removeExceptionalValues
removeExceptionalValues
A function to replace exceptional values with NA. This can be used to quickly remove impossible values, for example, when participants entered their age as 344.
- Keywords
- utilities
Usage
removeExceptionalValues(dat, items = NULL, exception = 0.005,
silent = FALSE, stringsAsFactors = FALSE)Arguments
- dat
The dataframe containing the items to inspect.
- items
The items to inspect.
- exception
How rare a value must be to be considered exceptional (and replaced by NA).
- silent
Can be used to suppress messages.
- stringsAsFactors
Whether to convert strings to factors when creating a dataframe from lapply output.
Details
Note that exceptional values may be errors (e.g. participants accidently
pressed a key twice, or during data entry, something went wrong), but they may
also be indicative of participants who did not seriously participate in the
study. Therefore, it is advised to first use exceptionalScores to
look for patterns where participants enter many exceptional scores.
Value
The dataframe, with exceptional values replaced by NA.
See Also
Examples
# NOT RUN {
removeExceptionalValues(mtcars, exception=.1);
# }