FMANOVA: Computes a Mult-FANOVA model by a convenient metric, an exact...

In FuzzySTs: Fuzzy Statistical Tools

Description

Computes a Mult-FANOVA model by a convenient metric, an exact calculation or an approximation

Usage

FMANOVA(
  formula,
  dataset,
  data.fuzzified,
  sig = 0.05,
  method,
  distance.type = "DSGD",
  index.var = NA,
  i = 1,
  j = 1,
  theta = 1/3,
  thetas = 1,
  p = 2,
  q = 0.5,
  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.
method	the choices are the following: "distance", "exact", "approximation".
distance.type	type of distance chosen from the family of distances. The different choices are given by: "Rho1", "Rho2", "Bertoluzza", "Rhop", "Delta.pq", "Mid/Spr", "wabl", "DSGD", "DSGD.G", "GSGD".
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.
i	parameter of the density function of the Beta distribution, fixed by default to i = 1.
j	parameter of the density function of the Beta distribution, fixed by default to j = 1.
theta	a numerical value between 0 and 1, representing a weighting parameter. By default, theta is fixed to 1/3 referring to the Lebesgue space. This measure is used in the calculations of the following distances: d_Bertoluzza, d_mid/spr and d_phi-wabl/ldev/rdev.
thetas	a decimal value between 0 and 1, representing the weight given to the shape of the fuzzy number. By default, thetas is fixed to 1. This parameter is used in the calculations of the d_theta star and the d_GSGD distances.
p	a positive integer such that 1 ≤ p < infinity, referring to the parameter of the Rho_p and Delta_pq. By default, p is fixed to 2.
q	a decimal value between 0 and 1, referring to the parameter of the metric Delta_pq. By default, p is fixed to 0.5.
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.

Examples

mat <- matrix(c(2,2,1,1,2,2,2,2,2,2,2,2,2,2,2,1,1,1,1,2,3,4,4,3,1,2,5,4,4,3),ncol=3)
data <- data.frame(mat)
MF131 <- TrapezoidalFuzzyNumber(0,1,1,2)
MF132 <- TrapezoidalFuzzyNumber(1,2,2,3)
MF133 <- TrapezoidalFuzzyNumber(2,3,3,4)
MF134 <- TrapezoidalFuzzyNumber(3,4,4,5)
MF135 <- TrapezoidalFuzzyNumber(4,5,5,6)
PA13 <- c(1,2,3,4,5); mi <- 1; si <- 3
Yfuzz <- FUZZ(data,1,3,PA13)
attach(data)
formula <- X3 ~ X1 + X2
res <- FMANOVA(formula, data, Yfuzz, method = "distance", distance.type = "wabl")
detach(data)

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