PermutationR (version 0.1.0)

permuANOVA: permuANOVA

Description

Conducts permutational one-way and two-way ANOVAs. This code has been modified from Howell D. (2015)

Usage

permuANOVA(y,x,z, perm.type="unrestricted", reps=5000)

Arguments

y

Dependent variable, numeric vector

x

Independent variable, integer vector or factor up to 10 levels

z

(Optional) Independent variable, integer vector or factor up to 10 levels

perm.type

(Optional) Method of permutation for two-way designs. Either "unrestricted" or "restricted". Default is "unrestricted"

reps

Number of permutations, default is 5000.

Value

For two-way designs: returns a data-frame containing p-values from permutation test for "Variable_x", "Variable_z" and interaction "x:z" For one-way designs: returns a data-frame containing p-values from permutation test for "Variable_x" only.

Details

"unrestricted" computes main effect permutations in an unrestricted fashion; "restricted" restricts main effect permutations within levels of the other independent variable. In both cases, the interaction is computed in an unrestricted fashion

References

Howell D. (2015). Permutation Tests for Factorial ANOVA Designs. Retrieved from: <https://www.uvm.edu/~statdhtx/StatPages/Permutation%20Anova/PermTestsAnova.html>

See Also

Package permuco function aovperm() and Package RVAideMemoire function perm.anova()

Examples

# NOT RUN {
Data <- ToothGrowth
attach(ToothGrowth)
permuANOVA(y = len, x = supp, reps=99)

permuANOVA(y=len,x=supp,z=dose, perm.type="unrestricted", reps=99)

permuANOVA(y=len,x=supp,z=dose, perm.type="restricted", reps=99)

# }