ceuclide: Calculate the Euclidean distances for each pair of factors or...

In cmahalanobis: Calculate Distance Measures for DataFrames

Calculate the Euclidean distances for each pair of factors or for the index.

Description

This function takes a dataframe and a variable or variables (two or more) in input, and returns a matrix or matrices (two or more) with the Euclidean distances about each pair of factors inside them. You can also select "index" to calculate the Euclidean distances between each row.

Usage

ceuclide(
  dataset,
  formula,
  plot = TRUE,
  plot_title = "Euclidean Distance Between Groups",
  min_group_size = 3
)

Arguments

dataset	A dataframe.
formula	The index of the dataframe, otherwise a variable or variables (two or more) with factors which you want to calculate the Euclidean distances matrix or matrices (two or more).
plot	Logical, if TRUE, a plot or plots (two or more) of the Euclidean distances matrix or matrices about factors (two or more) are displayed.
plot_title	If plot is TRUE, the title to be used for plot or plots about factors. The default value is TRUE.
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. For "index", this value is always 1.

Value

According to the option chosen in formula, with "index" the Euclidean distance matrix will be printed; instead, by specifying variables, the Euclidean distances matrix or matrices (two or more) between each pair of groups and, optionally, the plot or plots (two or more) will be printed.

Note

If "index" is selected with variables, only distances between rows are calculated. Therefore, this snippet: "ceuclide(mtcars, ~am + carb + index)" will print distances only considering "index". Rows with NA values are omitted.

Examples

# Example with iris dataset

data(iris)

ceuclide(iris, ~Species, plot = TRUE, 
plot_title = "Euclidean Distance Between Groups", min_group_size = 2)

# Example with mtcars dataset

data(mtcars)

ceuclide(mtcars, ~am + carb, plot = TRUE, 
plot_title = "Euclidean Distance Between Groups", min_group_size = 3)

# Calculate ceuclide for index
res <- ceuclide(mtcars, ~index, 
min_group_size = 3)

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