View source: R/plan_sample_size.R
| plan_sample_size | R Documentation |
Renders 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.
plan_sample_size(
f_expected,
k_groups,
beta = 0.05,
decision_rate = 0.85,
output_dir = tempdir(),
output_file = "sprtt-report-sample-size-planning.html",
open = interactive(),
overwrite = FALSE
)
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. |
beta |
Numeric scalar (default = 0.05). Desired beta error rate (Type II error). Possible values are 0.20, 0.10, and 0.05. |
decision_rate |
Numeric scalar (default = 0.85). 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 ( |
output_file |
Character string. File name of the generated HTML report.
Defaults to |
open |
Logical (default = |
overwrite |
Logical (default = |
This function is a front-end utility for rendering a pre-defined R Markdown report using
rmarkdown::render().
Invisibly returns the path to the rendered HTML file (character string). The report is optionally opened in the default browser.
If the specified output file already exists:
and overwrite = FALSE, the user is asked whether to overwrite (in interactive sessions);
otherwise, an error is thrown.
If overwrite = TRUE, the file is replaced silently.
## Not run:
# Generate and open an SPRT sample size planning report:
plan_sample_size(
f_expected = 0.25,
k_groups = 3,
decision_rate = 0.9
)
# Prevent overwriting an existing file:
plan_sample_size(0.25, 3, overwrite = FALSE)
## End(Not run)
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