AmplitudeBoxplot(warp_median, alpha = 0.05, ka = 1, showplot = TRUE)
Value
Returns an ampbox object containing:
median_y: median function
Q1: First quartile
Q3: Second quartile
Q1a: First quantile based on alpha
Q3a: Second quantile based on alpha
minn: minimum extreme function
maxx: maximum extreme function
outlier_index: indexes of outlier functions
fmedian: median function
Arguments
warp_median
fdawarp object from time_warping of aligned data using
the median
alpha
quantile value (default=.05, i.e., 95%)
ka
scalar for outlier cutoff (default=1)
showplot
shows plots of functions (default = T)
References
Xie, W., S. Kurtek, K. Bharath, and Y. Sun (2016). "A geometric
approach to visualization of variability in functional data." Journal of
the American Statistical Association in press: 1-34.