curv1Filter-class(flowCore)
curv1Filter-class()所属R语言包：flowCore
Class "curv1Filter"
类“curv1Filter”
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Class and constructor for data-driven filter objects that selects high-density regions in one dimension.
类和构造数据驱动filter对象，选择在一维的高密度区域。
用法----------Usage----------
curv1Filter(x, bwFac=1.2, gridsize=rep(401, 2),
filterId="defaultCurv1Filter")
参数----------Arguments----------
参数：x
Character giving the name of the measurement parameter on which the filter is supposed to work on. This can also be a list containing a single character scalar for programmatic access.
字符给过滤器应该工作的测量参数的名称。这也可以是一个列表，其中包含一个纲领性访问单个字符标。
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：bwFac, gridsize
Numerics of length 1 and 2, respectively, used to set the bwFac and gridsize slots of the object.
数字，长度为1和2，分别用于设置bwFac和gridsize对象的插槽。
Details
详情----------Details----------
Areas of high local density in one dimensions are identified by detecting significant curvature regions. See <CITE>Duong, T. and Cowling, A. and Koch, I. and Wand, M.P., Computational Statistics and Data Analysis 52/9, 2008</CITE> for details. The constructor curv1Filter is a convenience function for object instantiation. Evaluating a curv1Filter results in potentially multiple sub-populations, an hence in an object of class multipleFilterResult. Accordingly, curv1Filters can be used to split flow cytometry data sets.
局部密度高的区域，在一个层面是确定检测重大曲率区域。详情请参阅<CITE>平阳，T.和整流罩，A.和科赫，一和魔杖，国会议员，统计计算和数据分析52/9，2008 </引用>。构造curv1Filter是一个对象实例化的便利功能。评估潜在的多个子种群的因此，在一个对象类curv1FiltermultipleFilterResult结果。因此，curv1Filters可以用来分裂流式单元仪的数据集。
值----------Value----------
Returns a curv1Filter object for use in filtering flowFrames or other flow cytometry objects.
使用过滤curv1Filters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----------
bwFac: Object of class "numeric". The bandwidth
bwFac类"numeric"的对象。带宽
gridsize: Object of class "numeric". The size
gridsize类"numeric"的对象。大小
parameters: Object of class "character",
parameters：Object类的"character"，
filterId: Object of class "character",
filterId：Object类的"character"，
类的对象----------Objects from the Class----------
Objects can be created by calls of the form new("curvFilter", ...) or using the constructor curv1Filter. Using the constructor is the recommended way of object instantiation:
对象可以创建检测形式new("curvFilter", ...)或使用的构造curv1Filter。使用构造对象实例的推荐方式：
方法----------Methods----------
%in% signature(x = "flowFrame", table = "curv1Filter"): The workhorse used to evaluate the filter on data. This is usually not called directly by the user, but
在％signature(x = "flowFrame", table = "curv1Filter")：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 = "curv1Filter"): Print
显示signature(object = "curv1Filter")：打印
注意----------Note----------
See the documentation in the flowViz package for plotting of curv1Filters.
看到图flowVizcurv1Filters包的文档。
作者（S）----------Author(s)----------
Florian Hahne
参见----------See Also----------
curv2Filter, flowFrame, flowSet, filter for evaluation of curv1Filters and split for splitting of flow cytometry data sets based on that.
curv2Filter，flowFrame，flowSet，filter评价curv1Filters和split流式单元仪数据集在此基础上的分裂。
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]
curv1Filter("FSC-H", filterId="myCurv1Filter", bwFac=2)
## 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]
c1f <- curv1Filter(filterId="myCurv1Filter", x=list("FSC-H"), bwFac=2)
## Filtering using curv1Filter[＃过滤使用curv1Filter]
fres <- filter(dat, c1f)
fres
summary(fres)
names(fres)
## The result of curv1 filtering are multiple sub-populations[＃curv1过滤的结果是多个子种群]
## and we can split our data set accordingly[＃我们可以分裂我们的数据进行相应的设置]
split(dat, fres)
## We can limit the splitting to one or several sub-populations[＃我们可以限制一个或几个子群体的分裂]
split(dat, fres, population="rest")
split(dat, fres, population=list(keep=c("peak 2", "peak 3")))
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 17:41:07
