Description Usage Arguments Value See Also Examples
This function is an extension of SimAnova
, which takes an output object from
a simulation, as well as a vector for the design factors and outcome measures. If
there is only one design factor, then the result is a dataframe with rows pertaining
to each outcome measure. If there is more than one design factor, this function
automatically conducts a full-factorial design, and outputs a list with elements
corresponding to each main and interaction effect.
1 | SimAnovaMV(data, terms, responses)
|
data |
A |
terms |
A |
responses |
A |
A data.frame
or list
object.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ## Not run:
data(Brown1974) # 3 design factors, 6 response variables
TypeI <- subset(Brown1974, var_ratio == 1)
Power <- subset(Brown1974, var_ratio != 1)
tvals <- c("distribution")
rvals <- c("F", "Jacknife", "Layard", "Levene", "W10", "W50")
SimAnovaMV(data = TypeI, terms = tvals, responses = rvals)
SimAnovaMV(data = Power, terms = tvals, responses = rvals)
data(tsimresults) # 3 design factors, 2 response variables
tvals <- c("group_size_ratio", "standard_deviation_ratio")
rvals <- c("lessthan.05.welch", "lessthan.05.independent")
SimAnovaMV(data = tsimresults, terms = tvals, responses = rvals)
## End(Not run)
|
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