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\item{subset}{an optional vector specifying a subset of observations
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34 |
\item{subset}{an optional vector specifying a subset of observations
|
| 35 |
to be used.}
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to be used.}
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\item{na.action}{a function which indicates what should happen when
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\item{na.action}{a function which indicates what should happen when
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the data contain \code{NA}s. Defaults to
|
37 |
the data contain \code{NA}s. Defaults to
|
| 38 |
\code{getOption("na.action")}.}
|
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\code{getOption("na.action")}.}
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\item{\dots}{further arguments to be passed to or from methods.}
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\item{\dots}{further arguments to be passed to or from methods.}
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}
|
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}
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\details{
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\details{
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If \code{x} is a list, its elements are taken as the samples to be
|
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If \code{x} is a list, its elements are taken as the samples to be
|
| 43 |
compared for homogeneity of variances, and hence have to be numeric
|
43 |
compared for homogeneity of variances, and hence have to be numeric
|
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data vectors. In this case, \code{g} is ignored, and one can simply
|
44 |
data vectors. In this case, \code{g} is ignored, and one can simply
|
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not yet contained in a list, use \code{fligner.test(list(x, ...))}.
|
46 |
not yet contained in a list, use \code{fligner.test(list(x, ...))}.
|
| 47 |
|
47 |
|
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Otherwise, \code{x} must be a numeric data vector, and \code{g} must
|
48 |
Otherwise, \code{x} must be a numeric data vector, and \code{g} must
|
| 49 |
be a vector or factor object of the same length as \code{x} giving the
|
49 |
be a vector or factor object of the same length as \code{x} giving the
|
| 50 |
group for the corresponding elements of \code{x}.
|
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group for the corresponding elements of \code{x}.
|
| 51 |
|
51 |
|
| 52 |
The Fligner-Killeen (median) test has been determined in a simulation
|
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The Fligner-Killeen (median) test has been determined in a simulation
|
| 53 |
study as one of the many tests for homogeneity of variances which is
|
53 |
study as one of the many tests for homogeneity of variances which is
|
| 54 |
most robust against departures from normality, see Conover, Johnson &
|
54 |
most robust against departures from normality, see Conover, Johnson &
|
| 55 |
Johnson (1981). It is a \eqn{k}-sample simple linear rank which uses
|
55 |
Johnson (1981). It is a \eqn{k}-sample simple linear rank which uses
|
| 56 |
the ranks of the absolute values of the centered samples and weights
|
56 |
the ranks of the absolute values of the centered samples and weights
|
The R Project SVN
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