pcfcross.inhom(spatstat)
pcfcross.inhom()所属R语言包：spatstat
Inhomogeneous Multitype Pair Correlation Function (Cross-Type)
非均匀多类型，对相关函数（十字型）
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Estimates the inhomogeneous cross-type pair correlation function for a multitype point pattern.
估计非齐次十字型对相关函数的多类型的点模式。
用法----------Usage----------
pcfcross.inhom(X, i, j, lambdaI = NULL, lambdaJ = NULL, ...,
r = NULL, breaks = NULL,
kernel="epanechnikov", bw=NULL, stoyan=0.15,
correction = c("isotropic", "Ripley", "translate"),
sigma = NULL, varcov = NULL)
参数----------Arguments----------
参数：X
The observed point pattern, from which an estimate of the inhomogeneous cross-type pair correlation function g[i,j](r) will be computed. It must be a multitype point pattern (a marked point pattern whose marks are a factor).
所观察到的点图案，从估计的不均匀十字型对相关函数g[i,j](r)将被计算。它必须是一个多类型的点模式（一个标记点图案的标记是一个因素）。
参数：i
The type (mark value) of the points in X from which distances are measured. A character string (or something that will be converted to a character string). Defaults to the first level of marks(X).
X距离的测量点的类型（标记值）。一个字符串（或东西都将被转换为一个字符串）。默认的第一级marks(X)。
参数：j
The type (mark value) of the points in X to which distances are measured. A character string (or something that will be converted to a character string). Defaults to the second level of marks(X).
距离的测量点X的类型（标记值）。一个字符串（或东西都将被转换为一个字符串）。默认的第二个层次的marks(X)。
参数：lambdaI
Optional. Values of the estimated intensity function of the points of type i. Either a vector giving the intensity values at the points of type i, a pixel image (object of class "im") giving the intensity values at all locations, or a function(x,y) which can be evaluated to give the intensity value at any location.
可选。值类型i点的估计强度功能。无论是向量，使在该点的亮度值类型i，一个像素的图像（类的对象"im"）发出的强度值在所有地点，或function(x,y)可以评估给在任何位置的强度值。
参数：lambdaJ
Optional. Values of the estimated intensity function of the points of type j. A numeric vector, pixel image or function(x,y).
可选。值类型j点的估计强度功能。一个数值向量，像素的图像或function(x,y)。
参数：r
Vector of values for the argument r at which g[i,j](r) should be evaluated. There is a sensible default.
向量参数的值r，g[i,j](r)应该进行评估。有一个合理的默认。
参数：breaks
Optional. An alternative to the argument r. Not normally invoked by the user.
可选。替代到的参数r。通常不是由用户调用。
参数：kernel
Choice of smoothing kernel, passed to density.default.
选择平滑的内核，传递给density.default。
参数：bw
Bandwidth for smoothing kernel, passed to density.default.
带宽为平滑的内核，传递给density.default。
参数：...
Other arguments passed to the kernel density estimation function density.default.
其他参数传递给内核密度估计函数density.default。
参数：stoyan
Bandwidth coefficient; see Details.
带宽系数;详细。
参数：correction
Choice of edge correction.
选择边缘校正。
参数：sigma,varcov
Optional arguments passed to density.ppp to control the smoothing bandwidth, when lambdaI or lambdaJ is estimated by kernel smoothing.
可选参数传递给density.ppp控制的平滑带宽，当lambdaI或lambdaJ核平滑估计。
Details
详细信息----------Details----------
The inhomogeneous cross-type pair correlation function g[i,j](r) is a summary of the dependence between two types of points in a multitype spatial point process that does not have a uniform density of points.
的不均匀的十字型对相关函数g[i,j](r)是一个总结的两种类型的点在一个多类型的空间点过程中，并没有一个统一的点密度之间的依赖关系。
The best intuitive interpretation is the following: the probability p(r) of finding two points, of types i and j respectively, at locations x and y separated by a distance r is equal to
最直观的解释如下：的概率p(r)发现两个百分点，类型i和j分别在位置x和y分离的距离r等于
where lambda[i] is the intensity function of the process of points of type i. For a multitype Poisson point process, this probability is p(r) = lambda[i](x) * lambda[j](y) so g[i,j](r) = 1.
其中lambda[i]是类型的i的过程中，点的强度的功能。对于进行多的泊松点的过程中，这个概率是p(r) = lambda[i](x) * lambda[j](y)所以g[i,j](r) = 1。
The command pcfcross.inhom estimates the inhomogeneous pair correlation using a modified version of the algorithm in pcf.ppp.
命令pcfcross.inhom估计在pcf.ppp的不均匀性对相关的算法使用修改后的版本。
If the arguments lambdaI and lambdaJ are missing or null, they are estimated from X by kernel smoothing using a leave-one-out estimator.
如果参数lambdaI和lambdaJ缺少或空，他们估计X的使用留一出核平滑估计。
值----------Value----------
A function value table (object of class "fv"). Essentially a data frame containing the variables
函数值表（类的对象"fv"）。本质上是一个数据框包含的变量
参数：r
the vector of values of the argument r at which the inhomogeneous cross-type pair correlation function g[i,j](r) has been estimated
矢量参数的值r不均匀的十字型对相关函数g[i,j](r)已估计
参数：theo
vector of values equal to 1, the theoretical value of g[i,j](r) for the Poisson process
矢量的值等于1，为泊松过程的理论价值g[i,j](r)
参数：trans
vector of values of g[i,j](r) estimated by translation correction
向量的值g[i,j](r)估计翻译校正
参数：iso
vector of values of g[i,j](r) estimated by Ripley isotropic correction
g[i,j](r)估计里普利各向同性修正值向量
as required.
根据需要。
（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----------
pcf.ppp, pcfinhom, pcfcross, pcfdot.inhom
pcf.ppp，pcfinhom，pcfcross，pcfdot.inhom
实例----------Examples----------
data(amacrine)
plot(pcfcross.inhom(amacrine, "on", "off", stoyan=0.1),
legendpos="bottom")
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。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-9-30 13:54:18
