Plot Distribution of a SMD

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

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

Value

Returns plot of the distribution of the standardized mean difference.

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.

Arguments

Value

Details

See also