pruns.exact | R Documentation |
This function calculates the exact cumulative conditional distribution of the Wald-Wolfowitz runs.
pruns.exact(r, n1, n2, tail = c("2-sided", "lower", "upper"))
r |
Number of runs observed. |
n1 |
Number of +1 items in the sequence. |
n2 |
Number of -1 items in the sequence. |
tail |
Tail of the cumulative distribution function. |
Numeric value of the cumulative distribution function according to the chosen tail.
The 2-sided exact p-value is defined as P(abs(R-E(R)>=abs(r-E(R)).
The lower (left) tail p-value is defined as P(R<=r).
The upper (right) tail p-value is defined as P(R>=r).
r is the observed value of the random variable R.
D. Labes
# SPSS "Exact Tests": small sample example, exact p: 0.071
# x <- c(1, 1, 1, 1, 0, 0, 0, 0, 1, 1)
pruns.exact(r=3, n1=4, n2=6)
# 0.07142857
# left tail P(R<=3)=0.04761905
pruns.exact(r=3, n1=4, n2=6, tail="lower")
# right tail P(R>=3)=0.9904762
pruns.exact(r=3, n1=4, n2=6, tail="upper")
# or via runs.pvalue (2-sided)
x <- c(1, 1, 1, 1, 0, 0, 0, 0, 1, 1)
runs.pvalue(x, pmethod="ex")
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