baymod(sdef)
baymod()所属R语言包：sdef
Bayesian model for the ratio of observed to expected probability of features to be in common
观察到预期功能的可能性是共同的比率贝叶斯模型
译者：生物统计家园网 机器人LoveR
描述----------Description----------
The function specifies a Bayesian model for the ratio of observed to expected probability of features to be in common. A multinomial distribution is specified on the probabilities of being significant in any combination of the experiments (e.g. if two experiments are considered, the probability of being significant in none, one and two experiments is specified) and a prior distribution is put on their parameters. The quantity of interest is the ratio of the probability that a feature is in common, to the probability that a feature is in common by chance, called R(h).
函数指定一个贝叶斯模型的比例观察到的功能，是共同的期望概率。甲指定实验的任何组合（例如，如果两个实验被认为是，在没有显着的概率，一个和两个实验指定）中显着被放置在它们的参数和先验分布的概率多项式分布。感兴趣的数量的比例的概率，一个特点是共同的，一个特征是共同的机会，称为R（小时）的概率。
用法----------Usage----------
baymod(output.ratio, iter = 1000, dir = getwd(), conf = 95)
参数----------Arguments----------
参数：output.ratio
The output object from the ratio function
The output object from the ratio function
参数：iter
Number of iterations to be performed
Number of iterations to be performed
参数：dir
Directory for storing the plots
Directory for storing the plots
参数：conf
Size of Confidence Interval
Size of Confidence Interval
Details
详细信息----------Details----------
It returns an object of class list with the ratio R(h) for each threshold and its quantiles specified by conf. R(h) is significant if its CI does not include 1. We consider two rules for selecting the list of genes of interest: 1) hmax is the maximum of Median(R(h)) only for the subset of credibility intervals which do not include 1; 2) h2 is the largest threshold where the number of features called in common at least doubles the number of features in common under independence (where R(h) larger than 2).
它返回一个对象的类列表中的每个阈值和其指定的机密位数的比值R（H）。 R（高）是显着的，如果不包括其CI 1。我们认为两个规则：1）列表中选择感兴趣的基因Hmax是最大的中位数（R（H））的子集的可信区间不包括1，2）H2的最大阈值数共同调用功能，至少根据独立性（式中，R（小时）大于2）共同的特征数目的两倍。
The function returns also a plot of the credibility interval for each threshold. The same plot is also saved in the directory specified by the user.
该函数返回一个图的可信区间为每个阈值。同样的图也被保存在用户指定的目录中。
值----------Value----------
A matrix and a plot with the quantiles of R(h) identified by conf for each p-value threshold.
矩阵和图conf对于每个p值阈值确定的R（H）位数。
（作者）----------Author(s)----------
Alberto Cassese, Marta Blangiardo
参考文献----------References----------
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 2012-9-29 23:27:34
