Learn R Programming
⚠️There's a newer version (0.3) of this package.Take me there.

Test environments

  • local OS X install, R 3.6.2
  • win-builder (devel and release)

R CMD check results

There were no ERRORs, WARNINGs or NOTEs.

Copy Link

Version

Install

install.packages('FuzzySTs')

Monthly Downloads

212

Version

0.2

License

MIT + file LICENSE

Maintainer

Redina Berkachy

Last Published

November 23rd, 2020

Functions in FuzzySTs (0.2)

FANOVA.exact

Computes a FANOVA model by an exact calculation
DSGD

Calculates a distance by the SGD between fuzzy numbers
D2

Calculates a distance by the D2 between fuzzy numbers
Defuzz.FANOVA

Defuzzify the fuzzy sums of squares calculated by a FANOVA model by an exact calculation or an approximation
FANOVA

Computes a FANOVA model by a convenient metric, an exact calculation or an approximation
Delta.pq

Calculates a distance by the d_Delta.pq between fuzzy numbers
DSGD.G

Calculates a distance by the d_DSGD.G between fuzzy numbers
Bertoluzza

Calculates a distance by the d_Bertoluzza between fuzzy numbers
FANOVA.distance

Computes a FANOVA model by a convenient metric
FANOVA.approximation

Computes a FANOVA model by an approximation
Fuzzy.exact.variance

Calculates the exact variance
FMANOVA.exact

Computes a Mult-FANOVA model by an exact calculation
FMANOVA.approximation

Computes a Mult-FANOVA model by an approximation
Fuzzy.sample.variance.approximation1

Fuzzy sample variance (approx) - method 1
FMANOVA

Computes a Mult-FANOVA model by a convenient metric, an exact calculation or an approximation
Fuzzy.sample.variance.approximation

Fuzzy sample variance (approx) - general
FANOVA.summary

Prints the summary of the estimation of a FANOVA metric-based model
FMANOVA.distance

Computes a Mult-FANOVA model by a convenient metric
Fuzzy.Difference

Calculates the difference between two fuzzy numbers
Fuzzy.Square

Calculates numerically the square of a fuzzy number
FMANOVA.interaction.summary

Prints the summary of the estimation of the interaction in a Mult-FANOVA metric-based model
Fuzzy.Square.poly.left

Gives the polynomial expression of the left alpha-levels of the numerical square of a fuzzy number
FUZZ

Fuzzifies a variable modelled by trapezoidal or triangular fuzzy numbers
Fuzzy.exact.variance.poly.left

Gives the polynomial forms of the numerical alpha-cuts modelling the exact variance
Fuzzy.p.value.mean

Computes the fuzzy p-value of a given fuzzy hypothesis test for the mean
Ftests

Calculates multiple tests corresponding to the fuzzy response variable
Fuzzy.CI.ML.test

Computes a fuzzy inference test by the fuzzy confidence intervals method calculated by the Likelihood method
GaussianFuzzyNumber

Creates a Gaussian fuzzy number
GLOB.EVAL

Calculates the global evaluation of a linguistic questionnaire
Fuzzy.exact.variance.poly.right

Gives the polynomial forms of the numerical alpha-cuts modelling the exact variance
Fuzzy.p.value

Computes the fuzzy p-value of a given fuzzy hypothesis test
IND.EVAL

Calculates the individual evaluations of a linguistic questionnaire
Moment

Calculates a central sample moment of a random fuzzy variable
Fuzzy.sample.mean

Calculates the fuzzy sample mean
R

Calculates the indicator of information's rate of the data base
Weighted.fuzzy.mean

Calculates the weighted fuzzy sample mean
GLOB.EVAL.mean

Calculates the weighted mean of the set of individual evaluations
Fuzzy.Square.poly.right

Gives the polynomial expression of the right alpha-levels of the numerical square of a fuzzy number
distance

Calculates a distance between fuzzy numbers
adjusted.weight.MI

Calculates the adjusted weight for a given main-item of a linguistic questionnaire
FMANOVA.summary

Prints the summary of the estimation of a Mult-FANOVA metric-based model
Fuzzy.sample.variance.approximation5

