capthist(secr)
capthist()所属R语言包：secr
Spatial Capture History Object
空间捕捉历史记录对象
译者：生物统计家园网 机器人LoveR
描述----------Description----------
A capthist object encapsulates all data needed by secr.fit, except for the optional habitat mask.
所需要的capthistAsecr.fit对象封装了所有数据，除了可选的栖息地屏蔽。
Details
详细信息----------Details----------
An object of class capthist holds spatial capture histories, detector (trap) locations, individual covariates and other data needed for a spatially explicit capture-recapture analysis with secr.fit.
一个对象的类capthist的拥有的空间捕捉历史，检测器（陷阱）的位置，个人的协变量和其他数据所需的空间明确的捕获 - 再捕获分析secr.fit。
For "single" and "multi" detectors, capthist is a matrix with one row per animal and one column per occasion (i.e. dim(capthist) = c(nc, noccasions)); each element is either zero (no detection) or a detector number. For other detectors ("proximity", "count", "signal" etc.), capthist is an array of values and dim(capthist) = c(nc, noccasions, ntraps); values maybe binary ({–1, 0, 1}) or integer depending on the detector type.
单和多探测器capthist每头动物的一列一列，每一次（即暗淡（capthist）的= C（NC，noccasions））是一个矩阵，每个元素是零（没有检测到）或检测器的数目。对于其他探测器（“接近性”，“计数”，“信号”等），capthist是的值和暗淡（capthist）的= C（NC，noccasions，ntraps的数组）;值也许二进制（{-1，0，1}）或整数取决于检测器的类型的。
Deaths during the experiment are represented as negative values.
实验期间死亡表示为负值。
Ancillary data are retained as attributes of a capthist object as follows:
辅助数据保留作为一个capthist对象的属性如下：
traps – object of class traps (required)
陷阱 - 对象的类traps（必填）
session – session identifier (required)
会话 - 会话标识符（图）
covariates – dataframe of individual covariates (optional)
协变量 - 个人的变量数据框（可选）
cutval – threshold of signal strength for detection ("signal" only)
cutval - 信号强度阈值检测（信号只）
signal – signal strength values, one per detection ("signal" only)
信号 - 信号强度值，每一个检测（信号只）
detectedXY – dataframe of coordinates for location within polygon ("polygon" only)
detectedXY - 数据框的坐标位置在多边形（多边形的）
The parts of a capthist object can be assembled with the function make.capthist. Use sim.capthist for Monte Carlo simulation (simple models only). Methods are provided to display and manipulate capthist objects (print, summary, plot, rbind, subset, reduce) and to extract and replace attributes (covariates, traps, xy).
份一个capthist对象可以组装在一起的功能make.capthist。使用sim.capthistMonte Carlo模拟（简单）。提供一些方法以显示和操作capthist对象（打印，汇总，图，rbind，子集，减少）和属性（协变量，陷阱，XY）中提取和替换。
A multi-session capthist object is a list in which each component is a capthist for a single session. The list maybe derived directly from multi-session input in Density format, or by combining existing capthist objects with MS.capthist.
多会话capthist对象是一个列表，其中每个组件是一个capthist为一个会话。该列表可能直接来自于多届中密度格式输入，或通过结合现有的capthist对象MS.capthist。
参考文献----------References----------
explicit maximum likelihood methods for capture–recapture studies. Biometrics 64, 377–385.
by spatially explicit capture-recapture: likelihood-based methods. In: D. L. Thomson, E. G. Cooch and M. J. Conroy (eds) Modeling Demographic Processes in Marked Populations. Springer, New York. Pp. 255–269.
参见----------See Also----------
traps, secr.fit, read.capthist, make.capthist, sim.capthist, subset.capthist, rbind.capthist, MS.capthist,
traps，secr.fit，read.capthist，make.capthist，sim.capthist，subset.capthist，rbind.capthist，MS.capthist，
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 2012-9-29 23:54:52
