plot_one_way_model: Plot a single-predictor linear model highlighting relevant...

In michaelfrancenelson/mfn.teaching.utils:

Plot a single-predictor linear model highlighting relevant components

Description

Plot a single-predictor linear model highlighting relevant components

Usage

plot_one_way_model(
  sim_dat,
  pch_pt = 21,
  cex_pt = 3.1,
  pt_col = adjustcolor("steelblue", 0.3),
  pt_border = 1,
  plot_step = TRUE,
  step_col = "red",
  step_lwd = 0.8,
  step_min = 0.3,
  step_max = 0.7,
  plot_h1 = TRUE,
  h1_col = "darkblue",
  h1_lty = 1,
  h1_lwd = 1,
  plot_h0 = TRUE,
  h0_col = "darkblue",
  h0_lwd = 1,
  h0_lty = 2,
  th = theme_minimal()
)

Arguments

pch_pt	= 21
cex_pt	= 3.1
pt_col	= adjustcolor("steelblue", 0.3)
pt_border	= 1
plot_step	whether to plot the step representing the rise/run components of the slope
step_col	colour of the slope step
step_lwd	width of the step line
step_min	relative x-position of the start of the step
step_max	relative x-position of the end of the step'
plot_h1	Whether to plot the regression line
h1_col	color for the regression line
h1_lty	line type for regression line
h1_lwd	width for the regression line
plot_h0	whether to plot the null hypothesis line
h0_col	color for the null hypothesis line
h0_lwd	line width for the null hypothesis line
h0_lty	line type for the null hypothesis line
th	overall plot theme

michaelfrancenelson/mfn.teaching.utils documentation built on Oct. 7, 2022, 1:13 a.m.