boot2fuzzy(hopach)
boot2fuzzy()所属R语言包：hopach
function to write MapleTree files for viewing bootstrap estimated cluster membership probabilities based on hopach clustering results
查看引导估计聚类成员概率函数写的丰树文件基础上hopach聚类结果
译者：生物统计家园网 机器人LoveR
描述----------Description----------
The MapleTree software (http://mapletree.sourceforge.net/) is an open source, cross-platform, visualization tool to graphically browse results of cluster analyses. The boot2fuzzy function takes a data matrix, plus corresponding hopach clustering output and bootstrap resampling output, and writes the (.cdt, .fct, and .mb) files needed to view these "fuzzy clustering" results in MapleTree.
丰树软件（http://mapletree.sourceforge.net/）的是一个开源，跨平台，可视化工具，以图形方式浏览聚类分析的结果。函数需要boot2fuzzy数据矩阵，加上相应的hopach聚类输出和bootstrap重采样输出，并写入（。CDT。FCT。MB）所需文件，以查看这些“模糊聚类”在丰树的结果。
用法----------Usage----------
boot2fuzzy(data, bootobj, hopach.genes, hopach.arrays = NULL,
file="hopach", clust.wts = NULL, gene.wts = NULL, array.wts = NULL,
gene.names = NULL)
参数----------Arguments----------
参数：data
data matrix, data frame or exprSet of gene expression measurements. Each column corresponds to an array, and each row corresponds to a gene. All values must be numeric. Missing values are ignored.
数据矩阵，基因表达测量的数据框或exprSet。每列对应一个数组，每一行对应一个基因。所有的值必须是数字。遗漏值将被忽略。
参数：bootobj
output of boothopach or bootmedoids applied to the genes - a matrix of bootstrap estimated cluster membership probabilities, with a row for each row in data and a column for each cluster.
boothopach或bootmedoids应用于基因 - data和每个聚类列的每一行的行引导估计聚类成员概率矩阵，输出。
参数：hopach.genes
output of the hopach function applied to genes (rows of data.
输出hopach应用于基因（data行的功能。
参数：hopach.arrays
optional output of the hopach function applied to arrays (columns of data.
应用到阵列（列hopachdata功能的可选输出。
参数：file
name for the output files (the extensions .cdt, .mb and .fct will be added).
输出文件（扩展名。CDT，MB和。FCT将增加）。
参数：clust.wts
an optional vector of numeric weights for the clusters.
可选的数字聚类权重向量。
参数：gene.wts
an optional vector of numeric weights for the genes.
数字基因重可选向量。
参数：array.wts
an optional vector of numeric weights for the arrays.
可选的数字阵列权重向量。
参数：gene.names
optional vector of names or annotations for the genes, which can be different from the row names of data
可选的名称或注释的基因向量，它可以是从data行名称不同
值----------Value----------
The function boot2fuzzy has no value. It writes three text files to the current working directory.
功能boot2fuzzy有没有价值。这三个文本文件写入到当前工作目录。
注意----------Note----------
Thank you to Lisa Simirenko <lsimirenko@lbl.gov> for providing HOPACH views in MapleTree, and to Karen Vranizan <vranizan@uclink.berkeley.edu> for her input. The MapleTree software can be downloaded from: http://sourceforge.net/projects/mapletree/
谢谢丽莎Simirenko <lsimirenko@lbl.gov>，提供丰树HOPACH的意见，并卡伦Vranizan <vranizan@uclink.berkeley.edu>的她输入。枫树软件可以下载：http://sourceforge.net/projects/mapletree/
作者（S）----------Author(s)----------
Katherine S. Pollard <kpollard@gladstone.ucsf.edu>
参考文献----------References----------
参见----------See Also----------
hopach, boothopach, bootmedoids, hopach2tree
hopach，boothopach，bootmedoids，hopach2tree
举例----------Examples----------
#25 variables from two groups with 3 observations per variable[25两组每3个变量观测变量]
mydata<-rbind(cbind(rnorm(10,0,0.5),rnorm(10,0,0.5),rnorm(10,0,0.5)),cbind(rnorm(15,5,0.5),rnorm(15,5,0.5),rnorm(15,5,0.5)))
dimnames(mydata)<-list(paste("Var",1:25,sep=""),paste("Exp",1:3,sep=""))
mydist<-distancematrix(mydata,d="cosangle") #compute the distance matrix.[计算距离矩阵。]
#clusters and final tree[聚类和最终树]
clustresult<-hopach(mydata,dmat=mydist)
#bootstrap resampling[举重采样]
myobj<-boothopach(mydata,clustresult)
#write MapleTree files[写枫树文件]
boot2fuzzy(mydata,myobj,clustresult)
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 2012-2-25 21:44:44
