| NEWS | R Documentation |
Support for writing of gzip-ed npy files has
been added.
A new option dotranspose has been added to
npyLoad() to support data sets that do not need to be
transposed to be used in R.
A memory leak in reading files has been corrected.
Added automatic use of transpose to automagically account for Fortran-vs-C major storage defaults between Python and R.
Support for integer types in dependent on the int64_t
type which is available only when the -std=c++0x switch is
used at build-time (and CRAN still discourages use of it)
Added support for reading gzip'ed files ending in ".npy.gz"
Added regression tests in directory tests/
Added a vignette describing the package
Added a timing benchmark in demo/timings.R
Initial version, as a straightforward Rcpp modules wrap around
the cpny library by Carl Rogers (on github under a MIT
license).
At present, npy files can be read and written for
vectors and matrices of either numeric or integer type.
Note however that matrices are currently transposed because
of the default Fortran ordering done by numpy.