Predict.matrix(mgcv)
Predict.matrix()所属R语言包：mgcv
Prediction methods for smooth terms in a GAM
在一个自由亚齐运动的顺利条款的预测方法
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Takes smooth objects produced by smooth.construct methods and obtains the matrix mapping the parameters associated with such a smooth to the predicted values of the smooth at a set of new covariate values.
注意到smoothsmooth.construct方法，并获得这样一个平稳顺利的预测值在一套新的协价值观相关的参数映射矩阵生成的对象。
In practice this method is often called via the wrapper function PredictMat.
在实践中，这种方法通常被称为通过包装函数PredictMat。
用法----------Usage----------
Predict.matrix(object,data)
Predict.matrix2(object,data)
参数----------Arguments----------
参数：object
is a smooth object produced by a smooth.construct method function. The object contains all the information required to specify the basis for a term of its class, and this information is used by the appropriate Predict.matrix function to produce a prediction matrix for new covariate values. Further details are given in smooth.construct.
是顺利对象smooth.construct方法的功能产生。该对象包含指定，任期为它的类的基础上所需的所有信息，这些信息是使用适当的Predict.matrix函数产生新协值的预测矩阵。在smooth.construct给出进一步的细节。
参数：data
A data frame containing the values of the (named) covariates at which the smooth term is to be evaluated. Exact requirements are as for smooth.construct and smooth.construct2 </table>
一个数据框包含的值（命名）的协变量平稳长期进行评估。精确的要求是为smooth.construct和smooth.construct2</表>
Details
详情----------Details----------
Smooth terms in a GAM formula are turned into smooth specification objects of class xx.smooth.spec during processing of the formula. Each of these objects is converted to a smooth object using an appropriate smooth.construct function. The Predict.matrix functions are used to obtain the matrix that will map the parameters associated with a smooth term to the predicted values for the term at new covariate values.
在GAM公式顺利变成类xx.smooth.spec在处理公式的顺利规范对象。这些对象都被转换到一个平稳的对象使用一个合适的smooth.construct功能。 Predict.matrix的函数用于获取矩阵，将具有光滑的任期，任期为在新的协值的预测值相关的参数映射。
Note that new smooth classes can be added by writing a new smooth.construct method function and a corresponding Predict.matrix method function: see the example code provided for
请注意，可以通过写一个新的smooth.construct方法的功能和相应的Predict.matrix方法功能添加新的平滑类：提供的示例代码
值----------Value----------
A matrix which will map the parameters associated with the smooth to the vector of values of the smooth evaluated at the covariate values given in object. If the smooth class is one which generates offsets the corresponding offset is returned as
这将映射到向量在object协值评估值的顺利平稳的相关参数矩阵。如果顺利的类是一个产生相应的偏移返回偏移
作者（S）----------Author(s)----------
Simon N. Wood <a href="mailto:simon.wood@r-project.org">simon.wood@r-project.org</a>
参考文献----------References----------
and Hall/CRC Press.
参见----------See Also----------
gam,gamm,
gam，gamm
举例----------Examples----------
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。
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发表于 2012-2-16 22:03:09
