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\arguments{
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32 |
\arguments{
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\item{x}{an object, the default method expects a single numerical
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\item{x}{an object, the default method expects a single numerical
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variable (or an object coercible to this).}
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variable (or an object coercible to this).}
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\item{y}{a \code{"factor"} interpreted to be the dependent variable}
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\item{y}{a \code{"factor"} interpreted to be the dependent variable}
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\item{formula}{a \code{"formula"} of type \code{y ~ x} with a single dependent
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\item{formula}{a \code{"formula"} of type \code{y ~ x} with a single dependent
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\code{"factor"} and a single numerical explanatory variable.}
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\code{"factor"} and a single numerical explanatory variable.}
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\item{data}{an optional data frame.}
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\item{data}{an optional data frame.}
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\item{plot}{logical. Should the computed conditional densities be plotted?}
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\item{plot}{logical. Should the computed conditional densities be plotted?}
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\item{tol.ylab}{convenience tolerance parameter for y-axis annotation.
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\item{tol.ylab}{convenience tolerance parameter for y-axis annotation.
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If the distance between two labels drops under this threshold, they are
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If the distance between two labels drops under this threshold, they are
|
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plotted equidistantly.}
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plotted equidistantly.}
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\item{ylevels}{a character or numeric vector specifying in which order
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43 |
\item{ylevels}{a character or numeric vector specifying in which order
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the levels of the dependent variable should be plotted.}
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the levels of the dependent variable should be plotted.}
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\item{bw, n, from, to, \dots}{arguments passed to \code{\link{density}}}
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\item{bw, n, from, to, \dots}{arguments passed to \code{\link{density}}}
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\item{col}{a vector of fill colors of the same length as \code{levels(y)}.
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\item{col}{a vector of fill colors of the same length as \code{levels(y)}.
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The default is to call \code{\link{gray.colors}}.}
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The default is to call \code{\link{gray.colors}}.}
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\item{border}{border color of shaded polygons.}
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48 |
\item{border}{border color of shaded polygons.}
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| 49 |
\item{main, xlab, ylab}{character strings for annotation}
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\item{main, xlab, ylab}{character strings for annotation}
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\item{yaxlabels}{character vector for annotation of y axis, defaults to
|
50 |
\item{yaxlabels}{character vector for annotation of y axis, defaults to
|
| 51 |
\code{levels(y)}.}
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\code{levels(y)}.}
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| 52 |
\item{xlim, ylim}{the range of x and y values with sensible defaults.}
|
52 |
\item{xlim, ylim}{the range of x and y values with sensible defaults.}
|
| 53 |
\item{subset}{an optional vector specifying a subset of observations
|
53 |
\item{subset}{an optional vector specifying a subset of observations
|
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60 |
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| 61 |
This visualization technique is similar to spinograms (see \code{\link{spineplot}})
|
61 |
This visualization technique is similar to spinograms (see \code{\link{spineplot}})
|
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and plots \eqn{P(y | x)} against \eqn{x}. The conditional probabilities
|
62 |
and plots \eqn{P(y | x)} against \eqn{x}. The conditional probabilities
|
| 63 |
are not derived by discretization (as in the spinogram), but using a smoothing
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63 |
are not derived by discretization (as in the spinogram), but using a smoothing
|
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approach via \code{\link{density}}.
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64 |
approach via \code{\link{density}}.
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|
65 |
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| 66 |
Note, that the estimates of the conditional densities are more reliable for
|
66 |
Note, that the estimates of the conditional densities are more reliable for
|
| 67 |
high-density regions of \eqn{x}. Conversely, the are less reliable in regions
|
67 |
high-density regions of \eqn{x}. Conversely, the are less reliable in regions
|
| 68 |
with only few \eqn{x} observations.
|
68 |
with only few \eqn{x} observations.
|
| 69 |
}
|
69 |
}
|
| 70 |
\value{
|
70 |
\value{
|
| 71 |
The conditional density functions (cumulative over the levels of \code{y})
|
71 |
The conditional density functions (cumulative over the levels of \code{y})
|
The R Project SVN
R