This function calculates representative values of a vector, like minimum/maximum values or lower, median and upper quartile etc., which can be used for numeric vectors to plot adjusted predictions at these representative values.

## Arguments

- x
A numeric vector.

- values
Character vector, naming a pattern for which representative values should be calculcated.

`"minmax":`

(default) minimum and maximum values (lower and upper bounds) of the moderator are used to plot the interaction between independent variable and moderator.`"meansd"`

: uses the mean value of the moderator as well as one standard deviation below and above mean value to plot the effect of the moderator on the independent variable.`"zeromax"`

: is similar to the`"minmax"`

option, however,`0`

is always used as minimum value for the moderator. This may be useful for predictors that don't have an empirical zero-value, but absence of moderation should be simulated by using 0 as minimum.`"fivenum":`

calculates and uses the Tukey's five number summary (minimum, lower-hinge, median, upper-hinge, maximum) of the moderator value.`"quart"`

: calculates and uses the quartiles (lower, median and upper) of the moderator value,*including*minimum and maximum value.`"quart2"`

: calculates and uses the quartiles (lower, median and upper) of the moderator value,*excluding*minimum and maximum value.`"terciles"`

: calculates and uses the terciles (lower and upper third) of the moderator value,*including*minimum and maximum value.`"terciles2"`

: calculates and uses the terciles (lower and upper third) of the moderator value,*excluding*minimum and maximum value.an option to compute a range of percentiles is also possible, using

`"percentile"`

, followed by the percentage of the range. For example,`"percentile95"`

will calculate the 95% range of the variable.`"all"`

: uses all values of the moderator variable.