R: Power Analyses using Monte Carlo Simulations

# Power Analyses using Monte Carlo Simulations

## Documentation for package ‘Spower’ version 0.6.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

as.data.frame.Spower | Simulation-based Power Analyses
as.data.frame.SpowerBatch | Simulation-based Power Analyses
gen_2r | p-value from comparing two or more correlations simulation
gen_anova.test | p-value from one-way ANOVA simulation
gen_chisq.test | p-value from chi-squared test simulation
gen_glm | p-value from (generalized) linear regression model simulations with fixed predictors
gen_kruskal.test | p-value from Kruskal-Wallis Rank Sum Test simulation
gen_mauchly.test | p-value from Mauchly's Test of Sphericity simulation
gen_mcnemar.test | p-value from McNemar test simulation
gen_mediation | p-value from three-variable mediation analysis simulation
gen_prop.test | p-value from proportion test simulation
gen_r | p-value from correlation simulation
gen_slr | p-value from simple linear regression model simulation
gen_t.test | p-value from independent/paired samples t-test simulation
gen_var.test | p-value from variance test simulation
getLastSpower | Get previously evaluated Spower execution
interval | Simulation-based Power Analyses
is.CI_within | Evaluate whether a confidence interval is within a tolerable interval
is.outside_CI | Evaluate whether parameter is outside a given confidence interval
mauchlys.test | p-value from Mauchly's Test of Sphericity simulation
print.Spower | Simulation-based Power Analyses
print.SpowerBatch | Simulation-based Power Analyses
p_2r | p-value from comparing two or more correlations simulation
p_anova.test | p-value from one-way ANOVA simulation
p_chisq.test | p-value from chi-squared test simulation
p_glm | p-value from (generalized) linear regression model simulations with fixed predictors
p_kruskal.test | p-value from Kruskal-Wallis Rank Sum Test simulation
p_ks.test | p-value from Kolmogorov-Smirnov one- or two-sample simulation
p_lm.R2 | p-value from global linear regression model simulation
p_mauchly.test | p-value from Mauchly's Test of Sphericity simulation
p_mcnemar.test | p-value from McNemar test simulation
p_mediation | p-value from three-variable mediation analysis simulation
p_prop.test | p-value from proportion test simulation
p_r | p-value from correlation simulation
p_r.cat | p-value from tetrachoric/polychoric or polyserial
p_scale | p-value from Scale Test simulation
p_shapiro.test | p-value from Shapiro-Wilk Normality Test simulation
p_slr | p-value from simple linear regression model simulation
p_t.test | p-value from independent/paired samples t-test simulation
p_var.test | p-value from variance test simulation
p_wilcox.test | p-value from Wilcoxon (signed rank) test simulation
Spower | Simulation-based Power Analyses
SpowerBatch | Simulation-based Power Analyses
SpowerCurve | Simulation-based Power Analyses
update.Spower | Update compromise or prospective/post-hoc power analysis without re-simulating