This function can be used to detect exceptionally high or low scores in a vector.

```
exceptionalScore(x, prob = 0.025, both = TRUE, silent = FALSE,
quantileCorrection = 1e-04, quantileType = 8)
```

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 1-`prob`

are
considered exceptional (if both is TRUE, at least). So, note that a `prob`

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 1-`prob`

, or whether to only consider values exceptional if
they're below `prob`

is `prob`

is < .5, or above `prob`

if
`prob`

> .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 right-skewed, 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`

.

A logical vector, indicating for each value in the supplied vector whether it is exceptional.

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.

```
# NOT RUN {
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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