generate_report_ceuclide: Generate a Microsoft Word document about the Euclidean...

In cmahalanobis: Calculate Distance Measures for DataFrames

Generate a Microsoft Word document about the Euclidean distances matrix or matrices and the p-values matrix or matrices.

Description

This function takes a dataframe, a factor or factors (two or more) and returns a Microsoft Word document about the Euclidean distances matrix or matrices (two or more) and the p-values matrix or matrices (two or more).

Usage

generate_report_ceuclide(
  dataset,
  formula,
  pvalue.method = "permutation",
  seed = NULL,
  min_group_size = 3
)

Arguments

dataset	A dataframe.
formula	A variable or variables (two or more) with factors which you want to calculate the Euclidean distances matrix or matrices (two or more) and the p_values matrix or matrices (two or more).
pvalue.method	A p_value method used to calculate the matrix or matrices (two or more), the default value is "permutation". Another method is "bootstrap".
seed	Optionally, set a seed for "bootstrap" or "permutation".
min_group_size	Minimum group size to maintain. The default value is 3, therefore factors, inside variables, with less than 3 observations will be discarded.

Value

A Microsoft Word document about the Euclidean distances matrix or matrices (two or more) and the p_values matrix or matrices (two or more).

Examples

# Example with iris dataset
data(airquality)

# Generate a report about "Species" factor in iris dataset
generate_report_ceuclide(airquality, ~Month, pvalue.method = 'bootstrap',
min_group_size = 3)

# Example with mtcars dataset
data(mtcars)

# Generate a report about "am" and "vs" factors in mtcars dataset
generate_report_ceuclide(mtcars, ~am + vs, 
pvalue.method = 'bootstrap', seed = 100, min_group_size = 3)

cmahalanobis documentation built on Sept. 14, 2025, 5:09 p.m.