datawizard 1.3.0

BREAKING CHANGES

• Argument values_fill in data_to_wide() is now defunct, because it did not
  work as intended (#645).

• data_to_wide() no longer removes empty columns that were created after
  widening data frames, to behave similarly to tidyr::pivot_wider() (#645).

CHANGES

• data_tabulate() now saves the table of proportions for crosstables as
  attribute, accessible via the new as.prop.table() method (#656).

• Due to changes in the package insight, data_tabulate() no longer prints
  decimals when all values in a column are integers (#641).

• Argument values_from in data_to_wide() now supports select-helpers like
  the select argument in other {datawizard} functions (#645).

• Added a display() method for data_codebook() (#646).

• display() methods now support the {tinytable} package. Use format = "tt"
  to export tables as tinytable objects (#646).

• Improved performance for several functions that process grouped data frames
  when the input is a grouped tibble (#651).

BUG FIXES

• Fixed an issue when demean()ing nested structures with more than 2 grouping
  variables (#635).

• Fixed an issue when demean()ing crossed structures with more than 2 grouping
  variables (#638).

• Fixed issue in data_to_wide() with multiple variables assigned in
  values_from when IDs were not balanced (equally spread across observations)
  (#644).

• Fixed issue in data_replicate() when data frame had only one column to
  replicate (#654).

datawizard 1.2.0

BREAKING CHANGES

• The following deprecated arguments have been removed (#603):
  • drop_na in data_match()
  • safe, pattern, and verbose in data_rename()

CHANGES

• data_read() and data_write() now support the .parquet file format, via
  the nanoparquet package (#625).

• data_tabulate() gets a display() method (#627).

• data_tabulate() gets an as.table() method to coerce the frequency or
  contingency table into a (list of) table() object(s). This can be useful for
  further statistical analysis, e.g. in combination with chisq.test() (#629).

• The print() method for data_tabulate() now appears in the documentation,
  making the big_mark argument visible (#627).

BUG FIXES

• Fixed an issue when printing cross tables using data_tabulate(by = ...),
  which was caused by the recent changes in insight::export_table().

• Fixed another issue when printing cross tables using data_tabulate(by = ...),
  when more than one variable was selected for select (#630).

• Fixed typo in the documentation of data_match().

datawizard 1.1.0

BREAKING CHANGES

• data_read() now also returns Bayesian models from packages brms and
  rstanarm as original model objects, and no longer coerces them into data
  frames (#606).

• The output format of describe_distribution() on grouped data has changed.
  Before, it printed one table per group combination. Now, it prints a single
  table with group columns at the start (#610).

• The output format of describe_distribution() when confidence intervals are
  requested has changed. Now, for each centrality measure a confidence interval
  is calculated (#617).

• data_modify() now always uses values of a vector for a modified or newly
  created variable, and no longer tries to detect whether a character value
  possibly contains an expression. To allow expression provided as string (or
  character vectors), use the helper-function as_expr(). Only literal
  expressions or strings wrapped in as_expr() will be evaluated as
  expressions, everything else will be treated as vector with values for new
  variables (#605).

CHANGES

• display() is now re-exported from package insight.

• data_read() and data_write() now rely on base-R functions for files of
  type .rds, .rda or .rdata. Thus, package rio is no longer required
  to be installed for these file types (#607).

• data_codebook() gives an informative warning when no column names matched
  the selection pattern (#601).

• data_to_long() now errors when columns selected to reshape do not exist in
  the data, to avoid nonsensical results that could be missed (#602).

• New argument by in describe_distribution() (#604).

• describe_distribution() now gives informative errors when column names
  in the input data frame conflict with column from the output table (#612).

• The methods for parameters_distribution objects are now defined in
  datawizard (they were previously in parameters) (#613).

BUG FIXES

• Fixed bug in data_to_wide(), where new column names in names_from were
  ignored when that column only contained one unique value.

• Fixed bug in describe_distribution() when some group combinations
  didn't appear in the data (#609).

• Fixed bug in describe_distribution() when more than one value for the
  centrality argument were specified (#617).

• Fixed bug in describe_distribution() where setting verbose = FALSE
  didn't hide some warnings (#617).

• Fixed warning in data_summary() when a variable had the same name as
  another object in the global environment (#585).

datawizard 1.0.2

BUG FIXES

• Fixed failing R CMD check on ATLAS, noLD, and OpenBLAS due to small numerical
  differences (#592).

datawizard 1.0.1

BUG FIXES

• Fixed issue in data_arrange() for data frames that only had one column.
  Formerly, the data frame was coerced into a vector, now the data frame class
  is preserved.

• Fixed issue in R-devel (4.5.0) due to a change in how grep() handles logical
  arguments with missing values (#588).

datawizard 1.0.0

BREAKING CHANGES AND DEPRECATIONS

• datawizard now requires R >= 4.0 (#515).

• Argument drop_na in data_match() is deprecated now. Please use
  remove_na instead (#556).

