Package: pkgutils 0.1.0

Rob Challen

pkgutils: Functions for building functions

A suite of tools for helping in function and package development. This includes functions that check variables for consistency, or help parse out inputs to functions. This has a particular focus on inputs that use formula or `tidyselect` interfaces to define the parts of a dataframe that we might be interested in.

Authors:Rob Challen [aut, cre]

pkgutils_0.1.0.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
pkgutils/json (API)

# Install 'pkgutils' in R:

install.packages('pkgutils', repos = c('https://bristol-vaccine-centre.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bristol-vaccine-centre/pkgutils/issues

On CRAN:

3.86 score 2 stars 1 packages 24 scripts 25 downloads 26 exports 23 dependencies

Last updated from:9f04dfc234 (on 0.1.0). Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	124
source / vignettes	OK	242
linux-release-x86_64	OK	132
macos-release-arm64	OK	100
macos-oldrel-arm64	OK	94
windows-devel	OK	73
windows-release	OK	86
windows-oldrel	OK	80
wasm-release	OK	102

Exports:%>%as.var_grp_df check_consistent check_date check_integer check_numeric col_syms ensyms2 escalate get_fn_args get_fn_name glimpse.var_grp_df is.var_grp_df optional_fn recycle resolve_missing var_group var_group_compare var_group_count var_group_formula var_group_modify var_group_nest var_grps var_has_groups var_subgroup_count var_subgroup_nest

Dependencies:cli cpp11 digest dplyr generics glue lifecycle lubridate magrittr pillar pkgconfig purrr R6 rlang stringi stringr tibble tidyr tidyselect timechange utf8 vctrs withr

Consistency checking with pkgutils

Toy example

Rendered fromconsistency.Rmdusingknitr::rmarkdown

Last update: 2024-03-28
Started: 2024-03-28

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
The 'var_grp_df' dataframe subtype	as.var_grp_df
Check function parameters are conform to a set of rules	check_consistent
Checks a set of variables can be coerced to a date and coerces them	check_date
Checks a set of variables can be coerced to integer and coerces them	check_integer
Checks a set of variables can be coerced to numeric and coerces them	check_numeric
Column names as symbols	col_syms
Convert a parameter into a list of symbols	ensyms2
Cause warnings to create an error	escalate
Fully evaluate the arguments from a function call as a named list.	get_fn_args
Get the name of a function	get_fn_name
Get an optional function without triggering a CRAN warning	optional_fn
Strictly recycle function parameters	recycle
Resolve missing values in function parameters and check consistency	resolve_missing
Extract a definition of column groups from function parameters	var_group
Cross compare subgroups of data to each other	var_group_compare
The number of major groups ('z' categories) in a 'var_grp_df'	var_group_count
Export 'var_group' metadata as a formula	var_group_formula
Apply a function to each 'z' group using 'group_modify()'	var_group_modify
Nest a 'var_grp_df' by the 'z' columns	var_group_nest
'var_grp_df' S3 Methods	format.var_grp_df glimpse.var_grp_df is.var_grp_df print.var_grp_df var_grp_s3
Extract grouping info frm a 'var_grp_df'	var_grps
Does this 'var_grp_df' have more than one major group?	var_has_groups
The number of major and sub groups ('z' and 'y' categories) in a 'var_grp_df'	var_subgroup_count
Nest a 'var_grp_df' by the 'z' and 'y' columns	var_subgroup_nest