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

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发表于 2012-10-1 13:27:37 | 显示全部楼层 |阅读模式
unmarkedFrame-class(unmarked)
unmarkedFrame-class()所属R语言包:unmarked

                                        Class "unmarkedFrame"
                                         类“unmarkedFrame”

                                         译者:生物统计家园网 机器人LoveR

描述----------Description----------

Methods for manipulating, summarizing and viewing unmarkedFrames
为操纵,总结和查看unmarkedFrames的方法


类对象----------Objects from the Class----------

Objects can be created by calls to the constructor function unmarkedFrame. These objects are passed to the data argument of the fitting functions.
可以创建对象通过调用类的构造函数unmarkedFrame。这些对象被传递到数据的拟合函数的参数。


插槽----------Slots----------




y: Object of class "matrix"
y:对象类"matrix"的




obsCovs: Object of class "optionalDataFrame"
obsCovs:对象类"optionalDataFrame"的




siteCovs: Object of class "optionalDataFrame"
siteCovs:对象类"optionalDataFrame"的




mapInfo: Object of class "optionalMapInfo"
mapInfo:对象类"optionalMapInfo"的




obsToY: Object of class "optionalMatrix"
obsToY:对象类"optionalMatrix"的


方法----------Methods----------




[ signature(x = "unmarkedFrame", i = "numeric", j = "missing",
[<CODE>签名(X =“unmarkedFrame”,“数字”,J =“失踪”




[ signature(x = "unmarkedFrame", i = "numeric", j = "numeric",
[<CODE>签名(X =“unmarkedFrame”,“数字”,J =“数值”,




[ signature(x = "unmarkedFrame", i = "missing", j = "numeric",
[<CODE>签名(X =的“unmarkedFrame”,I =“失踪”,J =“数字”,




coordinates signature(object = "unmarkedFrame"): extract
坐标signature(object = "unmarkedFrame"):提取




getY signature(object = "unmarkedFrame"): extract y matrix
杰蒂signature(object = "unmarkedFrame"):y矩阵提取物




numSites signature(object = "unmarkedFrame"): extract M
numSitessignature(object = "unmarkedFrame"):提取物中号




numY signature(object = "unmarkedFrame"): extract ncol(y)
numY signature(object = "unmarkedFrame"):提取NCOL(Y)




obsCovs signature(object = "unmarkedFrame"): extract
obsCovs signature(object = "unmarkedFrame"):提取




obsCovs<- signature(object = "unmarkedFrame"): add or modify
obsCovs < -  signature(object = "unmarkedFrame"):添加或修改




obsNum signature(object = "unmarkedFrame"): extract number of
obsNumsignature(object = "unmarkedFrame"):提取数




obsToY signature(object = "unmarkedFrame"):  
obsToYsignature(object = "unmarkedFrame"):




obsToY<- signature(object = "unmarkedFrame"): ...
obsToY < - signature(object = "unmarkedFrame"):...




plot signature(x = "unmarkedFrame", y = "missing"): visualize response variable.
图signature(x = "unmarkedFrame", y = "missing"):可视化响应变量。

Takes additional argument panels which specifies how many
需要额外的参数panels多少




projection signature(object = "unmarkedFrame"): extract
投影signature(object = "unmarkedFrame"):提取




show signature(object = "unmarkedFrame"): view data as
显示signature(object = "unmarkedFrame"):视图数据




siteCovs signature(object = "unmarkedFrame"): extract
siteCovs signature(object = "unmarkedFrame"):提取




siteCovs<- signature(object = "unmarkedFrame"): add or modify
siteCovs < -  signature(object = "unmarkedFrame"):添加或修改




summary signature(object = "unmarkedFrame"): summarize data
总结signature(object = "unmarkedFrame"):总结数据


注意----------Note----------

This is a superclass with child classes for each fitting function
这是一个父类与子类,每件的功能


参见----------See Also----------

unmarkedFrame, unmarkedFit, unmarked-package
unmarkedFrame,unmarkedFit,unmarked-package


实例----------Examples----------



# Organize data for pcount()[组织pcount的(数据)]
data(mallard)
mallardUMF <- unmarkedFramePCount(mallard.y, siteCovs = mallard.site,
        obsCovs = mallard.obs)


# Vizualize it[Vizualize它]
plot(mallardUMF)

mallardUMF


# Summarize it[总结一下]
summary(mallardUMF)

str(mallardUMF)

numSites(mallardUMF)

numY(mallardUMF)

obsNum(mallardUMF)


# Extract components of data[提取成分的数据]
getY(mallardUMF)

obsCovs(mallardUMF)
obsCovs(mallardUMF, matrices = TRUE)

siteCovs(mallardUMF)

mallardUMF[1:5,]        # First 5 rows in wide format[前5行宽屏幕格式]

mallardUMF[,1:2]        # First 2 observations[前2个观察值]




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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