lines.saddle.distn(boot)
lines.saddle.distn()所属R语言包：boot
Add a Saddlepoint Approximation to a Plot
新增的鞍点逼近的图
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function adds a line corresponding to a saddlepoint density or distribution function approximation to the current plot.
此功能增加了一个线对应1的鞍密度或分布函数逼近当前的图。
用法----------Usage----------
## S3 method for class 'saddle.distn'
lines(x, dens = TRUE, h = function(u) u, J = function(u) 1,
npts = 50, lty = 1, ...)
参数----------Arguments----------
参数：x
An object of class "saddle.distn" (see saddle.distn.object representing a saddlepoint approximation to a distribution.
类对象"saddle.distn"（见saddle.distn.object代表一个鞍点近似分布。
参数：dens
A logical variable indicating whether the saddlepoint density (TRUE; the default) or the saddlepoint distribution function (FALSE) should be plotted.
鞍密度（是否TRUE;默认）或鞍点分布函数（FALSE）的应绘制一个逻辑变量。
参数：h
Any transformation of the variable that is required. Its first argument must be the value at which the approximation is being performed and the function must be vectorized.
任何变量的转变需要。其第一个参数必须是在逼近正在执行的功能，必须量化的价值。
参数：J
When dens=TRUE this function specifies the Jacobian for any transformation that may be necessary. The first argument of J must the value at which the approximation is being performed and the function must be vectorized. If h is supplied J must also be supplied and both must have the same argument list.
当dens=TRUE此功能指定的任何改造，这可能是必要的雅可比。第一个参数J必须逼近正在执行的功能，必须量化的价值。如果h提供J还必须提供，都必须具有相同的参数列表。
参数：npts
The number of points to be used for the plot. These points will be evenly spaced over the range of points used in finding the saddlepoint approximation.
图点的数量。将这些点均匀分布在范围内寻找鞍点逼近点。
参数：lty
The line type to be used.
要使用的线路类型。
参数：...
Any additional arguments to h and J.
任何额外的参数h和J。
Details
详情----------Details----------
The function uses smooth.spline to produce the saddlepoint curve. When dens=TRUE the spline is on the log scale and when dens=FALSE it is on the probit scale.
功能使用smooth.spline产生鞍点的曲线。当dens=TRUE样条日志规模和dens=FALSE它是概率规模。
值----------Value----------
sad.d is returned invisibly.
sad.d返回无形。
副作用----------Side Effects----------
A line is added to the current plot.
行被添加到当前的图。
参考文献----------References----------
Bootstrap Methods and Their Application. Cambridge University Press.
参见----------See Also----------
saddle.distn
saddle.distn
举例----------Examples----------
# In this example we show how a plot such as that in Figure 9.9 of[在这个例子中我们将展示如何如在图9.9中的图]
# Davison and Hinkley (1997) may be produced. Note the large number of[戴维森和欣克利（1997）可能会产生。注意：大量]
# bootstrap replicates required in this example.[在这个例子中需要引导重复。]
expdata <- rexp(12)
vfun <- function(d, i) {
n <- length(d)
(n-1)/n*var(d[i])
}
exp.boot <- boot(expdata,vfun, R = 9999)
exp.L <- (expdata - mean(expdata))^2 - exp.boot$t0
exp.tL <- linear.approx(exp.boot, L = exp.L)
hist(exp.tL, nclass = 50, probability = TRUE)
exp.t0 <- c(0, sqrt(var(exp.boot$t)))
exp.sp <- saddle.distn(A = exp.L/12,wdist = "m", t0 = exp.t0)
# The saddlepoint approximation in this case is to the density of[在这种情况下的鞍点逼近密度]
# t-t0 and so t0 must be added for the plot.[T-T0，因此T0必须添加的图。]
lines(exp.sp, h = function(u, t0) u+t0, J = function(u, t0) 1,
t0 = exp.boot$t0)
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。
|
发表于 2012-2-16 18:02:34
