poweRbal_data-printsummary function

Print and summary method for poweRbal_data objects

This function prints the contents of an object of class poweRbal_data. It provides a brief summary of the object structure and its contents.

This function provides a summary of an object of class poweRbal_data. It offers a high-level overview of the contents and their structure.

## S3 method for class 'poweRbal_data'
print(x, ...)

## S3 method for class 'poweRbal_data'
summary(object, ...)

Arguments

• x: An object of class poweRbal_data, which is a list containing one mandatory element, power, and several optional elements:

  • power: A numeric matrix containing the power values (one row per TSS and one column per alternative model).
  • accept_regions: A numeric matrix containing information on the region of acceptance (one row per TSS and four columns).
  • CIradius: A numeric matrix containing the confidence interval radii (one row per TSS and one column per alternative model).
  • actual_sample_sizes: A numeric vector containing the actual sample sizes under each alternative model, as some models do not always successfully generate trees.
  • alt_model_params: A numeric vector (one element per alternative model) containing the values of a tree model parameter. This is only suitable if the alternative models all belong to the same tree model family and differ only in one parameter.
  • Other input data from the powerComp() function, such as tss, null_model, alt_models, n, distribs, N_null, N_alt, test_type, correction, and sig_lvl.

• ...: Additional arguments passed to the print or summary

  function.

• object: An object of class poweRbal_data (see x for more details).

Returns

print.poweRbal_data No return value, as the primary purpose of this function is the side effect (printing).

summary.poweRbal_data No return value, as the primary purpose of this function is the side effect (printing summary).

Examples

# Printing a 'poweRbal_data' object:
pc1 <- powerComp(tss = c("Sackin", "Colless", "B1I"),
                 alt_models = list(list("aldous",-1), "pda", "etm"),
                 n = 8L, N_null = 40L, N_alt = 20L)
pc1
# Summary of a 'poweRbal_data' object:
summary(pc1)