cd_plot(vcd)
cd_plot()所属R语言包：vcd
Conditional Density Plots
有条件的密度图
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Computes and plots conditional densities describing how the distribution of a categorical variable y changes over a numerical variable x.
计算和绘图的条件密度如何分布的一个分类变量y变化超过一个数值型变量x。
用法----------Usage----------
cd_plot(x, ...)
## Default S3 method:[默认方法]
cd_plot(x, y,
plot = TRUE, ylab_tol = 0.05,
bw = "nrd0", n = 512, from = NULL, to = NULL,
main = "", xlab = NULL, ylab = NULL, margins = c(5.1, 4.1, 4.1, 3.1),
gp = gpar(), name = "cd_plot", newpage = TRUE, pop = TRUE,
...)
## S3 method for class 'formula'[类formula的方法]
cd_plot(formula, data = list(),
plot = TRUE, ylab_tol = 0.05,
bw = "nrd0", n = 512, from = NULL, to = NULL,
main = "", xlab = NULL, ylab = NULL, margins = c(5.1, 4.1, 4.1, 3.1),
gp = gpar(), name = "cd_plot", newpage = TRUE, pop = TRUE,
...)
参数----------Arguments----------
参数：x
an object, the default method expects either a single numerical variable.
对象，默认的方法，希望一个单一的数值变量。
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.
一个"formula"类型的y ~ x一个单一的依赖"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。如果计算出的条件密度，绘制？
参数：ylab_tol
convenience tolerance parameter for y-axis annotation. If the distance between two labels drops under this threshold, they are plotted equidistantly.
y轴注解的便利性参数。如果两个标签之间的距离，根据该阈值下降，它们等距离地绘制。
参数：bw, n, from, to, ...
arguments passed to density
参数传递给density
参数：main, xlab, ylab
character strings for annotation
字符串注释
参数：margins
margins when calling plotViewport
利润时调用plotViewport
参数：gp
a "gpar" object controlling the grid graphical parameters of the rectangles. It should specify in particular a vector of fill colors of the same length as levels(y). The default is to call gray.colors.
一个"gpar"对象的矩形网格图形参数控制。它应该特别指定的向量fill颜色相同的长度levels(y)。默认值是调用“gray.colors。
参数：name
name of the plotting viewport.
绘制视口的名称。
参数：newpage
logical. Should grid.newpage be called before plotting?
逻辑。 grid.newpage被称为打印之前？
参数：pop
logical. Should the viewport created be popped?
逻辑。如果视口创建弹出？
Details
详细信息----------Details----------
cd_plot 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.
cd_plot计算的条件密度，x的水平y，加权的边际分布y。密度衍生累积y以上的水平。
This visualization technique is similar to spinograms (see spine) but they do not discretize the explanatory variable, but rather use a smoothing approach. Furthermore, the original x axis and not a distorted x axis (as for spinograms) is used. This typically results in conditional densities that are based on very few observations in the margins: hence, the estimates are less reliable there.
这个可视化技术是相似的spinograms（见spine），但他们不离散解释变量，而是使用平滑的方法。此外，使用的原始x轴，而不是一个扭曲的x轴（为spinograms）。这通常会导致条件的基础上的利润很少观测的密度，因此，估计是不可靠的。
值----------Value----------
The conditional density functions (cumulative over the levels of y) are returned invisibly.
有条件的密度函数（累计在各级y）回到看不见的。
（作者）----------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----------
spine, density
spine，density
实例----------Examples----------
## Arthritis data[＃关节炎数据]
data("Arthritis")
cd_plot(Improved ~ Age, data = Arthritis)
cd_plot(Improved ~ Age, data = Arthritis, bw = 3)
cd_plot(Improved ~ Age, data = Arthritis, bw = "SJ")
## compare with spinogram[＃与spinogram比较]
spine(Improved ~ Age, data = Arthritis, breaks = 3)
## Space shuttle data[＃航天飞机数据]
data("SpaceShuttle")
cd_plot(Fail ~ Temperature, data = SpaceShuttle, bw = 2)
## scatter plot with conditional density[＃散点图条件密度]
cdens <- cd_plot(Fail ~ Temperature, data = SpaceShuttle, bw = 2, plot = FALSE)
plot(I(-1 * (as.numeric(Fail) - 2)) ~ jitter(Temperature, factor = 2), data = SpaceShuttle,
xlab = "Temperature", ylab = "Failure")
lines(53:81, 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。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-10-1 14:46:30
