Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/exceptionalScore.R

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

1 2 | ```
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 |

`both` |
Whether to consider values exceptional if they're below |

`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 |

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.

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

Gjalt-Jorn Peters

Maintainer: Gjalt-Jorn Peters <gjalt-jorn@userfriendlyscience.com>

1 | ```
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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