FMANOVA.approximation: Computes a Mult-FANOVA model by an approximation

In FuzzySTs: Fuzzy Statistical Tools

Description

Computes a Mult-FANOVA model by an approximation

Usage

FMANOVA.approximation(
  formula,
  dataset,
  data.fuzzified,
  sig = 0.05,
  breakpoints = 100,
  index.var = NA,
  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.
index.var	the column index of the considered variable for which the output will be printed. It is an argument of the Mult-FANOVA models by the exact and the approximation methods only.
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.

FuzzySTs documentation built on Nov. 23, 2020, 5:11 p.m.