plot.sensitivity(sensitivityPStrat)
plot.sensitivity()所属R语言包：sensitivityPStrat
plots the results of calls to the sensitivity functions.
图的灵敏度函数的调用的结果。
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Functions used to plot the objects created by the sensitivityPStrat family of functions.
函数用于绘制由函数的sensitivityPStrat家庭的创建的对象。
用法----------Usage----------
## S3 method for class 'sensitivity.1.0d'
plot(x, xlim, ylim,
xlab = expression(beta), ylab = "ACE",
display = c("analytic", "bootstrap"),
ci.select = 1,
col = "black", line.col = col, point.col = col,
analytic.col = "red", analytic.line.col = analytic.col,
analytic.point.col = analytic.col,
bootstrap.col = "green", bootstrap.line.col = bootstrap.col,
bootstrap.point.col = bootstrap.col,
panel.last = NULL, type = "l", ...)
## S3 method for class 'sensitivity.2.0d'
plot(x, xlim, ylim, xlab = expression(beta[0]), ylab = expression(beta[1]),
display = c("analytic", "bootstrap"), col = c(gray(.9), gray(1), gray(.8)),
panel.last = NULL, ...)
## S3 method for class 'sensitivity.1.1d'
plot(x, xlim, ylim,
xlab = expression(beta), ylab = "SCE",
t.point, display = c("analytic", "bootstrap"),
col = "black", line.col = col, point.col = col,
analytic.col = "red", analytic.line.col = analytic.col,
analytic.point.col = analytic.col,
bootstrap.col = "green", bootstrap.line.col = bootstrap.col,
bootstrap.point.col = bootstrap.col,
panel.last = NULL, type = "l", ...)
参数----------Arguments----------
参数：x
sensitivity object
灵敏度对象
参数：t.point
the time point at which data to create the plot.
时间点的数据来创建的图。
参数：display
character vector. Controls which confidence interval to use plot.
特征向量。控制使用的置信区间图。
参数：ci.select
integer vector or all. Selects the confidence interval to be ploted. If set to all then all confidence intervals are plotted. Default value is 1.
整数向量或all。被ploted选择的置信区间。如果设置为all，那么所有的置信区间绘制。默认值是1。
参数：line.col
the color all the lines should be.
颜色的所有行。
参数：point.col
the color all the infinity points should be.
所有无穷远点的颜色。
参数：analytic.col
vector; the color of all of the analytic confidence interval markings. Value are recycled if more confidence intervals are selected then given color values.
向量;分析置信区间标志的所有的颜色。价值被回收，如果有更多的选择置信区间，然后给定的颜色值。
参数：analytic.line.col
vector;the color of all of the analytic confidence interval lines. Value are recycled if more confidence intervals are selected then given color values.
向量;置信区间分析线的所有的颜色。价值被回收，如果有更多的选择置信区间，然后给定的颜色值。
参数：analytic.point.col
vector; the color of all of the analytic confidence interval infinity points. Value are recycled if more confidence intervals are selected then given color values.
向量;置信区间分析无穷大的点的所有的颜色。价值被回收，如果有更多的选择置信区间，然后给定的颜色值。
参数：bootstrap.col
vector; the color of all of the bootstrap confidence interval markings. Value are recycled if more confidence intervals are selected then given color values.
向量;所有的自举置信区间标记的颜色。价值被回收，如果有更多的选择置信区间，然后给定的颜色值。
参数：bootstrap.line.col
vector; the color of all of the bootstrap confidence interval lines. Value are recycled if more confidence intervals are selected then given color values.
向量;所有自举置信区间线的颜色。价值被回收，如果有更多的选择置信区间，然后给定的颜色值。
参数：bootstrap.point.col
vector; the color of all of the bootstrap confidence interval infinity points. Value are recycled if more confidence intervals are selected then given color values.
向量;自举置信区间无穷远点的所有的颜色。价值被回收，如果有更多的选择置信区间，然后给定的颜色值。
参数：xlim, ylim, xlab, ylab, col, panel.last, type
see plot.default
看到plot.default
参数：...
arguments passed to plot.default
参数传递给plot.default
（作者）----------Author(s)----------
Charles Dupont <br>
Department of Biostatistics<br>
Vanderbilt University<br>
参见----------See Also----------
plot.default
plot.default
实例----------Examples----------
data(vaccine.trial)
ansJR<-with(vaccine.trial,
sensitivityJR(z=treatment,s=hiv.outcome,y=logVL,
beta0=c(-1,-.75,-.5,-.25,0,.25,.5,.75,1),
beta1=c(-1,-.75,-.5,-.25,0,.25,.5,.75,1),
phi=c(0.95,0.90,0.80), selection="infected",
groupings=c("placebo","vaccine"),
N.boot=100)
)
plot(ansJR)
ans<-with(vaccine.trial,
sensitivityGBH(z=treatment,s=hiv.outcome,y=logVL,
beta=c(-Inf,-1,-0.75,-0.5,-0.25,0,.25,.5,.75,1,Inf),
selection="infected",
groupings=c("placebo","vaccine"),
empty.principal.stratum=c("not infected","infected"),
ci.method="bootstrap", ci=c(0.95, 0.9, 0.9),
ci.type=c("twoSided", "upper", "lower"),
custom.FUN=function(mu0, mu1, ...) mu1 - mu0,
N.boot=100, method=c("ACE", "T1", "T2"),
upperTest=TRUE, lowerTest=TRUE, twoSidedTest=TRUE)
)
plot(ans, ci.select="all", bootstrap.col=c("red","green","blue"))
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 2012-9-30 00:53:17
