rdoc="diffobj::http://www.ioplex.com/~miallen/libmba/">http://www.ioplex.com/~miallen/libmba/</a>
version 0.9.1.  This implementation is a heavily modified version of the
original C code and is not compatible with the <code>libmba</code> library.
The C code is simplified by using fixed size arrays instead of variable
ones for tracking the longest reaching paths and for recording the shortest
edit scripts.  Additionally all error handling and memory allocation calls
have been moved to the internal R functions designed to handle those things.
A failover result is provided in the case where max diffs allowed is
exceeded.  Ability to provide custom comparison functions is removed.


internal

Generate a colorized diff of two R objects for an intuitive
visualization of their differences.

Brodie Gaslam

diffobj

Diffs for R Objects

diff_myers function


Implementation of Myer's Diff algorithm with linear space refinement
originally implemented by Mike B. Allen as part of
<a href = 'libmba'>http://www.ioplex.com/~miallen/libmba/</a>
version 0.9.1.  This implementation is a heavily modified version of the
original C code and is not compatible with the <code>libmba</code> library.
The C code is simplified by using fixed size arrays instead of variable
ones for tracking the longest reaching paths and for recording the shortest
edit scripts.  Additionally all error handling and memory allocation calls
have been moved to the internal R functions designed to handle those things.
A failover result is provided in the case where max diffs allowed is
exceeded.  Ability to provide custom comparison functions is removed.


diff_myers: Diff two character vectors

Description

Usage

Arguments

Value