flowFP-class(flowFP)
flowFP-class()所属R语言包：flowFP
Fingerprint class description.
指纹类的描述。
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This class represents fingerprints generated from a model derived from a flowFrame or flowSet.
这个类代表从从flowFrame或flowSet派生模型生成指纹。
类的对象----------Objects from the Class----------
Objects are created by calling the constructor flowFP.
对象被创建通过调用构造flowFP的。
插槽----------Slots----------
counts: This matrix is organized such that rows correspond to individual flowFrames, and columns to the bins in the underlying flowFPModel. A matrix element thus represents the number of events in a single bin from a single flowFrame. The sum of each row will equal the total number of events in the corresponding flowFrame.
counts：这个矩阵举办这样的行对应个别flowFrames，列在底层flowFPModel垃圾箱。一个矩阵元素，从而在从单一flowFrame的单斌的事件数量。每一行的总和，将等于在相应flowFrame事件的总数。
tags: This list specifies the bin number to which each event is assigned. There is a list element for each instance in the object. Each list element is a integer vector whose length is the number of events in the corresponding flowFrame.
tags：此列表指定每个事件被分配到BIN号。有一个对象中的每个实例的列表元素。每个列表元素是一个整数向量，其长度在相应flowFrame事件。
sampleNames: Names of instances, taken from the flowSet on
sampleNames：实例的名称，采取从flowSet
sampleClasses: Factor object describing the category of each
sampleClasses：因子描述了每个类别的对象
name: Inherited from flowFPModel.
name：继承从flowFPModel。
parameters: Inherited from flowFPModel.
parameters：继承从flowFPModel。
nRecursions: Inherited from flowFPModel.
nRecursions：继承从flowFPModel。
trainingSet: Inherited from flowFPModel.
trainingSet：继承从flowFPModel。
trainingSetParams: Inherited from flowFPModel.
trainingSetParams：继承从flowFPModel。
dequantize: Inherited from flowFPModel.
dequantize：继承从flowFPModel。
split_val: Inherited from flowFPModel.
split_val：继承从flowFPModel。
split_axis: Inherited from flowFPModel.
split_axis：继承从flowFPModel。
binBoundary: Inherited from flowFPModel.
binBoundary：继承从flowFPModel。
.cRecursions: Inherited from flowFPModel.
.cRecursions：继承从flowFPModel。
.tmp_tags: Inherited from flowFPModel.
.tmp_tags：继承从flowFPModel。
延伸----------Extends----------
Class flowFPModel, directly.
类flowFPModel，直接。
方法----------Methods----------
[ Used to select a subset of a fingerprint object.
[用于选择指纹对象的一个子集。
counts Returns the counts matrix of a fingerprint object. See counts.
counts返回计数矩阵的指纹对象。看到计数。
length Returns the number of instances in the fingerprint object.
length返回指纹对象的实例。
nbins Returns the number of bins (equal to 2^nRecursions) in the fingerprint object.
nbins返回的箱数（等于2 ^ nRecursions）在指纹对象。
sampleClasses Returns the sampleClasses slot of the fingerprint object.
sampleClasses返回sampleClasses插槽指纹对象。
sampleClasses<- Set method for the sampleClasses slot of the fingerprint object. Note that the length of the provided object must be equal to the number of instances in the fingerprint object. If the provided object
sampleClasses<-设置为指纹对象sampleClasses插槽方法。需要注意的是所提供的对象的长度必须等于指纹对象的实例的数量。如果所提供的对象
tags Returns the tags slot. See tags.
tags返回tags插槽。看到标签。
show Shows the contents of the fingerprint object.
show显示指纹的对象的内容。
summary Gives a summary of the fingerprint object.
summary给人一种指纹对象的摘要。
作者（S）----------Author(s)----------
Herb Holyst <<a href="mailto:holyst@mail.med.upenn.edu">holyst@mail.med.upenn.edu</a>>, Wade Rogers <<a href="mailto:rogersw@mail.med.upenn.edu">rogersw@mail.med.upenn.edu</a>>
参考文献----------References----------
Multivariate Distribution Differences, Cytometry 45, 47-55.
Multivariate Distributions, Cytometry Part A 73, 430-441.
参见----------See Also----------
flowFP, flowFPModel
flowFP，flowFPModel
举例----------Examples----------
# load a flowSet to use as an example.[加载flowSet使用作为一个例子。]
library(flowFP)
data(fs1)
model <- flowFPModel(fs1, parameters=c(4,5), nRecursions=6)
fp <- flowFP(fs1, model)
plot(fp)
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。
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发表于 2012-2-25 17:52:16
