profile.discrim(sensR)
profile.discrim()所属R语言包：sensR
Profile likelihood and confidence interval methods for discrim
个人资料的可能性和置信区间为判别分析方法
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 discrimination test, plots the normalized profile likelihood.
计算（正火或相对的）配置文件的参数的歧视测试，图归个人资料的可能性的可能性。
用法----------Usage----------
## S3 method for class 'discrim'
profile(fitted, ...)
## S3 method for class 'profile.discrim'
plot(x, level = c(0.99, 0.95), fig = TRUE,
method = "natural", n = 1e3, ...)
## S3 method for class 'discrim'
confint(object, parm, level = 0.95, ...)
参数----------Arguments----------
参数：fitted
a discrim object
discrim对象
参数：x
a profile.discrim object
profile.discrim对象
参数：object
a discrim object
discrim对象
参数：parm
currently not used
目前未使用
参数：method
the type of spline to be used in approximating the profile likelhood curve (trace)—se spline for details
在近似的的更新likelhood曲线（痕量）本身spline的详细信息，可以使用的类型的花键
参数：n
the number of spline interpolations to use in plotting the profile likelihood curve (trace)
数的样条插补使用策划的档案可能性曲线（跟踪）
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：在哪一级来计算的置信区间
参数：fig
logical: should the normalized profile likelihoods be plotted?
逻辑：应绘制标准化轮廓似然？
参数：...
For plot: additional arguments to plot. Otherwise not used.
对于plot：其他参数plot。否则不使用。
Details
详细信息----------Details----------
confint returns the confidence interval computed in discrim possibly at another level. The statistic used to compute the confidence interval is therefore determined in the discrim call and may not be the likelihood root.
confint返回的置信区间计算discrim可能在另一个层面。因此，用于计算的置信区间的统计确定在discrim呼叫的可能性可能不是根。
The likelihood profile is extracted from the discrim object fitted with statistic = "likelihood".
从discrim对象配备statistic = "likelihood"的可能性配置文件中提取。
值----------Value----------
For profile: An object of class "profile.discrim", "data.frame"—a data.frame with two columns giving the value of the parameter and the corresponding value of the profile likelihood.
对于profile：类的一个对象"profile.discrim", "data.frame" - data.frame有两列给出的参数值和相应的配置文件的可能性。
For plot: The profile object is returned invisibly.
对于plot：返回Profile对象是看不见的。
For confint:
对于confint：
A 3x2 matrix with columns named "lower", "upper" giving the lower and upper (100 * level)% confidence interval for the parameters named in the rows.
一个3x2矩阵的列名为"lower", "upper"给的下限和上限（100 *level％的置信区间）行中的参数命名。
（作者）----------Author(s)----------
Rune Haubo B Christensen and Per Bruun Brockhoff
参考文献----------References----------
models for sensory discrimination tests as generalized linear models.
参见----------See Also----------
discrim
discrim
实例----------Examples----------
## 7 success out of 10 samples in a duo-trio experiment:[第7的10个样品的二重奏，三重奏实验的成功：]
(dd <- discrim(7, 10, method = "duotrio", statistic = "likelihood"))
confint(dd)
plot(profile(dd))
points(confint(dd)[3,], rep(.1465, 2), pch = 3, cex = 2, lwd=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 2012-9-30 01:07:51