Fuzzy sample variance (approx) - method 5
Fuzzy.sample.variance.approximation4

Fuzzy sample variance (approx) - method 4
SEQ.ORDERING

Calculates the sequential sums of squares by a convenient metric
cube

Cube a number
SGD

Calculates a distance by the SGD between fuzzy numbers
fci.ml

Estimates a fuzzy confidence interval by the Likelihood method
FTukeyHSD

Calculates the Tukey HSD test corresponding to the fuzzy response variable
Rhop

Calculates a distance by the d_Rhop between fuzzy numbers
integrate.num

Numerical integration by a particular method
Kurtosis

Calculates the excess of kurtosis of a random fuzzy variable
Fuzzy.decisions.ML

Computes the fuzzy decisions of a fuzzy inference test by the fuzzy confidence intervals by the likelihood method
Ri

Calculates the indicator of information's rate of the data base for a given unit
Fuzzy.decisions

Computes the fuzzy decisions of a fuzzy inference test by the traditional fuzzy confidence intervals
Mid.Spr

Calculates a distance by the d_Mid.Spr between fuzzy numbers
int.t

Numerical integration - method 2
Fuzzy.CI.test

Computes a fuzzy inference test by the traditional fuzzy confidence intervals
int.ct

Numerical integration by the composite trapezoidal method - method 3
p.value.fisher

Calculates the p-value of fuzzy observations taken from a Fisher distribution
adjusted.weight.SI

Calculates the adjusted weight for a given sub-item of a linguistic questionnaire
boot.mean.algo1

Estimates the bootstrap distribution of the likelihood ratio LR by the Algorithm 1 using the mean
int.simpson

Numerical integration by the Simpson method - method 4
n_jkq.

Calculates the number of answers by a specific linguistic of a sub-item
n_jk..

Calculates the number of answers by a specific sub-item
Fuzzy.sample.variance.approximation2

Fuzzy sample variance (approx) - method 2
p.value.log

Calculates the p-value of fuzzy observations taken from a Logistic distribution
Fuzzy.sample.variance.approximation3

Fuzzy sample variance (approx) - method 3
GFUZZ

Fuzzifies a variable modelled by any type of fuzzy numbers
fci.ml.boot

Estimates a fuzzy confidence interval by the Likelihood method
wabl

Calculates a distance by the d_wabl between fuzzy numbers
Fuzzy.variance

Calculates the variance by a chosen method: distance, exact or approximation
Delta_jki

Calculates the factor Delta_jki
p.value.mean.Student

Calculates the p-value of fuzzy observations taken from a Student distribution for the mean
GSGD

Calculates a distance between fuzzy numbers
boot.mean.ml

Estimates the bootstrap distribution of the likelihood ratio LR by the Algorithm 1 or 2 using the mean
SEQ.ORDERING.EXACT

Calculates the sequential sums of squares by an exact calculation
SEQ.ORDERING.APPROXIMATION

Calculates the sequential sums of squares by an approximation
boot.mean.algo2

Estimates the bootstrap distribution of the likelihood ratio LR by the Algorithm 2 using the mean
GaussianBellFuzzyNumber

Creates a Gaussian two-sided bell fuzzy number
Rho1

Calculates a distance by the Rho1 between fuzzy numbers
fuzzy.predicted.values

Calculates the fuzzy predicted values
Rho2

Calculates a distance by the Rho2 between fuzzy numbers
p.value.mean.log

Calculates the p-value of fuzzy observations taken from a logistic distribution for the mean
is.balanced

Verifies if a design is balanced
is.alphacuts

Verifies if a matrix is set of left and right alpha-cuts
Skewness

Calculates the skewness of a random fuzzy variable
int.0

Numerical integration by the trivial method - method 1
fuzzy.residuals

Calculates the fuzzy residuals
Sample.variance

Calculates the sample variance by a convenient metric
is.fuzzification

Verifies if a matrix is a fuzzification matrix
nbreakpoints

Calculates the number of breakpoints of a numerical matrix of alpha-cuts
tr.gfuzz

Fuzzifies a variable modelled by trapezoidal or triangular fuzzy numbers
square

Square a number
is.trfuzzification

Verifies if a matrix is a fuzzification matrix of trapezoidal fuzzy numbers
p.value.Student

Calculates the p-value of fuzzy observations taken from a Student distribution
p.value.mean.poisson

Calculates the p-value of fuzzy observations taken from a Poisson distribution for the mean
p.value.mean.normal

Calculates the p-value of fuzzy observations taken from a normal distribution for the mean
p.value.poisson

Calculates the p-value of fuzzy observations taken from a Poisson distribution
p.value.normal

Calculates the p-value of fuzzy observations taken from a normal distribution