icbiplot | R Documentation |
Principal Component Analysis for interval-censored data as described in Cecere, Groenen and Lesaffre (2013).
icbiplot(L, R, p = 2, MaxIter = 10000, tol = 1e-06, plotit = TRUE, seed = NULL, ...)
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. |
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 |
Silvia Cecere, port into icensBKL by Arnošt Komárek arnost.komarek@mff.cuni.cz
Cecere, S., Groenen, P. J. F., and Lesaffre, E. (2013). The interval-censored biplot. Journal of Computational and Graphical Statistics, 22(1), 123-134.
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)
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