
Generates HTML reports for sample size planning for sequential ANOVAs.
Source:R/plan_sample_size.R
plan_sample_size.RdRenders a parameterized R Markdown report that helps plan sample size for the sequential ANOVA.
The function takes expected effect size (f_expected), number of groups (k_groups),
the power, and decision rate, then generates a reproducible HTML report summarizing the simulation-based
sample size recommendations. The alpha level is always 0.05.
The template is located under:
inst/rmarkdown/templates/report_sample_size/skeleton/skeleton.Rmd.
Usage
plan_sample_size(
f_expected,
k_groups,
power = 0.95,
decision_rate = 0.9,
output_dir = tempdir(),
output_file = "sprtt-report-sample-size-planning.html",
open = interactive(),
overwrite = FALSE
)Arguments
- f_expected
Numeric scalar. The expected standardized effect size (e.g., Cohen's f). Must be between 0.1 and 0.4 (increments of 0.05).
- k_groups
Integer scalar. The number of groups to compare. Must be between 2 and 4.
- power
Numeric scalar (default = 0.95). Desired statistical power for the design. Possible values are 0.80, 0.90, and 0.95.
- decision_rate
Numeric scalar (default = 0.90). Desired chance to reach a decision. Must be between 0.75 and 0.95 (increments of 0.05).
- output_dir
Character string. Directory in which to save the rendered HTML report. Defaults to a temporary directory (
tempdir()).- output_file
Character string. File name of the generated HTML report. Defaults to
"sprtt-report-sample-size-planning.html".- open
Logical (default =
interactive()). IfTRUE, the generated report is opened in the system's default web browser after rendering.- overwrite
Logical (default =
FALSE). IfFALSEand the target file already exists, the user is prompted interactively whether to overwrite it. In non-interactive sessions, an error is raised unlessoverwrite = TRUE.
Value
Invisibly returns the path to the rendered HTML file (character string). The report is optionally opened in the default browser.
Details
This function is a front-end utility for rendering a pre-defined R Markdown report using
rmarkdown::render().