make.design.matrix(maSigPro)
make.design.matrix()所属R语言包：maSigPro
Make a design matrix for regression fit of time series gene expression experiments
使回归合适的时间序列基因表达的实验设计矩阵
译者：生物统计家园网 机器人LoveR
描述----------Description----------
make.design.matrix creates the design matrix of dummies for fitting time series micorarray gene expression experiments.
make.design.matrix创建的拟合时间序列micorarray基因表达的实验假人的设计矩阵。
用法----------Usage----------
make.design.matrix(edesign, degree = 2, time.col = 1,
repl.col = 2, group.cols = c(3:ncol(edesign)))
参数----------Arguments----------
参数：edesign
matrix describing experimental design. Rows must be arrays and columns experiment descriptors
矩阵描述实验设计。行必须是阵列和列实验描述
参数：degree
the degree of the regression fit polynome. degree = 1 returns linear regression, degree = 2 returns quadratic regression, etc
回归拟合的多项式程度。 degree= 1返回线性回归，degree= 2返回的二次回归等
参数：time.col
column number in edesign containing time values. Default is first column
edesign包含时间值的列数。默认是第一列
参数：repl.col
column number in edesign containing coding for replicate arrays. Default is second column
在复制阵列edesign含有编码的列数。默认是第二列
参数：group.cols
column numbers in edesign indicating the coding for each experimental group (treatment, tissue, ...). See details
在edesign列数字表明，各实验组（治疗，组织，...）编码。查看详情
Details
详情----------Details----------
rownames of edesign object should contain the arrays naming (i.e. array1, array2, ...). colnames of edesign must contain the names of experiment descriptors(i.e. "Time", "Replicates", "Treatment A", "Treatment B", etc.). for each experimental group a different column must be present in edesign, coding with 1 and 0 whether each array belongs to that group or not.
rownames edesign对象应包含命名的数组（即数组1，数组，...）。 edesign colnames必须包含实验描述符（即“时间”，“复制”，“治疗”，“治疗”等）的名称。每个实验组不同的列必须是目前在edesign，每个阵列是否属于该组或用0和1的编码。
make.design.matrix returns a design matrix where rows represent arrays and column variables of time, dummies and their interactions for up to the degree given. Dummies show the relative effect of each experimental group related to the first one. Single dummies indicate the abcissa component of each group. $Time*dummy$ variables indicate slope changes, $Time^2*dummy$ indicates curvature changes. Higher grade values could model complex responses. In case experimental groups share a initial state (i.e. common time 0), no single dummies are modeled.
make.design.matrix返回一个设计矩阵，其中行代表了degree给的阵列和列变量的时间，假人及它们之间的相互作用。傻瓜显示的第一个有关各实验组的相对影响。单的假人表明各组abcissa组件。 $ *哑元变量显示斜坡变化，$ ^ 2 *假人$表示曲率变化。档次较高的价值，可以模拟复杂的反应。实验组的情况下共享一个初始状态（即常见的时间为0），没有一个单一的假人模型。
值----------Value----------
参数：dis
design matrix of dummies for fitting time series
假人的设计矩阵拟合时间序列
参数：groups.vector
vector coding the experimental group to which each variable belongs to
矢量编码的实验组，其中每个变量属于
参数：edesign
edesign value passed as argument
edesign值作为参数传递
作者（S）----------Author(s)----------
Ana Conesa, aconesa@ivia.es; Maria Jose Nueda, mj.nueda@ua.es
参考文献----------References----------
maSigPro: a Method to Identify Significant Differential Expression Profiles in Time-Course Microarray Experiments.
举例----------Examples----------
data(edesign.abiotic, edesignCT)
make.design.matrix(edesign.abiotic) # quadratic model[二次模型]
make.design.matrix(edesignCT, degree = 3) # cubic model with common starting time point[共同的出发时间点的立方模型]
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 00:24:04
