datawizard 0.6.0

BREAKING CHANGES

• The minimum needed R version has been bumped to 3.6.

• Following deprecated functions have been removed:

  data_cut(), data_recode(), data_shift(), data_reverse(), data_rescale(),
  data_to_factor(), data_to_numeric()

• New text_format() alias is introduced for format_text(), latter of which
  will be removed in the next release.

• New recode_values() alias is introduced for change_code(), latter of which
  will be removed in the next release.

• data_merge() now errors if columns specified in by are not in both datasets.

• Using negative values in arguments select and exclude now removes the columns
  from the selection/exclusion. The previous behavior was to start the
  selection/exclusion from the end of the dataset, which was inconsistent with
  the use of "-" with other selecting possibilities.

NEW FUNCTIONS

• data_peek(): to peek at values and type of variables in a data frame.

• coef_var(): to compute the coefficient of variation.

CHANGES

• data_filter() will give more informative messages on malformed syntax of
  the filter argument.

• It is now possible to use curly brackets to pass variable names to data_filter(),
  like the following example. See examples section in the documentation of
  data_filter().

• The regex argument was added to functions that use select-helpers and did
  not already have this argument.

• Select helpers starts_with(), ends_with(), and contains() now accept
  several patterns, e.g starts_with("Sep", "Petal").

• Arguments select and exclude that are present in most functions have been
  improved to work in loops and in custom functions. For example, the following
  code now works:

foo <- function(data) {
  i <- "Sep"
  find_columns(data, select = starts_with(i))
}
foo(iris)

for (i in c("Sepal", "Sp")) {
  head(iris) |>
    find_columns(select = starts_with(i)) |>
    print()
}

• There is now a vignette summarizing the various ways to select or exclude
  variables in most {datawizard} functions.