MultiStrauss(spatstat)
MultiStrauss()所属R语言包：spatstat
The Multitype Strauss Point Process Model
多类型施特劳斯点过程模型
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Creates an instance of the multitype Strauss point process model which can then be fitted to point pattern data.
创建多类型施特劳斯点过程模型，然后可以配点模式数据的一个实例。
用法----------Usage----------
MultiStrauss(types=NULL, radii)
参数----------Arguments----------
参数：types
Optional; vector of all possible types (i.e. the possible levels of the marks variable in the data)
可选;矢量的所有可能的类型（即可能的marks变量中的数据）
参数：radii
Matrix of interaction radii
矩阵互动半径的
Details
详细信息----------Details----------
The (stationary) multitype Strauss process with m types, with interaction radii r[i,j] and parameters beta[j] and gamma[i,j] is the pairwise interaction point process in which each point of type j contributes a factor beta[j] to the probability density of the point pattern, and a pair of points of types i and j closer than r[i,j] units apart contributes a factor gamma[i,j] to the density.
（固定的）进行多斯特劳斯过程m类型，互动半径r[i,j]和参数beta[j]和gamma[i,j]是对相互作用点的过程中，每个点的类型 X>除了有助于一个因素j点图案的概率密度，和一个双点类型beta[j]和i接近比j单位贡献的一个因素r[i,j]的密度。
The nonstationary multitype Strauss process is similar except that the contribution of each individual point x[i] is a function beta(x[i]) of location and type, rather than a constant beta.
非平稳多类型施特劳斯过程是类似的，除了每个点x[i]的贡献是一个函数beta(x[i])的位置和类型，而不是一个常数测试。
The function ppm(), which fits point process models to point pattern data, requires an argument of class "interact" describing the interpoint interaction structure of the model to be fitted. The appropriate description of the multitype Strauss process pairwise interaction is yielded by the function MultiStrauss(). See the examples below.
的功能ppm()，适合点模式数据点过程模型，需要一个参数的类"interact"描述INTERPOINT互动结构的模型被安装。适当的描述多类型施特劳斯对相互作用过程产生的功能MultiStrauss()。请参见下面的例子。
The argument types need not be specified in normal use. It will be determined automatically from the point pattern data set to which the MultiStrauss interaction is applied, when the user calls ppm. However, the user should be confident that the ordering of types in the dataset corresponds to the ordering of rows and columns in the matrix radii.
参数types不必指定在正常使用。这将自动确定从点图案数据设定为施加的MultiStrauss互动，当用户调用ppm。但是，用户应该相信，在数据集的顺序的类型对应的顺序的行和列的矩阵中的radii。
The matrix radii must be symmetric, with entries which are either positive numbers or NA. A value of NA indicates that no interaction term should be included for this combination of types.
的矩阵radii必须是对称的，这是正数或NA的条目。值NA表示，没有互动的任期应包括这样的组合类型。
Note that only the interaction radii are specified in MultiStrauss. The canonical parameters log(beta[j]) and log(gamma[i,j]) are estimated by ppm(), not fixed in MultiStrauss().
注意的互动半径指定的MultiStrauss。规范参数log(beta[j])和log(gamma[i,j])估计ppm()，而不是固定在MultiStrauss()。
值----------Value----------
An object of class "interact" describing the interpoint interaction structure of the multitype Strauss process with interaction radii radii[i,j].
类的一个对象"interact"描述INTERPOINT互动结构的多类型的斯特劳斯过程与互动半径radii[i,j]。
警告----------Warnings----------
In order that ppm can fit the multitype Strauss model correctly to a point pattern X, this pattern must be marked, with markformat equal to vector and the mark vector marks(X) must be a factor. If the argument types is specified it is interpreted as a set of factor levels and this set must equal levels(marks(X)).
为了使ppm适合多类型施特劳斯模型的正确阵列点X，这种模式必须被标记，与markformat等于vector和标志矢量X>必须是一个因素。如果参数marks(X)指定它被解释为一组因子水平和必须等于这组types。
（作者）----------Author(s)----------
Adrian Baddeley
<a href="mailto:Adrian.Baddeley@csiro.au">Adrian.Baddeley@csiro.au</a>
<a href="http://www.maths.uwa.edu.au/~adrian/">http://www.maths.uwa.edu.au/~adrian/</a>
and Rolf Turner
<a href="mailto:r.turner@auckland.ac.nz">r.turner@auckland.ac.nz</a>
参见----------See Also----------
ppm, pairwise.family, ppm.object, Strauss, MultiHard
ppm，pairwise.family，ppm.object，Strauss，MultiHard
实例----------Examples----------
r <- matrix(c(1,2,2,1), nrow=2,ncol=2)
MultiStrauss(radii=r)
# prints a sensible description of itself[打印本身就是一个明智的描述]
data(betacells)
r <- 30.0 * matrix(c(1,2,2,1), nrow=2,ncol=2)
ppm(betacells, ~1, MultiStrauss(, r))
# fit the stationary multitype Strauss process to `betacells'[适合多类型的固定施特劳斯过程betacells“]
# Note the comma; needed since "types" is not specified.[请注意在逗号必要的，因为没有指定的“类型”。]
## Not run: [＃不运行：]
ppm(betacells, ~polynom(x,y,3), MultiStrauss(c("off","on"), r))
# fit a nonstationary Strauss process with log-cubic polynomial trend[适合非平稳施特劳斯的过程中数三次多项式趋势]
## End(Not run)[＃（不执行）]
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 2012-9-30 13:49:12
