R: Class IData

IData-class {MAINT.Data}

R Documentation

Class IData

Description

A data-array of interval-valued data is an array where each of the NObs rows, corresponding to each entity under analysis, contains the observed intervals of the NIVar descriptive variables.

Slots

MidP:: A data-frame of the midpoints of the observed intervals
LogR:: A data-frame of the logarithms of the ranges of the observed intervals
ObsNames:: An optional vector of names assigned to the individual observations.
VarNames:: An optional vector of names to be assigned to the Interval-valued Variables.
NObs:: Number of entities under analysis (cases)
NIVar:: Number of interval variables
NbMicroUnits:: An integer vector with the number of micro data units by interval-valued observation (or an empty vector, if not applicable)

Methods

show: signature(object = "IData"): show S4 method for the IData-class.
nrow: signature(x = "IData"): returns the number of statistical units (observations).
ncol: signature(x = "IData"): returns the number of of Interval-valued variables.
dim: signature(x = "IData"): returns a vector with the of number statistical units as first element, and the number of Interval-valued variables as second element.
rownames: signature(x = "IData"): returns the row (entity) names for an object of class IData.
colnames: signature(x = "IData"): returns column (variable) names for an object of class IData.
names: signature(x = "IData"): returns column (variable) names for an object of class IData.
MidPoints: signature(Sdt = "IData"): returns a data frame with MidPoints for an object of class IData.
LogRanges: signature(Sdt = "IData"): returns a data frame with LogRanges for an object of class IData.
Ranges: signature(Sdt = "IData"): returns an data frame with Ranges for an object of class IData.
NbMicroUnits: signature(Sdt = "IData"): returns an integer vector with the number of micro data units by interval-valued observation for an object of class IData.
head: signature(x = "IData"): head S4 method for the IData-class.
tail: signature(x = "IData"): tail S4 method for the IData-class.
plot: signature(x = "IData"): plot S4 methods for the IData-class.
mle: signature(x = "IData"): Maximum likelihood estimation.
fasttle: signature(x = "IData"): Fast trimmed maximum likelihood estimation.
fulltle: signature(x = "IData"): Exact trimmed maximum likelihood estimation.
RobMxtDEst: signature(x = "IData"): Robust estimation of distribution mixtures for interval-valued data.
MANOVA: signature(x = "IData"): MANOVA tests on the interval-valued data.
lda: signature(x = "IData"): Linear Discriminant Analysis using maximum likelihood parameter estimates of Gaussian mixtures.
qda: signature(x = "IData"): Quadratic Discriminant Analysis using maximum likelihood parameter estimates of Gaussian mixtures.
Roblda: signature(x = "IData"): Linear Discriminant Analysis using robust estimates of location and scatter.
Robqda: signature(x = "IData"): Quadratic Discriminant Analysis using robust estimates of location and scatter.
snda: signature(x = "IData"): Discriminant Analysis using maximum likelihood parameter estimates of SkewNormal mixtures.

Author(s)

Pedro Duarte Silva <psilva@porto.ucp.pt>
Paula Brito <mpbrito.fep.up.pt>

References

Azzalini, A. and Dalla Valle, A. (1996), The multivariate skew-normal distribution. Biometrika 83(4), 715–726.

Brito, P., Duarte Silva, A. P. (2012), Modelling Interval Data with Normal and Skew-Normal Distributions. Journal of Applied Statistics 39(1), 3–20.

Duarte Silva, A.P., Filzmoser, P. and Brito, P. (2017), Outlier detection in interval data. Advances in Data Analysis and Classification, 1–38.