exceptionalScore
exceptionalScore
This function can be used to detect exceptionally high or low scores in a vector.
 Keywords
 univariate
Usage
exceptionalScore(x, prob = 0.025, both = TRUE, silent = FALSE, quantileCorrection = 1e04, quantileType = 8)
Arguments
 x
 Vector in which to detect exceptional scores.
 prob

Probability that a score is exceptionally positive or negative; i.e. scores
with a quartile lower than
prob
or higher than 1prob
are considered exceptional (if both is TRUE, at least). So, note that aprob
of .025 means that if both=TRUE, the most exceptional 5% of the values is marked as such.  both

Whether to consider values exceptional if they're below
prob
as well as above 1prob
, or whether to only consider values exceptional if they're belowprob
isprob
is < .5, or aboveprob
ifprob
> .5.  silent
 Can be used to suppress messages.
 quantileCorrection
 By how much to correct the computed quantiles; this is used because when a distribution is very rightskewed, the lowest quantile is the lowest value, which is then also the mode; without subtracting a correction, almost all values would be marked as 'exceptional'.
 quantileType

The algorithm used to compute the quantiles; see
quantile
.
Details
Note that of course, by definition, prob
of 2*prob
percent of the
values is exceptional, so it is usually not a wise idea to remove scores based
on their 'exceptionalness'. Instead, use exceptionalScores
,
which calls this function, to see how often participants answered
exceptionally, and remove them based on that.
Value

A logical vector, indicating for each value in the supplied vector whether it
is exceptional.
See Also
Examples
exceptionalScore(c(1,1,2,2,2,3,3,3,4,4,4,5,5,5,5,6,6,7,8,20), prob=.05);
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