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ansari_test in package coin
for exact and approximate conditional p-values for the
Ansari-Bradley test, as well as different methods for handling ties. indicates the alternative hypothesis and must be
one of “two.
Nonparametric Statistical Methods.
Theory of Rank Tests.
fligner.

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int = TRUE. , Hajek,
Sidak and Sen (1999), pages 131ff, for more information. The
Ansari-Bradley test is used for testing the null that s equals
1, the two-sided alternative being that s != 1 (the
distributions differ only in variance), and the one-sided alternatives
being s 1 (the distribution underlying x has a larger
variance, “greater”) or s 1 (“less”). .

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frame) containing the variables in the
formula formula. further arguments to be passed to or from methods. If exact p-values are available, an exact
confidence check this is obtained by the algorithm described in Bauer
(1972), and the Hodges-Lehmann estimator is employed.
Jaroslav Hajek, Zbynek Sidak and Pranab K. confidence level of the interval.

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the string “Ansari-Bradley test”. numeric vector of data values.
David F. click over here confidence interval for the scale parameter. the ratio of scales s under the null, 1. an optional matrix or data frame (or similar: see
model.

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a function which indicates what should happen when
the data contain NAs. )To compare results of the Ansari-Bradley test to those of the F test
to compare two variances (under the assumption of normality), observe
that s is the ratio of scales and hence s^2 is the ratio
of variances (provided they exist), whereas for the F test the ratio
of variances itself is the parameter of interest. Suppose that x and y are independent samples from
distributions with densities f((t-m)/s)/s and f(t-m),
respectively, where m is an unknown nuisance parameter and
s, the ratio of scales, is the parameter of interest. test and bartlett.

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Constructing confidence sets using rank statistics. a formula of the form lhs ~ rhs where lhs
is a numeric variable giving the data values and rhs a factor
with two levels giving the corresponding groups.
Pages 83–92. test for a rank-based (nonparametric)
k-sample test for from this source of variances;
mood. test for parametric
tests for the homogeneity in variance. Performs the Ansari-Bradley two-sample test for a difference in scale
parameters.

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\Sexpr[results=rd,stage=build]{tools:::Rd_expr_doi(“10. )an estimate Get the facts the ratio of scales. Otherwise, the
returned confidence interval and point estimate are based on normal
approximations. 10481279″)}. test for another rank-based two-sample test for a
difference in scale parameters;
var.

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(Only present if argument conf.
Myles Hollander and Douglas A. Bauer (1972). a logical,indicating whether a confidence interval
should be computed.
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Note that mid-ranks are used in the case of ties rather than average
scores as employed in Hollander Wolfe (1973).

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g. See, e. 1972.
Journal of the American Statistical Association,
67, 687–690. 1080/01621459.
numeric vector of data values.

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a character string describing the alternative
hypothesis.
New York: John Wiley Sons. You
can specify just the initial letter. Sen (1999).
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San Diego, London: Academic Press.
Optionally, a nonparametric confidence interval and an estimator for
s are computed.
(Only present if argument conf.
By default (if exact is not specified), an exact p-value
is computed if both samples contain less than 50 finite values and
there are no ties.

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Defaults to
getOption(“na. a character string giving the names of the data. action”). Wolfe (1973). int = TRUE.

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Otherwise, a normal approximation is used. sided”, “greater” or “less”. a logical indicating whether an exact p-value
should be computed. In particular,
confidence intervals are for s in the Ansari-Bradley test but
for s^2 in the F test.

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A list with class “htest” containing the following components:
the value of the Ansari-Bradley test statistic. By default the variables are taken from
environment(formula). .