fwdmvCovariancePlot {Rfwdmv} | R Documentation |
Plots the elements of the covariance matrix of each group against the subset size.
fwdmvCovariancePlot(x, id = FALSE, psfrag.labels = FALSE)
x |
an fwdmv object. |
id |
a logical value. If TRUE then the curves in the plot can be identified interactively with the mouse. Alternatively, id = "all" will identify all of the curves in the plot. |
psfrag.labels |
a logical value. If TRUE then the x, y, and main labels are set to "xlab", "ylab", and "main" for replacement via the psfrag utility. |
a list is invisibly returned. If id = TRUE
then the list has an element named selected
containing the identified curves. The curves are identified by their column index in the fwdmv object. If there is more than one group then the numbers 1 through p are for the first group, p+1 through 2p for the second group and so on.
Kjell Konis
Atkinson, A. C., Riani, M. and Cerioli, A. (2004) Exploring Multivariate Data with the Forward Search. Springer-Verlag New York.
data(fondi.dat) g1 <- c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 53, 55, 56) g2 <- c(57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103) fondi.fwdmv <- fwdmv(fondi.dat, groups = list(g1, g2)) fwdmvCovariancePlot(fondi.fwdmv) fwdmvCovariancePlot(fondi.fwdmv, id = "all") # Use 'id = TRUE' for interactive curve labels.