# 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 = 1e-04, 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 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`

.

##### 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

```
# 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);
# }
```

*Documentation reproduced from package userfriendlyscience, version 0.7.2, License: GPL (>= 3)*