The function quantile.circular produces sample circular quantiles
corresponding to the given probabilities for a circular data set.
Usage
# S3 method for circular
quantile(x, probs = seq(0, 1, 0.25), na.rm=FALSE, names = TRUE, type = 7, ...)
Arguments
x
numeric circular vector whose sample quantiles are wanted. NA and NaN values are not
allowed in numeric vectors unless na.rm is TRUE.
probs
numeric vector of probabilities with values in
\([0,1]\). (Values up to 2e-14 outside that
range are accepted and moved to the nearby endpoint.)
na.rm
logical; if true, any NA and NaN's
are removed from x before the quantiles are computed.
names
logical; if true, the result has a names
attribute. Set to FALSE for speedup with many probs.
type
an integer between 1 and 9 selecting one of the
nine quantile algorithms detailed below to be used.
...
further arguments passed to or from other methods.
Like quantile and so on.
Types
See description on documentation of quantile.
Author
Claudio Agostinelli and Alessandro Gagliardi.
Details
A vector of length length(probs) is returned;
if names = TRUE, it has a names attribute.
NA and NaN values in probs are
propagated to the result.
The algorithm will proceed how described below:
1) Linearize the circular observations.
2) Calculate the linear median like type establish.
3) The value it will transformed in circular.