FANOVA.approximation {FuzzySTs}

Computes a FANOVA model by an approximation

Description

Computes a FANOVA model by an approximation

Usage

FANOVA.approximation(
  formula,
  dataset,
  data.fuzzified,
  sig,
  breakpoints = 100,
  int.method = "int.simpson",
  plot = TRUE
)

Arguments

formula

a description of the model to be fitted.

dataset

the data frame containing all the variables of the model.

data.fuzzified

the fuzzified data set constructed by a call to the function FUZZ or the function GFUZZ, or a similar matrix.

sig

a numerical value representing the significance level of the test.

breakpoints

a positive arbitrary integer representing the number of breaks chosen to build the numerical alpha-cuts. It is fixed to 100 by default.

int.method

the method of numerical integration. It is set by default to the Simpson method, i.e. int.method="int.simpson".

plot

fixed by default to "TRUE". plot="FALSE" if a plot of the fuzzy number is not required.

Value

Returns a list of all the arguments of the function, the total, treatment and residuals sums of squares, the coefficients of the model, the test statistics with the corresponding p-values, and the decision made.