ci.test  R Documentation 
Perform an independence or a conditional independence test.
ci.test(x, y, z, data, test, B, debug = FALSE)
x 
a character string (the name of a variable), a data frame, a numeric vector or a factor object. 
y 
a character string (the name of another variable), a numeric vector or a factor object. 
z 
a vector of character strings (the names of the conditioning
variables), a numeric vector, a factor object or a data frame. If

data 
a data frame containing the variables to be tested. 
test 
a character string, the label of the conditional independence
test to be used in the algorithm. If none is specified, the default test
statistic is the mutual information for categorical variables, the
JonckheereTerpstra test for ordered factors and the linear
correlation for continuous variables. See 
B 
a positive integer, the number of permutations considered for each
permutation test. It will be ignored with a warning if the conditional
independence test specified by the 
debug 
a boolean value. If 
An object of class htest
containing the following components:
statistic 
the value the test statistic. 
parameter 
the degrees of freedom of the approximate chisquared or t distribution of the test statistic; the number of permutations computed by Monte Carlo tests. Semiparametric tests have both. 
p.value 
the pvalue for the test. 
method 
a character string indicating the type of test performed, and whether Monte Carlo simulation or continuity correction was used. 
data.name 
a character string giving the name(s) of the data. 
null.value 
the value of the test statistic under the null hypothesis, always 0. 
alternative 
a character string describing the alternative hypothesis. 
Marco Scutari
independence tests
, arc.strength
.
data(gaussian.test)
data(learning.test)
# using a data frame and column labels.
ci.test(x = "F" , y = "B", z = c("C", "D"), data = gaussian.test)
# using a data frame.
ci.test(gaussian.test)
# using factor objects.
attach(learning.test)
ci.test(x = F , y = B, z = data.frame(C, D))
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