Package: cheese 0.1.3.9000

cheese: Tools for Working with Data During Statistical Analysis

Contains tools for working with data during statistical analysis, promoting flexible, intuitive, and reproducible workflows. There are functions designated for specific statistical tasks such building a custom univariate descriptive table, computing pairwise association statistics, etc. These are built on a collection of data manipulation tools designed for general use that are motivated by the functional programming concept.

Authors:Alex Zajichek [aut, cre]

cheese_0.1.3.9000.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
cheese/json (API)

# Install 'cheese' in R:
install.packages('cheese', repos = c('https://zajichek.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/zajichek/cheese/issues

Pkgdown/docs site:https://zajichek.github.io

Datasets:

On CRAN:

Conda:

data-manipulationstatistical-analysis

4.00 score 1 stars 3 scripts 281 downloads 16 exports 53 dependencies

Last updated from:df2e4edae2. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK133
source / vignettesOK180
linux-release-x86_64OK117
macos-release-arm64OK86
macos-oldrel-arm64OK83
windows-develOK91
windows-releaseOK82
windows-oldrelOK89
wasm-releaseOK113

Exports:%>%absorbdepthsdepths_stringdescriptivesdishdividefastengrablemuddlesome_typestratiplystretchtyplyunivariate_associationsunivariate_table

Dependencies:base64encbslibcachemclicpp11digestdplyrevaluatefarverfastmapfontawesomeforcatsfsgenericsgluehighrhtmltoolsjquerylibjsonlitekableExtraknitrlabelinglifecyclemagrittrmemoisemimepillarpkgconfigpurrrR6rappdirsRColorBrewerrlangrmarkdownrstudioapisassscalesstringistringrsvglitesystemfontstextshapingtibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxml2yaml

Making cheese
Heart disease dataset | Splitting and binding data | Adjusting the depth | Applying functions | Pairwise combinations of column sets | Subsets of data | Distributing to specific classes | Populating key-value pairs into custom string templates | Concatenating repetitive keys | Evaluating strings as expressions | Traversing lists to identify objects | Distorting relationships between columns | Spanning keys and values across the columns | Stacking headers in a table | Univariate analysis
Rendered fromcheese.Rmdusingknitr::rmarkdown

Last update: 2022-02-10
Started: 2019-10-14

Building a descriptive analysis
Custom string templates | Stratification variables | Adding sample size | Association metrics | Backend functionality | Specifying data types | Change column type prior to function call | Change scope of what column types are evaluated by what function sets | Allow evaluation by its own set of functions | Adding user-specified functions | Additional preferences | Rendering format | Relabeling, releveling and reordering | Headers, fill values, and captions
Rendered fromdescribe.Rmdusingknitr::rmarkdown

Last update: 2021-09-19
Started: 2020-04-23