A Tidy Data Pipeline to Construct, Compare, and Analyse Indexes
Add parameters to an index table object
Calculate multiple indexes at once
The dimension reduction module
The distribution fit module
Drought-related index functions
Initialise the tidyindex pipeline
The normalise module
The rescaling module
Testing alternatives
The temporal processing module
A ggplot2 theme for benchmarking the index series
tidyindex: A Tidy Data Pipeline to Construct, Compare, and Analyse Ind...
The variable transformation module
Weather data for in-situ stations in Queensland from 1990 to 2020
Construct and analyse indexes in a pipeline tidy workflow. 'tidyindex' contains modules for transforming variables, aggregating variables across time, reducing data dimension through weighting, and fitting distributions. A manuscript describing the methodology can be found at <https://github.com/huizezhang-sherry/paper-tidyindex>.
Useful links