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Changelog

Source: NEWS.md

Version 0.25

o Adapted class methods for declared objects with "`Date`" inputs
o Improved function `sum()` for declared objects
o Fixed bug in `undeclare()` with numeric values and character (declared)
  missing values (thanks to Kyle Husmann for the report)
o New methods for `vec_proxy()` and `vec_restore()` for objects of class
  "`declared`" (thanks to Kyle Husmann for the PR)

Version 0.24

CRAN release: 2023-12-07

o Objects of class "`Date`" are now accepted as input for a declared object
o The package no longer automatically coerces from numeric to integer
o Improved version of `w_table()` for duplicated labels
o Bug fix in `as.haven()` for declared missing values with no labels
  (thanks to Marijana Glavica for the report)

Version 0.23

CRAN release: 2023-10-01

o Maintenance work to comply with the CRAN related issues generated by the
  new behavior of the base function `is.atomic()`

Version 0.22

CRAN release: 2023-07-10

o Improved treatment of extended missing values, via imported haven objects
o `w_table()` now correctly display the missing values, in the declared order
o New argument "`vlabel`" in function `w_table()`, to print the variable
  label, if present

Version 0.21

CRAN release: 2023-05-16

* Function `declared()` now recognize a "`labels`" attribute of the input
  object, if it already exists
* Fixed bug in function `measurement()`, when dealing with variables with
  missing range only (no discrete missing values declared)
* To prevent abrupt errors when subsetting a data frame with declared
  variables, the default action is now to impose unique value labels
* The function labels() gains a new argument "`print_as_df`" (TRUE by default)
  to print the labels as a data frame
* Printing a declared object now display a maximum of seven value labels,
  with a message indicating how many are left out
* New functions `w_IQR()` and `w_fivenum()`

Version 0.20

CRAN release: 2023-03-03

* Base functions `is.element()`, `%in%` and `match()` now properly recognize
  declared objects
* Bug fix affecting declared character objects, via `as.character.declared()`
* New functions `anyNAempty()` and `anyNAdeclared()`

Version 0.19

CRAN release: 2022-10-01

* More effort on meeting Good Practices for pkgcheck()
* Bug fix hapenning on r-devel, to silence CRAN errors

Version 0.18

CRAN release: 2022-09-29

* Improved method for `rbind()` data frames, taking care of declared variables
* Function value_labels() has been replaced with the generic base function
  `labels()`, and the function `variable_label()` has been replaced with the
  function `label()`
* Changed default for `as.factor()`, with values and (where available) levels
  (thanks to Daniel Antal for the report)
* New generic function `drop_na()` to drop information about the declared
  missing values

Version 0.17

CRAN release: 2022-06-20

* Correctly determine the object mode, function of both value labels and
  input values (especially when all input values are empty NA values)
* New argument "`measurement`" in function `declared()`
* New function `measurement()`, to query and allocate measurement levels

Version 0.16

CRAN release: 2022-05-12

* New logical argument "`values`" in the S3 method for `as.character()`
* Removed aliases `as_declared()` and `as_haven()` from the namespace
* Fixed `as.haven()` which should return double objects

Version 0.15

CRAN release: 2022-04-13

* Class method for many / most primitive functions, with declared objects
* Bug fix in `w_table()` affecting zero frequency categories
* Dropped alias `frtable()` from function `w_table()`
* New function `is.empty()`, testing the presence of undeclared missing values
* Main function `declare()` is now generic, allowing flexibility to create
  custom methods for any other classes of objects
* Removed dependency on package admisc, by incorporating the necessary
  functionality as internal functions

Version 0.13

CRAN release: 2022-04-03

* New functions `w_mode()` and `w_standardize()`
* Fixed `w_summary()`, summaries should not be rounded by default
* Fixed `w_mean()` to weight negative values
Thanks to an anonymous reviewer for reporting and suggesting the following:
* New argument "`drop`" in function `undeclare()`
* Bug fix in the class methods for `head()` and `tail()`
* Function declared now duly recognizes input factors
* Extended `as.factor()` for objects of class "`declared`"
* Added proper class methods for primitive arithmetic operations
* New functions `as.declared()`, `is.declared()`
* Added explanatory documentation (for instance in the DESCRIPTION file) to
  explain the reasons for reimplementing some of the base functions

Version 0.12

CRAN release: 2022-03-14

* New function `w_summary()`
* Functions `w_table()` and `w_quantile()` now properly deal with missing weights
* New argument "`trim`" in function `w_mean()`

Version 0.11

CRAN release: 2022-03-03

* Fixed `w_table()`, an internal object was inadvertently returned
* Improved printing of crosstables

Version 0.10

CRAN release: 2022-02-22

* New functions `w_mean()`, `w_var()` and `w_sd()`, `w_quantile()` and
  `w_median()`, to  obtain weighted versions of mean, variance and standard
  deviation, quantiles and median, respectively, adapted to declared objects
* Fixed a bug in `as.haven.declared()`, when all values are (declared)
  missing and labels are not numeric
* Argument "`weight`" changed to "`wt`" in `w_table()`
* New arguments in function `w_table()`: "`observed`" to only print observed
  values, and "`margin`" to calculate proportions in crosstabs
* Function `w_table()` now accepts a second argument "`y`" to create crosstabs
* Function `frtable()` renamed to `w_table()` standing for weighted table

Version 0.9

CRAN release: 2022-02-11

* New argument "`weight`" in function `frtable()`, allowing to weight not
  only valid but also missing values
* More robust function `frtable()` in treating declared values with
  overlapping labels (e.g. hierarchical ISCO codes and categories)
* Fixed a bug in `declared()` when all values are completely missing

Version 0.8

CRAN release: 2022-01-11

* Improved treatment of equality and non-equality, now accepting labels as
  well as values
* Reverted functionality to not dropping the attributes in arithmetic
  operations, this is now left to the users' preference

Version 0.7

CRAN release: 2021-09-02

* Bug fix saving declared data frames as .csv files
* `as.declared()` now retains the "format.spss" attribute, if existing

Version 0.6

CRAN release: 2021-08-18

* Improved treatment of arithmetic operations, attributes are no longer
  propagated (thanks to Randall Pruim for the suggestion)
* Modified as.haven() for objects of class "`declared`", to avoid a bug in
  package ReadStat that prevents exporting missing values to SPSS for
  integer variables

Version 0.5

CRAN release: 2021-06-16

* Initial version