plot_likelihood: Scatter plot with likelihood superimposed.

In jbryer/VisualStats: Visualizations for Statistical Tests

Scatter plot with likelihood superimposed.

Description

Scatter plot with likelihood superimposed.

Usage

plot_likelihood(
  x,
  y,
  height = 0.4,
  k = 4,
  pt = 1,
  intercept = lm(y ~ x)$coefficients[1],
  slope = lm(y ~ x)$coefficients[2],
  sigma = sqrt(sum(resid(lm(y ~ x))^2)/length(x)),
  ...
)

Arguments

x	the predictor
y	the outcome
height	the proportion of the x-axis the distribution should occupy. That is, a height of 0.4 means the width of the distribution will occupy approximately 40 percent of the plot width.
k	the number of standard deviations to plot
pt	the point to highlight and draw the likelihood of.
intercept	the intercept from the model.
slope	the slope from the model.
sigma	the root mean square error
...	currently not used.

jbryer/VisualStats documentation built on Feb. 27, 2025, 6:19 p.m.