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\method{cdplot}{default}(x, y,
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\method{cdplot}{default}(x, y,
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  plot = TRUE, tol.ylab = 0.05, ylevels = NULL,
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  plot = TRUE, tol.ylab = 0.05, ylevels = NULL,
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  bw = "nrd0", n = 512, from = NULL, to = NULL,
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  bw = "nrd0", n = 512, from = NULL, to = NULL,
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  col = NULL, border = 1, main = "", xlab = NULL, ylab = NULL,
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  col = NULL, border = 1, main = "", xlab = NULL, ylab = NULL,
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  yaxlabels = NULL, xlim = NULL, ylim = c(0, 1), \dots)
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  yaxlabels = NULL, xlim = NULL, ylim = c(0, 1), weights = NULL, \dots)
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\method{cdplot}{formula}(formula, data = list(),
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\method{cdplot}{formula}(formula, data = list(),
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  plot = TRUE, tol.ylab = 0.05, ylevels = NULL,
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  plot = TRUE, tol.ylab = 0.05, ylevels = NULL,
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  bw = "nrd0", n = 512, from = NULL, to = NULL,
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  bw = "nrd0", n = 512, from = NULL, to = NULL,
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  col = NULL, border = 1, main = "", xlab = NULL, ylab = NULL,
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  col = NULL, border = 1, main = "", xlab = NULL, ylab = NULL,
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  yaxlabels = NULL, xlim = NULL, ylim = c(0, 1), \dots,
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  yaxlabels = NULL, xlim = NULL, ylim = c(0, 1), \dots,
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  subset = NULL)
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  subset = NULL, weights = NULL)
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}
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}
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\arguments{
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\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{yaxlabels}{character vector for annotation of y axis, defaults to
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  \item{yaxlabels}{character vector for annotation of y axis, defaults to
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    \code{levels(y)}.}
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    \code{levels(y)}.}
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  \item{xlim, ylim}{the range of x and y values with sensible defaults.}
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  \item{xlim, ylim}{the range of x and y values with sensible defaults.}
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  \item{subset}{an optional vector specifying a subset of observations
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  \item{subset}{an optional vector specifying a subset of observations
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    to be used for plotting.}
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    to be used for plotting.}
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  \item{weights}{numeric. A vector of frequency weights for each
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    observation in the data. If \code{NULL} all weights are implicitly
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    assumed to be 1.}
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}
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}
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\details{
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\details{
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  \code{cdplot} computes the conditional densities of \code{x} given
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  \code{cdplot} computes the conditional densities of \code{x} given
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  the levels of \code{y} weighted by the marginal distribution of \code{y}.
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  the levels of \code{y} weighted by the marginal distribution of \code{y}.
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  The densities are derived cumulatively over the levels of \code{y}.
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  The densities are derived cumulatively over the levels of \code{y}.