pcor.test: Test for zero partial association
In ggm: Graphical Markov Models with Mixed Graphs
pcor.test 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 pcor.
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
pcor, shipley.test
Examples
## Are 2,3 independent given 1?
data(marks)
pcor.test(pcor(c(2,3,1), var(marks)), 1, n=88)
ggm documentation built on May 29, 2024, 7:27 a.m.
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| pcor.test | 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
pcor, shipley.test
Examples
## Are 2,3 independent given 1?
data(marks)
pcor.test(pcor(c(2,3,1), var(marks)), 1, n=88)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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