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Breaking changes
major code rework for all data-wrangling and variable manipulation functions with tidyverse libraries and development conventions
renamed most data-wrangling and variable manipulation functions such that their functionality are more name-intuitive (see below)
Minor changes
Default code of generated data from all data-wrangling and variable manipulation functions now uses native R pipe |>. An option is added to use the magrittr pipe %>% instead.
The code() accessor function now returns a string with class inzcode that has a print method which formats the code nicely.
New features
The following functions are reworked and added new features:
renamed aggregatedt() to aggregate_dt() and aggregate_dt() is now a wrapper of aggregate_data() with date component extraction and aggregation functionality built in, and added an option to allow aggregation with additional variables
combined unite() and combineCatVars() into combine_vars() and added options to remove empty factor combinations and turn missing values into an explicit factor level
combined reshape_data() and stackVars() into reshape_data() and reworked the arguments
renamed rankVars() to rank_vars() and included more ranking methods (integer ranking by density and percentage ranking)
renamed reorderLevels() to reorder_levels and included more auto-reordering methods (by first appearance and numeric order)
added an option to specify time zone in convert_to_datetime()
renamed joindata() to join_data(), included right-join method, and reworked its arguments
pull %||% operator from 'iNZight'
Other changes
The following functions have changed names and with renamed/reworked arguments (see code documentation for more details)