plot_pair_BA: Bland-Altman plot

In mladenjovanovic/bmbstats: Bootstrap Magnitude-Based Statistics

Description

Bland-Altman plot

Usage

plot_pair_BA(
  predictor,
  outcome,
  SESOI_lower = 0,
  SESOI_upper = 0,
  confidence = 0.95,
  predictor_label = "Predictor",
  outcome_label = "Outcome",
  control = plot_control(),
  na.rm = FALSE
)

Arguments

predictor	Numeric vector
outcome	Vector
SESOI_lower	Lower smallest effect size of interest threshold
SESOI_upper	Upper smallest effect size of interest threshold
confidence	Default is 0.95
predictor_label	Character vector. The name of the predictor. Default is "Predictor"
outcome_label	Character vector. The name of the outcome. Default is "Outcome"
control	Plotting control object returned from plot_control
na.rm	Should NAs be removed? Default is FALSE

Value

ggplot object

See Also

plot_pair_lm for lm residuals plot and plot_pair_OLP for ordinary-least-squares residuals plot

Examples

criterion <- rnorm(
  n = 100,
  mean = 100,
  sd = 10
)

practical <- criterion * 1.2 + rnorm(n = 100, mean = -12, sd = 5)

plot_pair_BA(practical,
  criterion,
  SESOI_lower = -10,
  SESOI_upper = 10,
  predictor_label = "Practical",
  outcome_label = "Criterion"
)

mladenjovanovic/bmbstats documentation built on Aug. 5, 2020, 4:20 p.m.