icensBKL (version 1.5)

icbiplot: Interval-censored biplot

Description

Principal Component Analysis for interval-censored data as described in Cecere, Groenen and Lesaffre (2013).

Usage

icbiplot(L, R, p = 2, MaxIter = 10000, tol = 1e-06, plotit = TRUE, seed = NULL, ...)

Value

Returns a list with the following components

X

matrix of number of individuals times 2 (p) with coordinates representing the individuals

Y

matrix of number of variables times 2 (p) with coordinates representing the variables

H

matrix of number of individuals times number of variables with approximated events

DAF

Disperssion accounted for (DAF) index

FpV

matrix showing the fit per variable

iter

number of iterations performed

Arguments

L

Matrix of dimension number of individuals/samples by number of variables with left endpoints of observed intervals.

R

Matrix of dimension number of individuals/samples by number of variables with right endpoints of observed intervals.

p

Dimension of the solution. Default value is \(p = 2\).

MaxIter

Maximum number of iterations in the iterative minimazation algorithm

tol

Tolerance when convergence is declared

plotit

Logical value. Default equals TRUE. A biplot in dimension 2 is plotted.

seed

The seed for the random number generator. If NULL, current R system seed is used.

...

further arguments to be passed.

Author

Silvia Cecere, port into icensBKL by Arnošt Komárek

References

Cecere, S., Groenen, P. J. F., and Lesaffre, E. (2013). The interval-censored biplot. Journal of Computational and Graphical Statistics, 22(1), 123-134.

Examples

data("tandmob", package = "icensBKL")
Boys <- subset(tandmob, fGENDER=="boy")
L <- cbind(Boys$L14, Boys$L24, Boys$L34, Boys$L44)
R <- cbind(Boys$R14, Boys$R24, Boys$R34, Boys$R44)
L[is.na(L)] <- 0
R[is.na(R)] <- 20    ## 20 = infinity in this case

icb <- icbiplot(L, R, p = 2, MaxIter = 10000, tol = 1e-6,
                plotit = TRUE, seed = 12345)