Package: tidytidbits 0.3.2
Marcel Wiesweg
tidytidbits: A Collection of Tools and Helpers Extending the Tidyverse
A selection of various tools to extend a data analysis workflow based on the 'tidyverse' packages. This includes high-level data frame editing methods (in the style of 'mutate'/'mutate_at'), some methods in the style of 'purrr' and 'forcats', 'lookup' methods for dict-like lists, a generic method for lumping a data frame by a given count, various low-level methods for special treatment of 'NA' values, 'python'-style tuple-assignment and 'truthy'/'falsy' checks, saving to PDF and PNG from a pipe and various small utilities.
Authors:
tidytidbits_0.3.2.tar.gz
tidytidbits_0.3.2.tar.gz(r-4.5-noble)tidytidbits_0.3.2.tar.gz(r-4.4-noble)
tidytidbits_0.3.2.tgz(r-4.4-emscripten)tidytidbits_0.3.2.tgz(r-4.3-emscripten)
tidytidbits.pdf |tidytidbits.html✨
tidytidbits/json (API)
NEWS
| # Install 'tidytidbits' in R: |
| install.packages('tidytidbits', repos = 'https://cloud.r-project.org') |
Conda:r-tidytidbits-0.3.2(2025-03-25)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:629ef60315. Checks:2 OK, 1 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 12 2025 |
| R-4.5-linux | NOTE | Mar 12 2025 |
| R-4.4-linux | OK | Mar 12 2025 |
Exports:%=%add_prop_testall_or_all_naany_or_all_naappend_objectare_trueas_formatted_numberas_formatted_p_valueas_percentage_labelcategorical_test_bycontingency_table_as_matrixcontingency_table_bycount_atcount_bydinAdinA_formatdinA_heightdinA_widthdinAFormatdinAHeightdinAWidthequal_including_naeval_unquotedexpression_listfalsyfirst_non_nasfirst_non_nas_atfirst_notfirst_not_nafirst_which_non_na_atfirst_which_not_naformat_numbers_atformat_p_values_atginvalidinvert_value_and_nameslocal_variableslocalVariableslookuplookup_chrlookup_dbllookup_function_from_dictlookup_intlookup_lgllookup_numlumplump_rowsname_containsnamednamed_paletteorder_factor_byorderer_function_from_sorted_vectorspluck_vectorprepare_directoryprepare_pathprepend_objectprint_deparsedquosure_listrename_factorrename_reorder_factorreplace_sequential_duplicatessave_pdfsave_pngsequential_duplicatessource_variablessourceVariablesstr_locate_matchsymbol_as_quosuresymbol_string_listsyntactically_safetrue_or_natruthyvalidvalue_containswhich_non_nawith_namewith_name_containingwith_value_containing
Dependencies:clicpp11dplyrextrafontextrafontdbfansiforcatsgenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangRttf2pt1stringistringrtibbletidyrtidyselectutf8vctrswithr
Citation
To cite package ‘tidytidbits’ in publications use:
Wiesweg M (2022). tidytidbits: A Collection of Tools and Helpers Extending the Tidyverse. R package version 0.3.2, https://CRAN.R-project.org/package=tidytidbits.
Corresponding BibTeX entry:
@Manual{,
title = {tidytidbits: A Collection of Tools and Helpers Extending
the Tidyverse},
author = {Marcel Wiesweg},
year = {2022},
note = {R package version 0.3.2},
url = {https://CRAN.R-project.org/package=tidytidbits},
}
Readme and manuals
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