NSM3 (version 1.11)

pSkilMack: Skillings-Mack

Description

Function to compute the P-value for the observed Skillings-Mack SM statistic.

Usage

pSkilMack(x, b = NA, trt = NA, method = NA, n.mc = 10000)

Arguments

x

Either a matrix or a vector containing the data.

b

If x is a vector, b is a required vector of block labels. Otherwise, not used.

trt

If x is a vector, trt is a required vector of treatment labels. Otherwise, not used.

method

Either "Exact", "Monte Carlo" or "Asymptotic", indicating the desired distribution. When method=NA, "Exact" will be used if the number of permutations is 10,000 or less. Otherwise, "Monte Carlo" will be used.

n.mc

If method="Monte Carlo", the number of Monte Carlo samples used to estimate the distribution. Otherwise, not used.

Value

Returns a list with "NSM3Ch7p" class containing the following components:

k

number of treatments in the data

n

number of blocks in the data

ss

number of treatments per block

obs.stat

the observed D statistic

p.val

upper tail P-value

Details

The data entry is intended to be flexible, so that the data can be entered in either of two ways. The following are equivalent: pSkilMack(x=matrix(c(1,2,3,4,5,6),ncol=2,byrow=T)) pSkilMack(x=c(1,2,3,4,5,6),b=c(1,1,2,2,3,3),trt=c(1,2,1,2,1,2))

Examples

# NOT RUN {
##Hollander, Wolfe, Chicken Example 7.8 Effect of Rhythmicity of a Metronome on Speech Fluency
rhythmicity<-matrix(c(3, 5, 15, 1, 3, 18, 5, 4, 21, 2, NA, 6, 0, 2, 17, 0, 2, 10, 0, 3, 8,
0, 2, 13),ncol=3,byrow=TRUE)
#pSkilMack(rhythmicity)
pSkilMack(rhythmicity,n.mc=5000)
# }