is.multitype.ppm(spatstat)
is.multitype.ppm()所属R语言包：spatstat
Test Whether A Point Process Model is Multitype
测试点过程模型是多类型，是否有
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Tests whether a fitted point process model involves “marks” attached to the points that classify the points into several types.
测试是否安装点过程模型包括连接点分类，分为好几种类型的“标记”。
用法----------Usage----------
## S3 method for class 'ppm'
is.multitype(X, ...)
参数----------Arguments----------
参数：X
Fitted point process model (object of class "ppm") usually obtained from ppm.
合身点过程模型（对象类"ppm"）通常获得ppm的。
参数：...
Ignored.
忽略。
Details
详细信息----------Details----------
“Marks” are observations attached to each point of a point pattern. For example the longleaf dataset contains the locations of trees, each tree being marked by its diameter; the amacrine dataset gives the locations of cells of two types (on/off) and the type of cell may be regarded as a mark attached to the location of the cell.
“标志”是连接到每个点的点模式的意见。例如longleaf数据集包含的树木的位置，它的直径被标记每个树;amacrine数据集给出了两种类型的单元（开/关）的位置和类型的单元可以是视为连接到的小区的位置的标记。
The argument X is a fitted point process model (an object of class "ppm") typically obtained by fitting a model to point pattern data using ppm.
参数X是一个拟合点过程模型（对象类"ppm"）通常得到的拟合模型使用ppm点模式数据。
This function returns TRUE if the original data (to which the model X was fitted) were a multitype point pattern.
这个函数返回TRUE如果原始数据（模型X是安装）是一个多类型的点模式。
Note that this is not the same as testing whether the model involves terms that depend on the marks (i.e. whether the fitted model ignores the marks in the data). Currently we have not implemented a test for this.
请注意，这是不一样的作为测试模型是否涉及条款依赖于标记（即是否合适的模型忽略了标记的数据）。目前我们还没有实现测试。
If this function returns TRUE, the implications are (for example) that any simulation of this model will require simulation of random marks as well as random point locations.
如果这个函数返回TRUE，其意义是任何模拟这种模式将需要模拟的随机标记以及随机点的位置（例如）。
值----------Value----------
Logical value, equal to TRUE if X is a model that was fitted to a multitype point pattern dataset.
逻辑值，等于TRUE的X是一个模型，它是安装在一个多类型模式的数据集。
（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----------
is.multitype, is.multitype.ppp
is.multitype，is.multitype.ppp
实例----------Examples----------
data(lansing)
# Multitype point pattern --- trees marked by species[多类型的点模式---树木标记的物种]
fit1 <- ppm(lansing, ~ marks, Poisson())
is.multitype(fit1)
# TRUE[TRUE]
fit2 <- ppm(lansing, ~ 1, Poisson())
is.multitype(fit2)
# TRUE[TRUE]
data(cells)
# Unmarked point pattern[未标记的点模式]
fit3 <- ppm(cells, ~ 1, Poisson())
is.multitype(fit3)
# FALSE[FALSE]
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 13:36:52
