adjboxStats | R Documentation |
Computes the “statistics” for producing boxplots adjusted for
skewed distributions as proposed in Hubert and Vandervieren (2008),
see adjbox
.
adjboxStats(x, coef = 1.5, a = -4, b = 3, do.conf = TRUE, do.out = TRUE,
...)
x |
a numeric vector for which adjusted boxplot statistics are computed. |
coef |
number determining how far ‘whiskers’ extend out
from the box, see |
a , b |
scaling factors multiplied by the medcouple
|
do.conf , do.out |
logicals; if |
... |
further optional arguments to be passed to
|
Given the quartiles Q_1
, Q_3
, the interquartile
range \Delta Q := Q_3 - Q_1
, and the medcouple
M :=
mc(x)
, c =
coef
,
the “fence” is defined,
for M \ge 0
as
[Q_1 - c e^{a \cdot M}\Delta Q, Q_3 + c e^{b \cdot M}\Delta Q],%
and for M < 0
as
[Q_1 - c e^{-b \cdot M}\Delta Q, Q_3 + c e^{-a \cdot M}\Delta Q],%
and all observations x
outside the fence, the “potential
outliers”, are returned in out
.
Note that a typo in robustbase version up to 0.7-8, for the (rare left-skewed) case where mc(x) < 0, lead to a “fence” not wide enough in the upper part, and hence less outliers there.
A list
with the components
stats |
a vector of length 5, containing the extreme of the lower whisker, the lower hinge, the median, the upper hinge and the extreme of the upper whisker. |
n |
the number of observations |
conf |
the lower and upper extremes of the ‘notch’
( |
fence |
length 2 vector of interval boundaries which define the non-outliers, and hence the whiskers of the plot. |
out |
the values of any data points which lie beyond the fence, and hence beyond the extremes of the whiskers. |
The code only slightly modifies the code of R's
boxplot.stats
.
R Core Development Team (boxplot.stats
); adapted
by Tobias Verbeke and Martin Maechler.
adjbox()
, also for references,
the function which mainly uses this one;
further boxplot.stats
.
data(condroz)
adjboxStats(ccA <- condroz[,"Ca"])
adjboxStats(ccA, doReflect = TRUE)# small difference in fence
## Test reflection invariance [was not ok, up to and including robustbase_0.7-8]
a1 <- adjboxStats( ccA, doReflect = TRUE)
a2 <- adjboxStats(-ccA, doReflect = TRUE)
nm1 <- c("stats", "conf", "fence")
stopifnot(all.equal( a1[nm1],
lapply(a2[nm1], function(u) rev(-u))),
all.equal(a1[["out"]], -a2[["out"]]))
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