R/FBplot.R

In musto101/wilcox_R: What the package does (short line)

FBplot <-
function(fit, x = NULL, method ='MBD', depth = NULL, plot = TRUE, 
    prob = 0.5, color = 6, outliercol = 2, barcol = 4, fullout = FALSE, 
    factor = 1.5, xlim = c(1, nrow(fit)), ylim = c(min(fit) - 
        0.5 * diff(range(fit)), max(fit) + 0.5 * diff(range(fit))), 
    ...){
#
# functional boxplot for functional data using
# method in Sun and Genton.
#
#
# fit is assumed to be an n-by-p matrix
# n= number of subjects
# p= number points where the function has been evaluated.
#
#  rows with missing values are automatically removed.
#
library(fda)
elimna(fit)
fit=t(fit)
res=fbplot(fit, x = NULL, method = method, depth = depth, plot = plot,
    prob =prob, color =color, outliercol =outliercol, barcol = barcol,
fullout = fullout,
    factor = factor, xlim =xlim, ylim = ylim, ...)
res
}