includeTimeDummy(RSiena)
includeTimeDummy()所属R语言包：RSiena
Functions to include time dummy effects in a Siena model
锡耶纳模型中的职能，包括时间虚拟的影响
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function provides an interface to set the TimeDummy column on selected rows of a Siena effects object.
此功能提供了一个接口，中设置TimeDummy列锡耶纳的影响对象的选定行的。
用法----------Usage----------
includeTimeDummy(myeff, ..., timeDummy="all", name=myeff$name[1],
type="eval", interaction1="", interaction2="", include=TRUE,
character=FALSE)
参数----------Arguments----------
参数：myeff
a Siena effects object as created by getEffects
锡耶纳的影响对象创建的getEffects的
参数：...
short names to identify the effects which should be included or excluded.
短的名称来标识应包含或排除的效果。
参数：timeDummy
character string. Either "all" or the periods for which to create dummies, space delimited.
字符的字符串。 “所有”期间创建假人，以空格分隔。
参数：include
Boolean. default TRUE, but can be switched to FALSE to turn off an effect.
布尔值。缺省为TRUE，但也可以切换为FALSE，则关闭效果。
参数：name
Name of network for which effects are being included. Defaults to the first in the effects object.
网络名称的影响。默认的影响对象中的第一个。
参数：type
Type of effects to be included.
的特效类型。
参数：interaction1
Name of siena object where needed to completely identify the effects e.g. covariate name or behavior variable name.
的锡耶纳对象名称需要完全识别的影响，如协变量名或行为变量名。
参数：interaction2
Name of siena object where needed to completely identify the effects e.g. covariate name or behavior variable name.
的锡耶纳对象名称需要完全识别的影响，如协变量名或行为变量名。
参数：character
Boolean: are the effect names character strings or not
布尔效果名称的字符串或不
Details
详细信息----------Details----------
The arguments should identify the effects completely. The
的参数应该完全确定的影响。 “
值----------Value----------
An updated version of the input effects object, with the include columns for one or more rows updated. Details of the rows altered will be printed.
更新版本的输入效果的对象，包括一个或多个行更新的列。行更改的详细信息将被打印出来。
（作者）----------Author(s)----------
Josh Lospinoso
参考文献----------References----------
for general information on RSiena.
参见----------See Also----------
sienaTimeTest, getEffects,
sienaTimeTest，getEffects，
实例----------Examples----------
## Estimate a restricted model[＃估计受限制的模型]
mymodel <- sienaModelCreate(fn=simstats0c, nsub=2, n3=100)
mynet1 <- sienaNet(array(c(s501, s502, s503), dim=c(50, 50, 3)))
mydata <- sienaDataCreate(mynet1)
myeff <- getEffects(mydata)
myeff <- includeEffects(myeff, transTrip, balance)
ans <- siena07(mymodel, data=mydata, effects=myeff, batch=TRUE)
## Conduct the score type test to assess whether heterogeneity is present.[＃进行测试，以评估是否存在异质性的计分方式。]
tt <- sienaTimeTest(ans)
## Suppose that we wish to include two time dummies.[＃假设我们希望包括两个假人。]
## Add them in the following way:[＃通过以下方式：]
myeff <- includeTimeDummy(myeff, recip, balance, timeDummy="2")
ans2 <- siena07(mymodel, data=mydata, effects=myeff, batch=TRUE)
## Re-assess the time heterogeneity[＃重新评估的时间异质性]
tt2 <- sienaTimeTest(ans2)
## And so on..[＃..]
## A demonstration of RateX heterogeneity. Note that rate[＃RateX异质性的示范。需要注意的是速度]
## interactions are not implemented in general, just for[＃交互，总体执引号况，只是]
## Rate x cCovar.[＃率X cCovar。]
## Not run: [＃不运行：]
mymodel <- sienaModelCreate(fn=simstats0c, nsub=2, n3=100)
mynet1 <- sienaNet(array(c(s501, s502, s503), dim=c(50, 50, 3)))
myccov <- coCovar(s50a[,1])
mydata <- sienaDataCreate(mynet1, myccov)
myeff <- getEffects(mydata)
myeff <- includeEffects(myeff, transTrip, balance)
myeff <- includeTimeDummy(myeff, RateX, type="rate",
interaction1="myccov")
ans <- siena07(mymodel, data=mydata, effects=myeff, batch=TRUE)
## 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。
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 2012-9-28 21:56:56
