datawizard 0.10.0

BREAKING CHANGES

NEW FUNCTIONS

CHANGES

datawizard 0.9.1

CHANGES

BUG FIXES

datawizard 0.9.0

NEW FUNCTIONS

CHANGES

BUG FIXES

datawizard 0.8.0

BREAKING CHANGES

CHANGES

NEW FUNCTIONS

MINOR CHANGES

BUG FIXES

datawizard 0.7.1

BREAKING CHANGES

NEW FUNCTIONS

MINOR CHANGES

BUG FIXES

datawizard 0.7.0

BREAKING CHANGES

NEW FUNCTIONS

MINOR CHANGES

BUG FIXES

datawizard 0.6.5

MAJOR CHANGES

MINOR CHANGES

BUG FIXES

datawizard 0.6.4

NEW FUNCTIONS

MINOR CHANGES

BUG FIXES

datawizard 0.6.3

MAJOR CHANGES

MINOR CHANGES

BUG FIXES

datawizard 0.6.2

BREAKING CHANGES

MINOR CHANGES

BUG FIXES

datawizard 0.6.1

datawizard 0.6.0

BREAKING CHANGES

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

NEW FUNCTIONS

CHANGES

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()
}

datawizard 0.5.1

datawizard 0.5.0

MAJOR CHANGES

Note that these functions also have .data.frame() methods and still work for data frames as well. Former function names are still available as aliases, but will be deprecated and removed in a future release.

CHANGES

NEW FUNCTIONS

BUG FIXES

datawizard 0.4.1

BREAKING

NEW FUNCTIONS

CHANGES

BUG FIXES

datawizard 0.4.0

MAJOR CHANGES

NEW FUNCTIONS

MINOR CHANGES

i.e. always return a vector or a data frame. Thus, data_extract() can now be used to select multiple variables or pull a single variable from data frames.

BUG FIXES

datawizard 0.3.0

NEW FUNCTIONS

datawizard 0.2.3

datawizard 0.2.2

datawizard 0.2.1

datawizard 0.2.0.1

datawizard 0.2.0

datawizard 0.1.0