norm2Filter-class(flowCore)
norm2Filter-class()所属R语言包：flowCore
Class "norm2Filter"
类“norm2Filter”
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Class and constructors for a filter that fits a bivariate normal distribution to a data set of paired values and selects data points according to their standard deviation from the fitted distribution.
filter类和构造适合二元正态分布成对值的数据集，并选择数据点，根据他们从拟合分布的标准偏差。
用法----------Usage----------
norm2Filter(x, y, method="covMcd", scale.factor=1, n=50000,
filterId="defaultNorm2Filter")
参数----------Arguments----------
参数：x,y
Characters giving the names of the measurement parameter on which the filter is supposed to work on. y can be missing in which case x is expected to be a character vector of length 2 or a list of characters.
字符给过滤器应该工作的测量参数的名称。 y可缺少的，在这种情况下x预计是一个长度为2个或一个字符列表的特征向量。
参数：filterId
An optional parameter that sets the filterId slot of this filter. The object can later be identified by this name.
一个可选参数，设置filterId此过滤器的插槽。对象可以在以后确定了这个名字。
参数：scale.factor, n
Numerics of length 1, used to set the scale.factor and n slots of the object.
长度为1的数字，用于设置scale.factor和n对象的插槽。
参数：method
Character in covMcd or cov.rob, used to set the method slot of the object.
八字covMcd或cov.rob，用于设置method对象插槽。
Details
详情----------Details----------
The filter fits a bivariate normal distribution to the data and selects all events within the Mahalanobis distance multiplied by the scale.factor argument. The constructor norm2Filter is a convenience function for object instantiation. Evaluating a curv2Filter results in an object of class logicalFilterResult. Accordingly, norm2Filters can be used to subset and to split flow cytometry data sets.
过滤器适合二元正态分布的数据，并选择乘以scale.factor参数的马氏距离内的所有事件。构造norm2Filter是一个对象实例化的便利功能。评价对象类curv2FilterlogicalFilterResult结果。因此，norm2Filters可以使用子集和分裂流式单元仪的数据集。
值----------Value----------
Returns a norm2Filter object for use in filtering flowFrames or other flow cytometry objects.
使用过滤norm2Filters或其他流式单元仪检测对象返回一个flowFrame对象。
延伸----------Extends----------
Class "parameterFilter", directly.
类"parameterFilter"，直接。
Class "concreteFilter", by class parameterFilter, distance 2.
类"concreteFilter"类parameterFilter，距离2。
Class "filter", by class parameterFilter, distance 3.
类"filter"类parameterFilter，距离3。
插槽----------Slots----------
method: One of covMcd or cov.rob
method或covMcd cov.rob：
scale.factor: Numeric vector giving factor of standard deviations used for data selection (all points within
scale.factor：数字矢量数据选择（所有点内使用的标准偏差的因素
n: Object of class "numeric", the number of events used to compute the covariance matrix of the bivariate
n：对象类"numeric"，用来计算协方差矩阵的二元事件的数量
filterId: Object of class "character"
filterId类"character"：对象
parameters: Object of class "ANY" describing the parameters used to filter the flowFrame or
parameters：Object类的"ANY"描述用于过滤参数flowFrame
类的对象----------Objects from the Class----------
Objects can be created by calls of the form new("norm2Filter", ...) or using the constructor norm2Filter. The constructor is the recommended way of object instantiation:
对象可以创建检测形式new("norm2Filter", ...)或使用的构造norm2Filter。构造函数是对象实例的推荐方式：
方法----------Methods----------
%in% signature(x = "flowFrame", table = "norm2Filter"): The workhorse used to evaluate the filter on data. This is usually not called directly by the user, but
在％signature(x = "flowFrame", table = "norm2Filter")：主力用来评估对数据的过滤器。这通常不是直接调用的用户，但
show signature(object = "norm2Filter"): Print
显示signature(object = "norm2Filter")：打印
注意----------Note----------
See the documentation in the flowViz package for plotting of norm2Filters.
看到图flowViznorm2Filters包的文档。
作者（S）----------Author(s)----------
F. Hahne
参见----------See Also----------
cov.rob, CovMcd, filter for evaluation of norm2Filters and split and Subsetfor splitting and subsetting of flow cytometry data sets based on that.
cov.rob，CovMcd，filternorm2Filters和split和Subset分裂和流式单元仪数据的子集设置此基础上的评估。
举例----------Examples----------
## Loading example data[＃载入数据为例]
dat <- read.FCS(system.file("extdata","0877408774.B08",
package="flowCore"))
## Create directly. Most likely from a command line[＃直接创建。最有可能从一个命令行]
norm2Filter("FSC-H", "SSC-H", filterId="myCurv2Filter")
## To facilitate programmatic construction we also have the following[＃为了便于我们也有以下的纲领性建设]
n2f <- norm2Filter(filterId="myNorm2Filter", x=list("FSC-H", "SSC-H"),
scale.factor=2)
n2f <- norm2Filter(filterId="myNorm2Filter", x=c("FSC-H", "SSC-H"),
scale.factor=2)
## Filtering using norm2Filter[＃过滤使用norm2Filter]
fres <- filter(dat, n2f)
fres
summary(fres)
## The result of norm2 filtering is a logical subset[＃norm2过滤的结果是一个逻辑子集]
Subset(dat, fres)
## We can also split, in which case we get those events in and those[＃我们也可以分裂，在这种情况下，我们得到这些事件和那些]
## not in the gate as separate populations[＃而不是作为单独的种群门]
split(dat, fres)
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。
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发表于 2012-2-25 17:45:46
