Package index • oneMeanTest

All functions

adjust_p_values(): Adjust p-values for multiple testing
autoplot.oneMeanTest(): ggplot2 method for oneMeanTest objects
bonferroni_alpha(): Bonferroni correction
bootstrap_ttest(): Bootstrap one-sample t-test
calculate_fdr(): Calculate False Discovery Rate
check_assumptions(): Assumption checks for one-sample t-test
cohens_d(): Calculate Cohen's d effect size
cohens_d_ci(): Calculate Cohen's d with confidence interval
compare_tests(): Compare parametric and non-parametric tests
descriptive_stats(): Descriptive statistics for a numeric sample
effect_size_summary(): Calculate multiple effect sizes
effect_size_t_test(): Calculate detectable effect size for given power
effect_sizes: Effect Size Calculations for One-Sample T-Test
format_decision(): Format decision for display
format_ttest_report(): Format T-test Report
get_alternative_text(): Get alternative hypothesis text
ggplot_bootstrap(): Bootstrap distribution plot
ggplot_boxplot(): Boxplot with ggplot2
ggplot_ci(): Confidence interval plot with ggplot2
ggplot_diagnostic(): Diagnostic plot panel with ggplot2
ggplot_distribution(): Distribution plot with ggplot2
ggplot_effect_sizes(): Effect size comparison plot
ggplot_multiple_tests(): Multiple tests comparison plot
ggplot_power_curve(): Power curve plot with ggplot2
ggplot_qq(): Q-Q plot with ggplot2
ggplot_visualizations: ggplot2 Visualization Functions for One-Sample T-Test
glass_delta(): Calculate Glass's delta
hedges_g(): Calculate Hedges' g (bias-corrected Cohen's d)
interpret_assumptions(): Generate assumption check interpretation
interpret_ci(): Interpret confidence interval
interpret_effect_size(): Interpret effect size
interpret_p_value(): Interpret p-value strength
multiple_t_tests(): Perform multiple one-sample t-tests with correction
multiple_testing: Multiple Testing Corrections
nonparametric: Non-Parametric Alternatives for One-Sample Location Test
oneMeanTest-package oneMeanTest: oneMeanTest: One-sample t-test package
one_mean_test(): One-sample t-test for a population mean (unknown variance)
plot(<oneMeanTest>): Plot method for oneMeanTest objects
plot(<oneMeanTest_bootstrap>): Plot bootstrap distribution
plot_boxplot(): Boxplot with outlier identification
plot_ci(): Plot confidence interval
plot_distribution(): Plot data distribution with test information
plot_histogram(): Histogram with normal curve
plot_power_curve(): Plot power curve
plot_qq(): Q-Q plot for normality assessment
power_t_test(): Power Analysis Functions for One-Sample T-Test
print(<effect_size>): Print method for effect size objects
print(<effect_size_summary>): Print method for effect size summary
print(<multiple_t_tests>): Print method for multiple t-tests
print(<multiple_testing>): Print method for multiple testing
print(<oneMeanTest>): Print Method for oneMeanTest Objects
print(<oneMeanTest_bootstrap>): Print method for bootstrap one-sample t-test
print(<oneMeanTest_wilcoxon>): Print method for Wilcoxon test
report(): Report Methods for One-Sample T-Test
sample_size_t_test(): Calculate required sample size for desired power
sign_test(): Sign Test
summary(<oneMeanTest>): Summary Method for oneMeanTest Objects
wilcoxon_test(): Wilcoxon Signed-Rank Test