Computes a Mult-FANOVA model by an approximation
FMANOVA.approximation(
formula,
dataset,
data.fuzzified,
sig = 0.05,
breakpoints = 100,
index.var = NA,
int.method = "int.simpson",
plot = TRUE
)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.
a description of the model to be fitted.
the data frame containing all the variables of the model.
the fuzzified data set constructed by a call to the function FUZZ or the function GFUZZ, or a similar matrix.
a numerical value representing the significance level of the test.
a positive arbitrary integer representing the number of breaks chosen to build the numerical alpha-cuts. It is fixed to 100 by default.
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.
the method of numerical integration. It is set by default to the Simpson method, i.e. int.method="int.simpson".
fixed by default to "TRUE". plot="FALSE" if a plot of the fuzzy number is not required.