Changelog

tidync 0.3.0

CRAN release: 2022-10-27

Add option to silence all warnings and messages. See #115, suggestion of @markpayneatwork.

Improved documentation for large data check in hyper_array() and hyper_tibble() and hyper_tbl_cube(), and allowed user-controlled option to avoid this check. Thanks to Alessandro Bigi for feedback.

CRAN release: 2020-05-12

Now inports cubelyr rather than dplyr for tbl_cube() thanks to Hadley Wickham PR #102.

CRAN release: 2019-11-06

CRAN release: 2019-10-22

Fix broken tests due to changes in RNetCDF, thanks to CRAN for notification.
Added example to readme and docs, and checks for non-unique hyper_filter() names, as per #93. Thanks to @everydayduffy for the suggestion.

CRAN release: 2019-05-23

Now depends on R 3.5.0.
Removed obscure numeric ‘what’ logic for activate().
Fixed tidync method for hyper_array() output.
Found a really bad bug in hyper_array() (#92), now fixed. Axis order in transforms was sometimes reversed, which caused garbled results from hyper_tibble(). The effect is to ruin any ggplot2 figures for some source files. It’s very likely that no other system yet uses the hyper_array() format so impact is low.

CRAN release: 2019-05-14

tidync is now part of the rOpenSci project.
Fixes in tests and examples to avoid version-incapable NetCDF problems on Solaris.
A number of improved tests and documentation fixes.
Deal with warnings from tidyr version > 0.8.3.
A huge thank you to all rOpenSci contributions, especially very helpful reviews from
@Nowosad and @timcdlucas as well as organizers @karthik, @stefaniebutland and @sckott.

Helpful input was also provided via issues from @adrfantini, @JustBerkhout, @matteodefelice, @rensa, @rmendels, @sw-rifai, and @tremenyi.

Pull requests were contributed by @dlebauer, @edzer.

CRAN release: 2019-04-27

Package improvements thanks to CRAN feedback, clarified Description and added more examples. Replaced cat() and print() calls with message() and warning().
New class ‘tidync_data’ for output of hyper_array(), no underlying change to the object which is simply a list of arrays from each variable, and axis transforms stored in an attribute.
Old deprecated function axis_transforms() now Defunct.

FIRST RELEASE, tidync was greatly improved via help from the rOpenSci review process.
New function hyper_grids() to report available grid names.
A printing error of dimension value ranges is now fixed, thanks to James Goldie (#84).
Now supports ‘NC_CHAR’ type, by exploding these into the array size expected.
Breaking change: when using tidync$gridit’s now expected that this must be
tidyr::unnest()ed in order to expand out the grid list per variable, in line with https://github.com/hypertidy/ncmeta/issues/26.
The hyper_array function now stores the relevant transforms table as an attribute transforms so that objects can be constructed directly from the native array output.

Function rename hyper_array() now matches hyper_tibble() indicating the form of the output (rather than the action used, was hyper_slice()).
New functions hyper_vars() and hyper_dims() for reporting on the currently active variables and dimensions and their status.
Now dependent on ncmeta >= 0.0.2, partly to avoid crashing on invalid source or file strings
Removed hyper_index() and incorporated that into hyper_filter(), there’s now only one delay-capable class which is ‘tidync’

Function hyper_filter() now uses a selection idiom, to record the state of the axis rather than explicitly filter it. This means we can have more flexibility on what the axis transform tables can be used for, and removes some unwieldy handling code. All the available axes are on the object from first contact, which means we can program against the entire space in the source which will help for complex mapping scenarios.
Function hyper filter() print now handles the case of char-type coordinate values by setting the min and max to NA_real_
Various improvements and fixes for the print method for tidync
Support coordinate-less dimensions has been added, there is new information in the print summary about which dimensions are a “coord_dim” and this results in the axis transform tables using the index as the coordinate value.
Functions hyper_slice() and hyper_tibble() now return all variables that exist within a grid
This version sees a new model where activation is on ‘grids’, effectively a space composed of dimensions. In addition to the variables, dimension, and attributes entities we add ‘grid’ defined by a set of dimensions, and ‘axis’ which is an instance of a particular dimension as used by a variable.
Sources without recognizable variables now gracefully handled, with help from ncmeta.