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tidyindex

Tidyindex provides infrastructures to construct and analyse indexes in a pipeline workflow. The pipeline workflow contains 9 modules for users to arrange into an index, including:

  • spatial processing
  • temporal processing
  • variable transformation
  • scaling
  • dimension reduction
  • distribution fit
  • normalising
  • benchmarking
  • simplification

The package is still in early development stage.

Installation

You can install the CRAN version with:

install.packages("tidyindex")

or the development version from GitHub with:

# install.packages("remotes")
remotes::install_github("huizezhang-sherry/tidyindex")

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Version

Install

install.packages('tidyindex')

Monthly Downloads

156

Version

0.1.0

License

MIT + file LICENSE

Issues

Pull Requests

Stars

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Maintainer

H. Sherry Zhang

Last Published

November 16th, 2023

Functions in tidyindex (0.1.0)

add_paras

Add parameters to an index table object
hdi

Human Development Index (2022)
dimension_reduction

The dimension reduction module
compute_indexes

Calculate multiple indexes at once
rescaling

The rescaling module
init

Initialise the tidyindex pipeline
trans_thornthwaite

Drought-related index functions
normalise

The normalise module
distribution_fit

The distribution fit module
variable_trans

The variable transformation module
temporal_aggregate

The temporal processing module
theme_benchmark

A ggplot2 theme for benchmarking the index series
swap_values

Testing alternatives
gggi

Global Gender Gap Index (2023)
tenterfield

Weather data for in-situ stations in Queensland from 1990 to 2020
tidyindex-package

tidyindex: A Tidy Data Pipeline to Construct, Compare, and Analyse Indexes