pcor.test {ggm} | R Documentation |
Test for zero partial association
Description
Test for conditional independence between two variables, given the other ones, assuming a multivariate normal distribution.
Usage
pcor.test(r, q, n)
Arguments
r |
a partial correlation coefficient, computed by |
q |
the number of variables in the conditioning set. |
n |
integer > 0, the sample size. |
Value
tval |
The Student's t-test statistic. |
df |
The degrees of freedom |
pvalue |
The P-value, assuming a two-sided alternative. |
Author(s)
Giovanni M. Marchetti
See Also
Examples
## Are 2,3 independent given 1?
data(marks)
pcor.test(pcor(c(2,3,1), var(marks)), 1, n=88)
[Package ggm version 2.5.1 Index]