Functions for Tidy Analysis and Generation of Random Data

To make it easy to generate random numbers based upon the underlying stats distribution functions. All data is returned in a tidy and structured format making working with the data simple and straight forward. Given that the data is returned in a tidy 'tibble' it lends itself to working with the rest of the 'tidyverse'.

Tidy Methods for Bayesian Treatment Effect Models

Functions for extracting tidy data from Bayesian treatment effect models, in particular BART, but extensions are possible. Functionality includes extracting tidy posterior summaries as in 'tidybayes' < https://github.com/mjskay/tidybayes>, estimating (average) treatment effects, common support calculations, and plotting useful summaries of these.

String Distance Calculation with Tidy Data Principles

Calculation of string distance following the tidy data principles. Built on top of the 'stringdist' package.

Expand Tidy Output for Categorical Parameter Estimates

Create additional rows and columns on broom::tidy() output to allow for easier control on categorical parameter estimates.

Tidy Model Visualisation for Generalised Additive Models

Provides functions for visualising generalised additive models and getting predicted values using tidy tools from the 'tidyverse' packages.

Explore 'Wikidata' Through Tidy Data Frames

Query 'Wikidata' API < https://www.wikidata.org/wiki/Wikidata:Main_Page> with ease, get tidy data frames in response, and cache data in a local database.

Tidy Statistical Summaries for Exploratory Data Analysis

Provides a tidy set of functions for summarising data, including descriptive statistics, frequency tables with normality testing, and group-wise significance testing. Designed for fast, readable, and easy exploration of both numeric and categorical data.

Analyze Lines of R Code the Tidy Way

Analyze lines of R code using tidy principles. This allows you to input lines of R code and output a data frame with one row per function included. Additionally, it facilitates code classification via included lexicons.

Converts 'MultiQC' Reports into Tidy Data Frames

Provides the means to convert 'multiqc_data.json' files, produced by the wonderful 'MultiQC' tool, into tidy data frames for downstream analysis in R. This analysis might involve cohort analysis, quality control visualisation, change-point detection, statistical process control, clustering, or any other type of quality analysis.

Tidy Verbs for Dealing with Genomic Data Frames

Handle genomic data within data frames just as you would with 'GRanges'. This packages provides method to deal with genomic intervals the "tidy-way" which makes it simpler to integrate in the the general data munging process. The API is inspired by the popular 'bedtools' and the genome_join() method from the 'fuzzyjoin' package.