In alessiapini/fdatest: Interval Wise Testing for Functional Data

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

fdatest

The goal of fdatest is to implement various statistical methods for domain selection in functional data analysis, that is selecting a subset of the domain where the difference between two populations is significant. The package is based on the paper by Abramowicz et al. (2022) and Pini & Vantini (2017).

Installation

You can install the package from CRAN with:

install.packages("fdatest")

Alternatively, You can install the development version of fdatest from GitHub with:

# install.packages("pak")
pak::pak("permaverse/fdatest")

Example

This is a basic example which shows you how to solve a common problem:

library(fdatest)

# Performing the TWT for two populations on the NASA temperatures data set
withr::with_seed(1234, {
  out <- TWT2(NASAtemp$paris, NASAtemp$milan)
})

# Plotting the results of the TWT
plot(
  out, 
  xrange = c(0, 12), 
  main = 'TWT results for testing mean differences'
)