R语言 GlobalAncova包 Plot.subjects-methods()函数中文帮助文档(中英文对照)

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Plot.subjects-methods(GlobalAncova)
Plot.subjects-methods()所属R语言包：GlobalAncova

                                        Methods for Function Plot.subjects
                                         方法功能Plot.subjects的

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

There are three possible ways of using GlobalAncova, use methods ? GlobalAncova for getting more information. Also Plot.subjects can be invoked with these three alternatives.
有三种可能的方式使用GlobalAncova用methods ? GlobalAncova获得更多信息。 Plot.subjects可以调用这三个替代品。


方法----------Methods----------




xx = "matrix", formula.full = "formula", formula.red = "formula", model.dat = "ANY", group = "missing", covars = "missing", test.terms = "missing" In this method, besides the expression matrix xx, model formulas for the full and reduced model and a data frame model.dat specifying corresponding model terms have to be given. Terms that are included in the full but not in the reduced model are those whose association with differential expression will be tested. The arguments group, covars and test.terms are '"missing"'
XX =“矩阵”，formula.full =“公式”，formula.red =“的公式”，model.dat =“任何”，组=“失踪”，covars =“失踪”，测试。条件=“失踪”在这种方法中，除了表达矩阵，xx，充分和减少模型和数据框model.dat指定相应的模型计算，必须给模型公式。在全包括，但不是在减少模型的条款，其差异表达的关系将受到考验。的论点group，covars和test.terms是“失踪”




xx = "matrix", formula.full = "formula", formula.red = "missing", model.dat = "ANY", group = "missing", covars = "missing", test.terms = "character" In this method, besides the expression matrix xx, a model formula for the full model and a data frame model.dat specifying corresponding model terms are required. The character argument test.terms names the terms of interest whose association with differential expression will be tested. The arguments formula.red, group and covars are '"missing"'
XX =“矩阵”，formula.full =“公式”，formula.red =“失踪”，model.dat =“任何”，组=“失踪”，covars =“失踪”，测试。条款=“字符”，在此方法中，除了表达矩阵xx，一个完整的模型和数据框的模型公式model.dat指定相应的模型计算需要。字符参数test.terms命名权益的条款，其差异表达的关系将受到考验。的论点formula.red，group和covars是“失踪”




xx = "matrix", formula.full = "missing", formula.red = "missing", model.dat = "missing", group = "ANY", covars = "ANY", test.terms = "missing" Besides the expression matrix xx a clinical variable group is required. Covariate adjustment is possible via the argument covars but more complex models have to be specified with the methods described above. This method emulates the function call in the first version of the package. The arguments formula.full, formula.red, model.dat and
XX =“矩阵”，formula.full =“失踪”，formula.red =“失踪”，model.dat =“失踪”，组=的“ANY”，covars =“任何”，测试。 =“失踪”除了表达矩阵xx临床变量group是必需的。协变量调整是可能通过参数covars但更复杂的模型必须与上面描述的方法指定。这种方法模拟包的第一个版本的功能调用。参数formula.full，formula.red，model.dat“

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