TOSTER (version 0.8.3)

plot_smd: 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)
)

Value

Returns plot of the distribution of the standardized mean difference.

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.

See Also

Other plotting functions: plot_cor(), plot_pes()