model.matrixvlm(VGAM)
model.matrixvlm()所属R语言包：VGAM
Construct the Design Matrix of a VLM Object
构建设计矩阵的VLM对象
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Creates a design matrix. Two types can be returned: a large one (class "vlm" or one that inherits from this such as "vglm") or a small one (such as returned if it were of class "lm").
创建一个设计矩阵。可以返回两种类型：一个大的（类"vlm"或一个继承自这个如"vglm"）或一个小的（例如返回的，如果它是类"lm"）。
用法----------Usage----------
model.matrixvlm(object, type = c("vlm", "lm", "lm2", "bothlmlm2"),
lapred.index = NULL, ...)
参数----------Arguments----------
参数：object
an object of a class that inherits from the vector linear model (VLM).
继承的一个类的对象从向量的线性模型（VLM）。
参数：type
Type of design matrix returned. The first is the default. The value "vlm" is the VLM model matrix corresponding to the formula argument. The value "lm" is the LM model matrix corresponding to the formula argument. The value "lm2" is the second (LM) model matrix corresponding to the form2 argument. The value "bothlmlm2" means both LM and VLM model matrices.
设计矩阵类型返回。第一个是默认的。值"vlm"是VLM模型，矩阵formula参数。值"lm"是LM模型矩阵对应的formula参数。值"lm2"是第二个（LM）模型矩阵对应的form2参数。值"bothlmlm2"是指既LM和VLM模型的矩阵。
参数：lapred.index
Single integer. The index for a linear/additive predictor, it must have a value from the set 1:M, and type = "lm" must be assigned. Then it returns a subset of the VLM matrix corresponding to the lapred.indexth linear/additive predictor; this is a LM-type matrix.
一个整数。该指数为一个线性/添加剂的预测中，它必须有一个值的集合1:M，type = "lm"必须被分配。然后，它返回一个子集的VLM矩阵对应于lapred.index个线性/添加剂预测器;这是LM型矩阵。
参数：...
further arguments passed to or from other methods. These include data (which is a data frame created with model.framevlm), contrasts.arg, and xlev. See model.matrix for more information.
进一步的参数传递给其他方法。这些措施包括data（这是一个数据框创建model.framevlm）contrasts.arg和xlev。见model.matrix更多信息。
Details
详细信息----------Details----------
This function creates a design matrix from object. This can be a small LM object or a big VLM object (default). The latter is constructed from the former and the constraint matrices.
这个函数创建一个设计矩阵object。这可以是一个的小LM对象或一个大VLM对象（默认）。后者是从前者和约束矩阵构成。
This code implements smart prediction (see smartpred).
此代码实现智能预测（见smartpred的）。
值----------Value----------
The design matrix for a regression model with the specified formula and data. If type = "bothlmlm2" then a list is returned with components "X" and "Xm2".
指定的配方和数据的回归模型的设计矩阵。如果type = "bothlmlm2"然后返回一个列表组件"X"和"Xm2"。
参考文献----------References----------
Reduced-rank vector generalized linear models. Statistical Modelling, 3, 15–41.
Data for models. Chapter 3 of Statistical Models in S eds J. M. Chambers and T. J. Hastie, Wadsworth & Brooks/Cole.
参见----------See Also----------
model.matrix, model.framevlm, predictvglm, smartpred.
model.matrix，model.framevlm，predictvglm，smartpred。
实例----------Examples----------
# Illustrates smart prediction[说明智能预测]
pneumo = transform(pneumo, let = log(exposure.time))
fit = vglm(cbind(normal, mild, severe) ~ poly(c(scale(let)), 2),
family = multinomial,
data = pneumo, trace = TRUE, x = FALSE)
class(fit)
fit@x # Not saved on the object[不保存的对象]
model.matrix(fit)
model.matrix(fit, lapred.index = 1, type = "lm")
model.matrix(fit, lapred.index = 2, type = "lm")
(Check1 = head(model.matrix(fit, type = "lm")))
(Check2 = model.matrix(fit, data = head(pneumo), type = "lm"))
all.equal(c(Check1), c(Check2))
q0 = head(predict(fit))
q1 = head(predict(fit, newdata = pneumo))
q2 = predict(fit, newdata = head(pneumo))
all.equal(q0, q1) # Should be TRUE[应该是真实的]
all.equal(q1, q2) # Should be TRUE[应该是真实的]
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 2012-10-1 15:44:55
