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Purpose

The goal of tidytidbits is to complement the environment provided by the tidyverse packages with a set of higher-level functions within the scope of data analysis and plotting.

Installation

Install from CRAN:

install.packages("tidytidbits")

Or install the latest git version from bitbucket:

devtools::install_bitbucket("mwiesweg/tidytidbits")

Components

The following areas are covered:

• methods designed for use in a dplyr pipeline
  • formatting columns: format_numbers_at, format_p_values_at, and the corresponding generic tools as_formatted_number, as_formatted_p_value, as_percentage_label
  • adding data analysis results as new columns: count_by, add_prop_test
  • cross tabulation in a pipeline: cross_tabulate
  • lumping rows of a data frame by a count: lump_rows, and the corresponding generic tool lump
  • appending and prepepnding in a pipe with different semantics: append_object, prepend_object
  • lower-level pipeline tools: add_summary, add_summary_by, execute_if, execute_in_pipeline, interlude
• convenience methos to rename and reorder a factor: rename_reorder_factor, rename_factor, order_factor_by
• vectorised and non-vectorised methods implementing usefuls notions about NA and logical values: all_or_all_na, any_or_all_na, are_true, equal_including_na, falsy, invalid, true_or_na, truthy, valid
• vectorised methods dealing with data frame columns potentially containing NA values: first_non_nas, first_not, first_not_na, first_which_not_na, which_non_na
• a vectorised lookup method for use with dictionary-like vectors: lookup and its type-specific variants
• some accessors for use with purrr’s pluck or the additionally provided pluck_vector: name_contains, named, value_contains
• generic tools: invert_value_and_names, str_locate_match
• dealing with sequential duplicates: sequential_duplicates, replace_sequential_duplicates
• for plotting:
  • conveniently saving a plot from a pipe: save_pdf, save_png
  • convenience methods for safe directory generation: prepare_path, prepare_directory
  • convenience method giving frequently used paper sizes: dinA_format, dinA_height, dinA_width
  • convenience method to create a named palette: named_palette and for creating a qualitative palette with many entries: iwanthue_palette
• a notion of having a method which provides its local variables for reuse in other methods: local_variables and the corresponding source_variables
• a python-style tuple-assignment implementation g(a, b) %=% function_returning_vector_of_two_elements()
• some low-level methods utilizing rlang features: eval_unquoted, expression_list, print_deparsed, quosure_list, symbol_as_quosure, symbol_string_list, syntactically_safe

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.