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

 ``` 1 2 3 4 5 6 7 8 9 10``` ```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.