A function to detect participants that consistently respond exceptionally.
exceptionalScores(dat, items = NULL, exception = 0.025, totalOnly = TRUE,
append = TRUE, both = TRUE, silent = FALSE,
suffix = "_isExceptional", totalVarName = "exceptionalScores")The dataframe containing the variables to inspect, or the vector to inspect
(but for vectors, exceptionalScore might be more useful).
The names of the variables to inspect.
When an item will be considered exceptional, passed on as prob to
exceptionalScore.
Whether to return only the number of exceptional scores for each row in the dataframe, or for each inspected item, which values are exceptional.
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).
Whether to look for both low and high exceptional scores (TRUE) or not (FALSE;
see exceptionalScore).
Can be used to suppress messages.
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.
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.
# NOT RUN {
exceptionalScores(mtcars)
# }
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