Description Usage Arguments Value
Generate sample data that is appropriate for the classical distributionfree tests
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | demo.WilcoxonMannWhitney(n = 100, groupmeans = c(0, 1),
force.balanced = FALSE)
demo.KruskalWallis(n = 100, groupmeans = c(0, 1, 2),
force.balanced = FALSE)
demo.MackSkillings(blockeffects = rnorm(4), groupmeans = c(0, 1, 2),
replications = 10, force.balanced = FALSE)
demo.JonckheereTerpstra(n = 100, groupmeans = c(0, 1, 2, 4),
force.balanced = FALSE)
demo.MackWolfe(n = 100, groupmeans = c(0, 1, 5, 2),
force.balanced = FALSE)
demo.BrownHettmansperger(n = 100, groupmeans = c(0, 1, 2),
force.balanced = FALSE)
|
n |
Number of observations |
groupmeans |
Means of normal outcome distribution for each group (note this implies the number of groups) |
force.balanced |
If |
blockeffects |
Effect of each block (note this implies the number of blocks) |
replications |
Number of replications per group/block combination |
a list holding the following items:
dta |
A |
n |
As passed in. |
groupmeans |
As passed in. |
For demo.MackSkillings
these additional items are present:
blocks |
Number of blocks. |
blockeffects |
(Random) effect of each specific block. |
treatments |
Number of groups in the predicting variable. |
tb1 |
|
tbmult |
Similar as |
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