• In data_rename() (#567):

  • argument pattern is deprecated. Use select instead.
  • argument safe is deprecated. The function now errors when select
    contains unknown column names.
  • when replacement is NULL, an error is now thrown (previously, column
    indices were used as new names).
  • if select (previously pattern) is a named vector, then all elements
    must be named, e.g. c(length = "Sepal.Length", "Sepal.Width") errors.

• Order of arguments by and probability_weights in rescale_weights() has
  changed, because for method = "kish", the by argument is optional (#575).

• The name of the rescaled weights variables in rescale_weights() have been
  renamed. pweights_a and pweights_b are now named rescaled_weights_a
  and rescaled_weights_b (#575).

• print() methods for data_tabulate() with multiple sub-tables (i.e. when
  length of by was > 1) were revised. Now, an integrated table instead of
  multiple tables is returned. Furthermore, print_html() did not work, which
  was also fixed now (#577).

• demean() (and degroup()) gets an append argument that defaults to TRUE,
  to append the centered variables to the original data frame, instead of
  returning the de- and group-meaned variables only. Use append = FALSE to
  for the previous default behaviour (i.e. only returning the newly created
  variables) (#579).

CHANGES

• rescale_weights() gets a method argument, to choose method to rescale
  weights. Options are "carle" (the default) and "kish" (#575).

• The select argument, which is available in different functions to select
  variables, can now also be a character vector with quoted variable names,
  including a colon to indicate a range of several variables (e.g. "cyl:gear")
  (#551).

• New function row_sums(), to calculate row sums (optionally with minimum
  amount of valid values), as complement to row_means() (#552).

• New function row_count(), to count specific values row-wise (#553).

• data_read() no longer shows warning about forthcoming breaking changes
  in upstream packages when reading .RData files (#557).

• data_modify() now recognizes n(), for example to create an index for data
  groups with 1:n() (#535).

• The replacement argument in data_rename() now supports glue-styled
  tokens (#563).

• data_summary() also accepts the results of bayestestR::ci() as summary
  function (#483).

• ranktransform() has a new argument zeros to determine how zeros should be
  handled when sign = TRUE (#573).

BUG FIXES

• describe_distribution() no longer errors if the sample was too sparse to compute
  CIs. Instead, it warns the user and returns NA (#550).

• data_read() preserves variable types when importing files from rds or
  rdata format (#558).

datawizard 0.13.0

BREAKING CHANGES

• data_rename() now errors when the replacement argument contains NA values
  or empty strings (#539).

• Removed deprecated functions get_columns(), data_find(), format_text() (#546).

• Removed deprecated arguments group and na.rm in multiple functions. Use by and remove_na instead (#546).

• The default value for the argument dummy_factors in to_numeric() has
  changed from TRUE to FALSE (#544).

CHANGES

• The pattern argument in data_rename() can also be a named vector. In this
  case, names are used as values for the replacement argument (i.e. pattern
  can be a character vector using <new name> = "<old name>").

• categorize() gains a new breaks argument, to decide whether breaks are
  inclusive or exclusive (#548).

• The labels argument in categorize() gets two new options, "range" and
  "observed", to use the range of categorized values as labels (i.e. factor
  levels) (#548).

• Minor additions to reshape_ci() to work with forthcoming changes in the
  {bayestestR} package.

datawizard 0.12.3

CHANGES

• demean() (and degroup()) now also work for nested designs, if argument
  nested = TRUE and by specifies more than one variable (#533).

• Vignettes are no longer provided in the package, they are now only available
  on the website. There is only one "Overview" vignette available in the package,
  it contains links to the other vignettes on the website. This is because there
  are CRAN errors occurring when building vignettes on macOS and we couldn't
  determine the cause after multiple patch releases (#534).

datawizard 0.12.2

• Remove htmltools from Suggests in an attempt of fixing an error in CRAN
  checks due to failures to build a vignette (#528).

datawizard 0.12.0

BREAKING CHANGES

• The argument include_na in data_tabulate() and data_summary() has been
  renamed into remove_na. Consequently, to mimic former behaviour, FALSE and
  TRUE need to be switched (i.e. remove_na = TRUE is equivalent to the former
  include_na = FALSE).

• Class names for objects returned by data_tabulate() have been changed to
  datawizard_table and datawizard_crosstable (resp. the plural forms,
  *_tables), to provide a clearer and more consistent naming scheme.

CHANGES

• data_select() can directly rename selected variables when a named vector
  is provided in select, e.g. data_select(mtcars, c(new1 = "mpg", new2 = "cyl")).

• data_tabulate() gains an as.data.frame() method, to return the frequency
  table as a data frame. The structure of the returned object is a nested data
  frame, where the first column contains name of the variable for which
  frequencies were calculated, and the second column contains the frequency table.

• demean() (and degroup()) now also work for cross-classified designs, or
  more generally, for data with multiple grouping or cluster variables (i.e.
  by can now specify more than one variable).