R语言 procoil包 weights-methods()函数中文帮助文档(中英文对照)

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weights-methods(procoil)
weights-methods()所属R语言包：procoil

                                        Retrieve pattern weights from a CCModel object
                                         检索模式重量从CCModel对象

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

Function for retrieving the pattern weights from a
模式的权重，从检索功能


用法----------Usage----------


## S4 method for signature 'CCModel'
weights(object)



参数----------Arguments----------

参数：object
The model to be considered; can either be one of the  models included in the package (PrOCoilModel and PrOCoilModelBA) or any other model loaded or created by the user. For a detailed explanation of the two default models, see CCModel.
要考虑的模型可以是包中包含的车型之一（PrOCoilModel和PrOCoilModelBA）或任何其他模型加载或由用户创建的。如需详细解释了两个默认的模型，看到CCModel。


Details

详情----------Details----------

The function weights provides an accessor function for retrieving the pattern weights from a CCModel object without the need to directly access the weights slot.
功能weights提供存取函数为检索CCModel对象的模式，而不需要直接访问weights插槽权重。


值----------Value----------

weights returns a list of pattern weights.
weights返回一个列表模式砝码。


作者（S）----------Author(s)----------


Ulrich Bodenhofer <a href="mailto:bodenhofer@bioinf.jku.at">bodenhofer@bioinf.jku.at</a>



参考文献----------References----------


Hochreiter, S. (2011) Complex networks govern coiled coil oligomerization - predicting and profiling by means of a machine learning approach. Mol. Cell. Proteomics.

参见----------See Also----------

procoil, CCModel,
procoil，CCModel


举例----------Examples----------


## show weight of pattern "N..La"[＃显示模式。香格里拉“N”的重量。]
weights(PrOCoilModel)[["N..La"]]

## show the 10 patterns that are most indicative for trimers[＃显示10个图案，三聚体的指示。]
## (as the weights are sorted in descending order in PrOCoilModel)[＃（重量在PrOCoilModel降序排列排序）]
weights(PrOCoilModel)[1:10]

## show the 10 patterns that are most indicative for dimers[＃显示10个图案，最二聚体的指示]
## (as the weights are sorted in descending order in PrOCoilModel)[＃（重量在PrOCoilModel降序排列排序）]
nW <- length(weights(PrOCoilModel))
weights(PrOCoilModel)[nWnW - 9)]

## show weight of pattern "N..La"[＃显示模式。香格里拉“N”的重量。]
weights(PrOCoilModelBA)[["N..La"]]

## show the 10 patterns that are most indicative for trimers[＃显示10个图案，三聚体的指示。]
## (as the weights are sorted in descending order in PrOCoilModelBA)[＃（为权重排序降序在PrOCoilModelBA秩序的）]
weights(PrOCoilModelBA)[1:10]

## show the 10 patterns that are most indicative for dimers[＃显示10个图案，最二聚体的指示]
## (as the weights are sorted in descending order in PrOCoilModelBA)[＃（为权重排序降序在PrOCoilModelBA秩序的）]
nW <- length(weights(PrOCoilModelBA))
weights(PrOCoilModelBA)[nWnW - 9)]

转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。


注：
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