cdplot(graphics)
cdplot()所属R语言包：graphics
Conditional Density Plots
条件密度图
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Computes and plots conditional densities describing how the conditional distribution of a categorical variable y changes over a numerical variable x.
计算和图形描述的条件密度如何分类变量y超过一个数值变量x变化的条件分布。
用法----------Usage----------
cdplot(x, ...)
## Default S3 method:[默认方法]
cdplot(x, y,
plot = TRUE, tol.ylab = 0.05, ylevels = NULL,
bw = "nrd0", n = 512, from = NULL, to = NULL,
col = NULL, border = 1, main = "", xlab = NULL, ylab = NULL,
yaxlabels = NULL, xlim = NULL, ylim = c(0, 1), ...)
## S3 method for class 'formula'[类formula的方法]
cdplot(formula, data = list(),
plot = TRUE, tol.ylab = 0.05, ylevels = NULL,
bw = "nrd0", n = 512, from = NULL, to = NULL,
col = NULL, border = 1, main = "", xlab = NULL, ylab = NULL,
yaxlabels = NULL, xlim = NULL, ylim = c(0, 1), ...,
subset = NULL)
参数----------Arguments----------
参数：x
an object, the default method expects a single numerical variable (or an object coercible to this).
一个对象，默认的方法，预计一个单一的数值变量（或对象强制转换本）。
参数：y
a "factor" interpreted to be the dependent variable
"factor"解释为因变量
参数：formula
a "formula" of type y ~ x with a single dependent "factor" and a single numerical explanatory variable.
"formula"的类型y ~ x单一依赖"factor"和一个单一的数值解释变量。
参数：data
an optional data frame.
一个可选的数据框。
参数：plot
logical. Should the computed conditional densities be plotted?
逻辑。如果有条件的计算密度绘制？
参数：tol.ylab
convenience tolerance parameter for y-axis annotation. If the distance between two labels drops under this threshold, they are plotted equidistantly.
Y轴标注方便性参数。如果两个标签之间的距离在此阈值下降，他们绘制等距。
参数：ylevels
a character or numeric vector specifying in which order the levels of the dependent variable should be plotted.
为了因变量水平指定的字符或数字向量应绘制。
参数：bw, n, from, to, ...
arguments passed to density
参数传递density
参数：col
a vector of fill colors of the same length as levels(y). The default is to call gray.colors.
填充颜色相同的长度为levels(y)向量。默认是调用gray.colors。
参数：border
border color of shaded polygons.
阴影多边形的边框颜色。
参数：main, xlab, ylab
character strings for annotation
注释字符串
参数：yaxlabels
character vector for annotation of y axis, defaults to levels(y).
特征向量为y轴的注释，默认levels(y)。
参数：xlim, ylim
the range of x and y values with sensible defaults.
合理的默认值x和y值的范围。
参数：subset
an optional vector specifying a subset of observations to be used for plotting.
指定一个可选的向量绘图观测的子集。
Details
详情----------Details----------
cdplot computes the conditional densities of x given the levels of y weighted by the marginal distribution of y. The densities are derived cumulatively over the levels of y.
cdplot计算的条件密度x水平，y加权边际由y的分布。累计超过y水平得到密度。
This visualization technique is similar to spinograms (see spineplot) and plots P(y | x) against x. The conditional probabilities are not derived by discretization (as in the spinogram), but using a smoothing approach via density.
这个可视化技术是相似到spinograms（见spineplot）和图P(y | x)对x。条件概率推导出离散（在spinogram），但通过density使用平滑的方法。
Note, that the estimates of the conditional densities are more reliable for high-density regions of x. Conversely, the are less reliable in regions with only few x observations.
注意，有条件的密度估计x高密度区域的更可靠的。相反，该区域只有少数x观测可靠。
值----------Value----------
The conditional density functions (cumulative over the levels of y) are returned invisibly.
有条件的密度函数（累积超过y）返回无形水平。
作者（S）----------Author(s)----------
Achim Zeileis <a href="mailto:Achim.Zeileis@R-project.org">Achim.Zeileis@R-project.org</a>
参考文献----------References----------
conditional distributions, Unpublished Manuscript.
参见----------See Also----------
spineplot, density
spineplot，density
举例----------Examples----------
## NASA space shuttle o-ring failures[＃美国宇航局航天飞机O形圈的失败]
fail <- factor(c(2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1,
1, 2, 1, 1, 1, 1, 1),
levels = 1:2, labels = c("no", "yes"))
temperature <- c(53, 57, 58, 63, 66, 67, 67, 67, 68, 69, 70, 70,
70, 70, 72, 73, 75, 75, 76, 76, 78, 79, 81)
## CD plot[＃光盘图]
cdplot(fail ~ temperature)
cdplot(fail ~ temperature, bw = 2)
cdplot(fail ~ temperature, bw = "SJ")
## compare with spinogram[＃与spinogram比较]
(spineplot(fail ~ temperature, breaks = 3))
## highlighting for failures[＃突出的故障]
cdplot(fail ~ temperature, ylevels = 2:1)
## scatter plot with conditional density[＃条件密度的散点图]
cdens <- cdplot(fail ~ temperature, plot = FALSE)
plot(I(as.numeric(fail) - 1) ~ jitter(temperature, factor = 2),
xlab = "Temperature", ylab = "Conditional failure probability")
lines(53:81, 1 - cdens[[1]](53:81), col = 2)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
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发表于 2012-2-16 17:48:35
