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cheese (version 0.1.2)

Tools for Working with Data During Statistical Analysis

Description

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.

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Install

install.packages('cheese')

Monthly Downloads

375

Version

0.1.2

License

MIT + file LICENSE

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Maintainer

Alex Zajichek

Last Published

January 6th, 2023

Functions in cheese (0.1.2)

grable

Make a kable with a hierarchical header
muddle

Randomly permute some or all columns of a data frame
depths

Find the elements in a list structure that satisfy a predicate
absorb

Absorb values into a string containing keys
%>%

Pipe operator
descriptives

Compute descriptive statistics on columns of a data frame
dish

Evaluate a two-argument function with combinations of columns
divide

Divide a data frame into a list
heart_disease

Heart Disease
some_type

Is an object one of the specified types?
stretch

Span keys and values across the columns
fasten

Bind a list of data frames back together
typly

Evaluate a function on columns conforming to one or more (or no) specified types
univariate_associations

Compute association statistics between columns of a data frame
univariate_table

Create a custom descriptive table for a dataset
stratiply

Stratify a data frame and apply a function