varSel.highest.var(MCRestimate)
varSel.highest.var()所属R语言包：MCRestimate
Variable selection and cluster functions
变量的选择和聚类功能
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Different functions for a variable selection and clustering methods. These functions are mainly used for the function MCRestimate
变量的选择和聚类的方法不同的功能。这些功能主要用于功能MCRestimate
用法----------Usage----------
varSel.highest.t.stat(sample.gene.matrix,classfactor,theParameter=NULL,var.numbers=500,...)
varSel.highest.var(sample.gene.matrix,classfactor,theParameter=NULL,var.numbers=2000,...)
varSel.AUC(sample.gene.matrix, classfactor, theParameter=NULL,var.numbers=200,...)
cluster.kmeans.mean(sample.gene.matrix,classfactor,theParameter=NULL,number.clusters=500,...)
varSel.removeManyNA(sample.gene.matrix,classfactor, theParameter=NULL, NAthreshold=0.25,...)
varSel.impute.NA(sample.gene.matrix ,classfactor,theParameter=NULL,...)
参数----------Arguments----------
参数：sample.gene.matrix
a matrix in which the rows corresponds to genes and the colums corresponds to samples
在该行对应基因和colums的矩阵对应的样本
参数：classfactor
a factor containing the values that should be predicted
一个因素，包含应的预测值
参数：theParameter
Parameter that depends on the function. For 'cluster.kmeans.mean' either NULL or an output of the function kmeans. If it is NULL then kmeans will be used to form clusters of the genes. Otherwise the already existing clusters will be used. In both ways there will be a calculation of the metagene intensities afterwards. For the other functions either NULL or a logical vector which indicates for every gene if it should be left out from further analysis or not
在功能上取决于参数。对于cluster.kmeans.mean为NULL或输出功能kmeans。如果是NULL，那么kmeans将用于聚类形成的基因。否则，将被用于现有聚类。这两种方式会有事后的metagene强度计算。对于其他职能NULL或逻辑表示每一个基因的向量，如果应由从进一步的分析或
参数：number.clusters
parameter which specifies the number of clusters
参数指定数字聚类
参数：var.numbers
some methods needs an argument which specifies how many variables should be taken
有些方法需要一个参数指定应采取多少变数
参数：NAthreshold
integer- if the percentage of the NA is higher than this threshold the variable will be deleted
整数如果钠的比例高于此阈值的变量将被删除
参数：...
Further parameters
更多参数
Details
详情----------Details----------
metagene.kmeans.mean performs a kmeans clustering with a number of clusters specified by 'number clusters' and takes the mean of each cluster. varSel.highest.var selects a number (specified by 'var.numbers') of variables with the highest variance. varSel.AUC chooses the most discriminating variables due to the AUC criterium (the
metagene.kmeans.mean执行指定由“数字聚类”的聚类KMEANS聚类和需要，平均每个聚类。 varSel.highest.var选择一个具有最高的方差的变量的数量（var.numbers指定）。 varSel.AUC选择最挑剔的变量由于联合自卫军绕圈（
值----------Value----------
Every function returns a list consisting of two arguments:
每一个函数返回一个列表，包含两个参数：
参数：matrix
the result matrix of the variable reduction or the clustering
变量的减少或聚类结果矩阵
参数：parameter
The parameter which are used to reproduce the algorithm, i.e. a vector which indicates for every gene if it will be left out from further analysis or not if a gene reduction is performed or the output of the function kmeans for the clustering algorithm. </table>
这是用来重现算法的参数，即表示，如果将留待进一步分析每一个基因的向量或不执行或减少基因功能的输出KMEANS聚类算法。 </ TABLE>
作者（S）----------Author(s)----------
Markus Ruschhaupt <a href="mailto:m.ruschhaupt@dkfz.de">mailto:m.ruschhaupt@dkfz.de</a>
参见----------See Also----------
MCRestimate
MCRestimate
举例----------Examples----------
m <- matrix(c(rnorm(10,2,0.5),rnorm(10,4,0.5),rnorm(10,7,0.5),rnorm(10,2,0.5),rnorm(10,4,0.5),rnorm(10,2,0.5)),ncol=2)
cluster.kmeans.mean(m ,number.clusters=3)
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 2012-2-26 00:36:14
