exceptionalScores: exceptionalScores
In userfriendlyscience: Quantitative Analysis Made Accessible

Description Usage Arguments Value Author(s) See Also Examples

A function to detect participants that consistently respond exceptionally.

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exceptionalScores(dat, items = NULL, exception = 0.025, totalOnly = TRUE,
                  append = TRUE, both = TRUE, silent = FALSE,
                  suffix = "_isExceptional", totalVarName = "exceptionalScores")

`dat`	The dataframe containing the variables to inspect, or the vector to inspect (but for vectors, `exceptionalScore` might be more useful).
`items`	The names of the variables to inspect.
`exception`	When an item will be considered exceptional, passed on as `prob` to `exceptionalScore`.
`totalOnly`	Whether to return only the number of exceptional scores for each row in the dataframe, or for each inspected item, which values are exceptional.
`append`	Whether to return the supplied dataframe with the new variable(s) appended (if TRUE), or whether to only return the new variable(s) (if FALSE).
`both`	Whether to look for both low and high exceptional scores (TRUE) or not (FALSE; see `exceptionalScore`).
`silent`	Can be used to suppress messages.
`suffix`	If not returning the total number of exceptional values, for each inspected variable, a new variable is returned indicating which values are exceptional. The text string is appended to each original variable name to create the new variable names.
`totalVarName`	If returning only the total number of exceptional values, and appending these to the provided dataset, this text string is used as variable name.

Either a vector containing the number of exceptional values, a dataset containing, for each inspected variable, which values are exceptional, or the provided dataset where either the total or the exceptional values for each variable are appended.

Gjalt-Jorn Peters

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

exceptionalScore