profile.samediff(sensR)
profile.samediff()所属R语言包：sensR
Profile likelihood methods for samediff objects.
个人资料的可能性方法为samediff对象。
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Computes the (normalized or relative) profile likelihood for the parameters of a same-different test, plots the normalized profile likelihood and computes profile likelihood confidence intervals.
计算（正火或相对的）配置文件可能为同一个不同的测试，绘制归个人资料的可能性的参数，并计算轮廓似然置信区间。
用法----------Usage----------
## S3 method for class 'samediff'
profile(fitted, which = 1:2, max = 2, numpts = 100,
max.delta = 10, max.tau = 10, ...)
## S3 method for class 'profile.samediff'
plot(x, which = 1:nc, level = c(0.99, 0.95),
fig = TRUE, ...)
## S3 method for class 'samediff'
confint(object, parm = c("tau", "delta"), level = 0.95, max = c(10, 10)
, ...)
参数----------Arguments----------
参数：fitted
a samediff object
samediff对象
参数：x
a profile.samediff object
profile.samediff对象
参数：object
a samediff object
samediff对象
参数：which
numeric: which parameters to profile or plot; either "1" or "2" or "1:2" to mean "tau", "delta" or both respectively.
数字的参数配置文件或图，无论是“1”或“2”或“1:2”的意思是“头”，“Delta”或两者分别。
参数：parm
the parameter(s) to compute the confidence interval for
参数（s）来计算的置信区间
参数：max
for profile: control parameter to specify how many units beyond the MLE, the profiling should proceed. For confint: control parameter, that can control the convergence for especially very large delta
profile：控制参数来指定多少个单位超出了最大似然估计，分析应继续进行。对于confint：控制参数，可以控制收敛，尤其是非常大的delta的
参数：numpts
control parameter: At how many points should the profile likelihood be evaluated?
控制参数：多少分的档案可能性进行评估？
参数：max.delta
control parameter: The maximum point at which to evaluate the profile likelihood for delta
控制参数：最高点的档案，以评估为Delta的可能性
参数：max.tau
same as max.delta for "tau".
相同max.delta“牛头”。
参数：level
for plot: At which levels to include horizontal lines to indicate confidence levels in plots of the normalized profile likelihoods. For confint: at which level to compute the confidence interval.
plot：在哪个级别，包括水平线来表示图的归一化轮廓似然置信水平。对于confint：在水平计算的置信区间。
参数：fig
logical: Should the normalized profile likelihoods be plotted?
逻辑：如果标准化轮廓似然绘制呢？
参数：...
not currently used.
当前未使用。
值----------Value----------
For profile: An object of class "profile.samediff", "data.frame"—a data.frame with two columns for each parameter profiled giving the value of the parameter and the corresponding value of the profile likelihood.
对于profile：类的一个对象"profile.samediff", "data.frame" - data.frame有两列的每个参数异形提供的参数值和相应的配置文件的可能性。
For plot: An object of class "nProfile.samediff", "data.frame"—the data.frame from the profile-object with extra columns corresponding to the which parameter containing the normalized profile liklelihood.
对于plot：一个类的对象，"nProfile.samediff", "data.frame" - data.frameprofile对象额外的列对应的which参数包含归个人资料liklelihood 。
For confint: A 2x2 matrix with columns named "lower", "upper" giving the lower and upper (1 - alpha)% confidence interval for the parameters named in the rows.
对于confint：一个2x2的矩阵列名为"lower", "upper"的下限和上限（1 - alpha％的置信区间）行中的参数命名。
（作者）----------Author(s)----------
Rune Haubo B Christensen
参见----------See Also----------
summary.samediff
summary.samediff
实例----------Examples----------
# data: 8 of the same samples were judged to be same[数据：8的相同的样本被判定为相同的]
# 5 of the same samples were judged to be different[5相同的样本被判定为不同的]
# 4 of the different samples were judged to be same[不同的样品4的被判定为相同的]
# 9 of the different samples were judged to be different[不同的样品9的被判定为不同的]
sadi <- samediff(8, 5, 4, 9)
confint(sadi)
plot(profile(sadi))
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 2012-9-30 01:07:56
