Release cheapr 1.5.0 · NicChr/cheapr

cheapr 1.5.0 supersedes cheapr 1.4.0

The C/C++ API is currently under development and a
stable release can be expected for cheapr 2.0.0

Note: cheapr 2.0.0 will require C++20

Thanks @ChampLeeTX for spotting an issue where the package
wasn't installing for older versions of R. This is now fixed.
A new rich set of parallelised math functions like abs_, round_ and more.
New functions for setting and getting the number of threads being used.
New multi-threaded vector initialisers like new_integer and new_double.
Plain list vectors are now never regarded as NA even if they contain NA
elements.
Parallelisation is internally used more frequently for operations like
creating new vectors, combining vectors, filling, copying and replacing data.
The default has been changed to 2. To use a different number of threads simply
use set_threads()
scm now better detects when integer (32-bit and 64-bit) overflow occurs and
switches to using doubles internally, returning a double value.
if_else_ can now handle data frames and is fully SIMD parallelised.

The C/C++ API has been re-written to use pure R C API code internally.
New function unique_ as a cheaper alternative to unique.
New function replace_, a cheaper alternative to [<- for fast
value replacement.
New functions cast, cast_common, archetype, archetype_common, r_type
and r_type_common to help with fast type-stable coercion.
paste_ as a fast alternative to base::paste.
New function na_init to help with fast initialisation of vectors based off
a template vector.
seq_ gains a new argument size to allow for specifying sequences
of exact sizes.
Any combination of from, to, by and size can be specified and are
vectorised.
Added argument as_list to seq_ and sequence_ to allow the
result to be returned as a list of sequences instead of a vector of combined
sequences.
New vectorised functions seq_start, seq_end and seq_increment to help
with sequence generation.
New function is_whole_number to check that a numeric vector consists
only of whole numbers.
New function switch_args to give more flexibility to developers creating
functions that accept the ... argument.
Exported cpp_rebuild, a low-level convenience function for rebuilding
attributes from a template.
New rebuild methods for tbl_df and sf objects.

Fixed a bug in case that would return incorrect results when the length of
the RHS was greater than 1.
Removed all non-API C entry points.

sset is no longer an S3 generic and now internally dispatches on the
correct method. One can still define a subset method for custom objects
via [ which sset falls back on when it can't find an appropriate method.
Combining vectors via c_ has been internally made simpler, faster and
utilises type-stable common-casting.
if_else_ has been re-written mostly in C/C++ and should be faster.
as_df has been re-written in C/C++ and now has much lower overhead.
The .args argument now accepts any list, even classed ones.
rebuild.data.frame and rebuild.data.table will now return a data frame
with class 'data.frame' and c('data.table', 'data.frame') respectively instead of
returning a data frame with the class of the template data frame.
Added aliases for all functions named 'cheapr_' to follow the convention of
fn_() where fn() is the common function they are replacing or improving.
The current alternatives beginning with 'cheapr_' will likely not be deprecated
for a long while.
sequence_ will now recycle the size argument additionally to recycling
from and by.
Subsetting sf objects with sset now internally calls [.

fastplyr versions 0.9.91 and later must depend on cheapr version 1.4.0 and
later. This means that you can't for example install both fastplyr 0.9.9 and
cheapr 1.3.2
Matrices and arrays are explicitly converted to vectors
when using data frames via new_df and other data frame constructors.
Since the internal structure of a matrix is a vector with dimension attributes
it is much more efficient to treat it as a vector.
To work with rectangular data in cheapr it is advised to use data frames.
enframe_(), deframe_() and cut_numeric() have been removed as they have
been deprecated for a while.

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