bga.suppl(made4)
bga.suppl()所属R语言包：made4
Between group analysis with supplementary data projection
组之间补充数据的分析预测
译者：生物统计家园网 机器人LoveR
描述----------Description----------
bga.suppl performs a bga between group analysis with projection of supplementary points using suppl
bga.suppl执行组间分析，预测与补充点bga用suppl
用法----------Usage----------
bga.suppl(dataset, supdata, classvec, supvec = NULL, suponly = FALSE, type="coa", ...)
参数----------Arguments----------
参数：dataset
Training dataset. A matrix, data.frame, ExpressionSet or marrayRaw-class. If the input is gene expression data in a matrix or data.frame. The rows and columns are expected to contain the variables (genes) and cases (array samples) respectively.
训练集。一个matrix，data.frame，ExpressionSet或marrayRaw-class。如果输入的是一个matrix或data.frame的基因表达数据。预计包含的变量（基因）和例（阵列样品）分别行和列。
参数：supdata
Test or blind dataset. A matrix, data.frame, ExpressionSet or marrayRaw-class. If the input is gene expression data in a matrix or data.frame. The rows and columns are expected to contain the variables (genes) and cases (array samples) respectively. The test dataset supdata and the training dataset dataset must contain the same number of variables (genes).
测试或盲目集。一个matrix，data.frame，ExpressionSet或marrayRaw-class。如果输入的是一个matrix或data.frame的基因表达数据。预计包含的变量（基因）和例（阵列样品）分别行和列。测试数据集supdata和训练集dataset必须包含相同数量变量（基因）。
参数：classvec
A factor or vector which describes the classes in the training data dataset.
一个factor或vector这说明在训练数据的类dataset。
参数：supvec
A factor or vector which describes the classes in the test dataset supdata.
一个factor或vector这说明在测试数据集supdata类。
参数：suponly
Logical indicating whether the returned output should contain the test class assignment results only. The default value is FALSE, that is the training coordinates, test coordinates and class assignments will all be returned.
逻辑表示返回的输出是否应该只包含测试类的分配结果。默认值是FALSE，是训练的坐标，测试坐标和课堂作业都将被退回。
参数：type
Character, "coa", "pca" or "nsc" indicating which data transformation is required. The default value is type="coa".
性格，“农委会”，“PCA”或“国科会”，表明这是必需的数据转换。默认值是类型=“农委会”。
参数：...
further arguments passed to or from other methods.
通过进一步的论据或其他方法。
Details
详情----------Details----------
bga.suppl calls bga to perform between group analysis (bga) on the training dataset, then it calls suppl to project the test dataset onto the bga axes. It returns the coordinates and class assignment of the cases (microarray samples) in the test dataset as described by Culhane et al., 2002.
bga.suppl要求bga组分析（BGA）之间进行的训练集上，然后它调用suppl项目的测试数据集到BGA轴的。它返回的测试数据集的情况下，坐标和课堂作业（芯片样品）Culhane等所述，2002年。
The test dataset must contain the same number of variables (genes) as the training dataset.
测试数据集必须包含的变量相同数量的训练集（基因）。
The input format of both the training dataset and test dataset are verified using array2ade4. Use plot.bga to plot results from bga.
训练集和测试集的输入格式验证使用array2ade4。使用plot.bga绘制BGA的结果。
值----------Value----------
If suponly is FALSE (the default option) bga.suppl returns a list of length 4 containing the results of the bga of the training dataset and the results of the projection of the test dataset onto the bga axes-
如果suponly是FALSE（默认选项）bga.suppl返回一个长度为4到bga训练集和测试数据集的投影结果的结果列表，其中包含BGA轴
参数：ord
Results of initial ordination. A list of class "dudi" (see dudi).
初步协调的结果。一类“dudi”（见dudi）的名单。
参数：bet
Results of between group analysis. A list of class "dudi" (see dudi),"between" (see between),and "dudi.bga"(see bga)
组间分析的结果。一个的类“dudi”的列表（见dudi），“之间”（见between），“dudi.bga”（见bga）
参数：fac
The input classvec, the factor or vector which described the classes in the input dataset
输入classvec，其中描述的输入数据集类的因素或向量
参数：suppl
An object returned by suppl
返回的对象suppl
If suponly is TRUE only the results from suppl will be returned.
suponly如果只有从suppl将返回的结果为TRUE。
作者（S）----------Author(s)----------
Aedin Culhane
参考文献----------References----------
<h3>See Also</h3> See Also <code>bga</code>, <code>suppl</code>, <code>between</code>,
举例----------Examples----------
data(khan)
#khan.bga<-bga(khan$train, khan$train.classes)[khan.bga <-BGA（汗火车，汗$ train.classes）]
if (require(ade4, quiet = TRUE)) {
khan.bga<-bga.suppl(khan$train, supdata=khan$test,
classvec=khan$train.classes, supvec=khan$test.classes)
khan.bga
plot.bga(khan.bga, genelabels=khan$annotation$Symbol)
khan.bga$suppl
}
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 00:00:17
