plot_smd: Plot Distribution of a SMD

In Lakens/TOSTER: Two One-Sided Tests (TOST) Equivalence Testing

Plot Distribution of a SMD

Description

Function to produce plots of the distribution of the standardized mean difference

Usage

plot_smd(
  d,
  df,
  lambda = NULL,
  sigma = NULL,
  smd_ci = c("goulet", "nct", "t", "z"),
  smd_label = "SMD",
  type = c("c", "cd"),
  levels = c(0.5, 0.9, 0.95, 0.999)
)

Arguments

d	Estimate of the standardized mean difference
df	degrees of freedom for the standardized mean difference
lambda	The non-centrality parameter for the standardized mean difference
sigma	The standard error for the standardized mean difference
smd_ci	Method for calculating SMD confidence intervals. Methods include Goulet, noncentral t (nct), central t (t), and normal method (z).
smd_label	Label for the x-axis indicating the SMD measure
type	Choose whether to plot a "consonance" function ("c"), consonance density ("cd"), or both (c("c","cd"); default option).
levels	Numeric vector of confidence levels to display

Details

This function was created so that users could create plots from their own SMD calculations and were inspired by the concurve R package. The difficulty is that specific information must be past onto this function. The calculations for the standardized mean difference can be found in the vignettes of this package. These types of plots are discussed by Schweder T, Hjort NL. (2016, ISBN:9781316445051) and Rafi Z, Greenland S. (2020) doi:10.1186/s12874-020-01105-9.

Value

Returns plot of the distribution of the standardized mean difference.

See Also

Other plotting functions: plot_cor(), plot_pes()

Lakens/TOSTER documentation built on April 17, 2024, 6:42 p.m.