WAnova (version 0.4.0)

welch_anova.mc: welch_anova.mc

Description

Monte Carlo simulation to assess residual normality and homoscedasticity across multiple groups by generating simulated data based on provided means, standard deviations, and sample sizes.

Usage

welch_anova.mc(
  means,
  sd,
  n,
  n_sim = 1000,
  sim_func = NULL,
  alpha = 0.05,
  adj = TRUE
)

Value

A list of class "simres" containing the proportion of simulations where residuals are normally distributed and homoscedastic.

Arguments

means

Vector of means for each group.

sd

Vector of standard deviations for each group.

n

Vector of sample sizes for each group.

n_sim

Number of simulations to perform. Defaults to 1000.

sim_func

Function used for generating random samples. Defaults to rnorm().

alpha

Significance level for normality and homoscedasticity tests. Defaults to 0.05.

adj

Logical, if TRUE applies continuity correction for proportions. Defaults to TRUE.

Examples

# \donttest{
means <- c(50, 55, 60)
sds <- c(10, 12, 15)
n <- c(30, 35, 40)
result <- welch_anova.mc(means = means, sd = sds, n = n, n_sim = 1000, alpha = 0.05)
print(result)
# }