sc_splines: Spline based index.

In cassowaryr: Compute Scagnostics on Pairs of Numeric Variables in a Data Set

Spline based index.

Description

(Taken from tourr git repo) Compares the variance in residuals of a fitted spline model to the overall variance to find functional dependence in 2D projections of the data.

Usage

sc_splines(x, y)

Arguments

x	numeric vector
y	numeric vector

Value

A "numeric" object that gives the plot's spines score.

Examples

  require(ggplot2)
  require(tidyr)
  require(dplyr)
  data(anscombe)
  anscombe_tidy <- anscombe %>%
  pivot_longer(cols = everything(),
    names_to = c(".value", "set"),
    names_pattern = "(.)(.)")
  ggplot(anscombe_tidy, aes(x=x, y=y)) +
    geom_point() +
    facet_wrap(~set, ncol=2, scales = "free")
  sc_splines(anscombe$x1, anscombe$y1)
  sc_splines(anscombe$x2, anscombe$y2)
  sc_splines(anscombe$x3, anscombe$y3)

cassowaryr documentation built on Aug. 9, 2022, 5:08 p.m.