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R语言 flowCore包 filterSummary-class()函数中文帮助文档(中英文对照)

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发表于 2012-2-25 17:43:06 | 显示全部楼层 |阅读模式
filterSummary-class(flowCore)
filterSummary-class()所属R语言包:flowCore

                                        Class "filterSummary"
                                         类“filterSummary”

                                         译者:生物统计家园网 机器人LoveR

描述----------Description----------

Class and methods to handle the summary information of a
类和方法来处理的摘要信息


用法----------Usage----------



summary(object, ...)




参数----------Arguments----------

参数:object
An object inheriting from class filterResult which is to be summarized.  
一个对象类继承filterResult这是总结。


参数:...
Further arguments that are passed to the generic.  
进一步的参数传递给通用。


Details

详情----------Details----------

Calling summary on a filterResult object prints summary information on the screen, but also creates objects of class filterSummary for computational access.
调用summaryfilterResult对象在屏幕上打印的摘要信息,但也创建类对象filterSummary计算访问。


值----------Value----------

An object of class filterSummary for the summary constructor, a named list for the subsetting operators. The $ operator returns a named vector of the respective value, where each named element corresponds to one sub-population.
一个类的对象filterSummarysummary构造,命名为子集经营。 $操作符返回了各自的价值,每个命名的元素对应一个子人口的命名向量。


类的对象----------Objects from the Class----------

Objects are created by calling summary on a link{filterResult} object. The user doesn't have to deal with manual object instantiation.
创建对象调用summarylink{filterResult}对象。用户没有处理手册的对象实例。


插槽----------Slots----------




name: Object of class "character" The name(s) of the populations created in the filtering operation. For a logicalFilterResult this is just a single value; the
name:Object类的"character"在过滤操作中创建的人口(S)的名称。对于logicalFilterResult这只是一个单一的价值;




true: Object of class "numeric". The number of
true类"numeric"的对象。的数量




count: Object of class "numeric". The total
count类"numeric"的对象。总




p: Object of class "numeric" The percentage of
p类"numeric"百分比:对象


方法----------Methods----------




[[ signature(x = "filterSummary", i = "numeric"): Subset the filterSummary to a single population. This only makes sense for multipleFilterResults.
[signature(x = "filterSummary", i = "numeric"):子集的filterSummary到一个单一的人口。这不仅使感multipleFilterResults。




[[ signature(x = "filterSummary", i = "character"):
[signature(x = "filterSummary", i = "character"):




\$ signature(x = "filterSummary", name = "ANY"): A list-like accessor to the slots and more. Valid values are n and count (those are identical), true and in (identical), false and out (identical),
\ $signature(x = "filterSummary", name = "ANY"):列表像存取插槽和更多。有效的值是n和count(那些是相同的),true和in(相同),false和out(相同),




coerce signature(from = "filterSummary", to =
要挟的<code>签名(从=“filterSummary”中,为=




length signature(x = "filterSummary"): The number of
长度signature(x = "filterSummary"):




names signature(x = "filterSummary"): The names of the
名称signature(x = "filterSummary"):名称




print signature(x = "filterSummary"): Print details
打印signature(x = "filterSummary"):打印详情




show signature(object = "filterSummary"): Print
显示signature(object = "filterSummary"):打印




toTable signature(x = "filterSummary"): Coerce object
toTablesignature(x = "filterSummary"):强制对象


作者(S)----------Author(s)----------


Florian Hahne, Byron Ellis



参见----------See Also----------

filterResult, logicalFilterResult, multipleFilterResult, flowFrame filterSummaryList
filterResult,logicalFilterResult,multipleFilterResult,flowFramefilterSummaryList


举例----------Examples----------



## Loading example data, creating and applying a curv1Filter[#加载数据为例,创建和应用curv1Filter的]
dat <- read.FCS(system.file("extdata","0877408774.B08",
package="flowCore"))
c1f <- curv1Filter(filterId="myCurv1Filter", x=list("FSC-H"), bwFac=2)
fres <- filter(dat, c1f)

## creating and showing the summary[#创建和显示摘要]
summary(fres)
s <- summary(fres)

## subsetting[#子集]
s[[1]]
s[["peak 2"]]

##accessing details[#访问的详细信息]
s$true
s$n
toTable(s)


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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