R语言 simsem包 getCutoffNonNested()函数中文帮助文档(中英文对照)

loveR

getCutoffNonNested(simsem)
getCutoffNonNested()所属R语言包：simsem

                                         Find fit indices cutoff for non-nested model comparison given a priori alpha level
                                         截止先验α水平的非嵌套模型的比较拟合指数

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

Extract fit indices information from the simulation of two models fitting on the datasets created from both models and getCutoff of fit indices given a priori alpha level
从两个模型拟合的数据集创建的契合度都的模型和getCutoff的先验α水平的模拟，拟合指数信息提取


用法----------Usage----------


getCutoffNonNested(dat1Mod1, dat1Mod2, dat2Mod1=NULL, dat2Mod2=NULL,
alpha=.05, usedFit=NULL, onetailed=FALSE, nVal = NULL, pmMCARval = NULL,
pmMARval = NULL, df = 0)



参数----------Arguments----------

参数：dat1Mod1
SimResult that saves the simulation of analyzing Model 1 by datasets created from Model 1  
SimResult，节省了模拟分析模型1模型1所创建的数据集


参数：dat1Mod2
SimResult that saves the simulation of analyzing Model 2 by datasets created from Model 1  
SimResult，节省了模拟分析模型2模型1所创建的数据集


参数：dat2Mod1
SimResult that saves the simulation of analyzing Model 1 by datasets created from Model 2  
SimResult，节省了模拟分析模型1模型2所创建的数据集


参数：dat2Mod2
SimResult that saves the simulation of analyzing Model 2 by datasets created from Model 2  
SimResult，节省了模拟分析模型2模型2所创建的数据集


参数：alpha
A priori alpha level  
先验α水平


参数：usedFit
Vector of names of fit indices that researchers wish to get cutoffs from. The default is to get cutoffs of all fit indices.  
向量的拟合指数，研究人员希望得到截断的名称。默认是所有的拟合指数的临界值。


参数：onetailed
If TRUE, the function will find the cutoff from one-tail test. If FALSE, the funciton will find the cutoff from two-tailed test.  
如果TRUE，功能会发现截止的单尾测试。如果FALSE，该功能可按会发现双尾检验截止。


参数：nVal
The sample size value that researchers wish to find the fit indices cutoffs from.  
样本大小，研究人员希望找到拟合指数临界值的值。


参数：pmMCARval
The percent missing completely at random value that researchers wish to find the fit indices cutoffs from.  
％完全丢失，研究人员希望找到拟合指数临界值的随机值。


参数：pmMARval
The percent missing at random value that researchers wish to find the fit indices cutoffs from.  
失踪的随机值，研究人员希望找到拟合指数临界值的百分比。


参数：df
The degree of freedom used in spline method in predicting the fit indices by the predictors. If df is 0, the spline method will not be applied.  
预测的拟合指数的预测中使用的样条方法的自由度。如果df是0，样条方法将不适用。


值----------Value----------

One- or two-tailed cutoffs of several fit indices with a priori alpha level. The cutoff is based on the fit indices from Model 1 subtracted by the fit indices from Model 2.
单组分或双尾临界值的拟合指数的先验α水平。截止基础上减去2从模型的拟合指数的拟合指数模型1。


（作者）----------Author(s)----------



Sunthud Pornprasertmanit (University of Kansas; <a href="mailto:psunthud@ku.edu">psunthud@ku.edu</a>)




参见----------See Also----------

SimResult for a detail of simResult getCutoff for a detail of finding cutoffs for absolute fit getCutoffNested for a detail of finding cutoffs for nested model comparison plotCutoffNonNested Plot cutoffs for non-nested model comparison
SimResult一个细节simResultgetCutoff一个细节找到绝对适合的截止时间为getCutoffNested一个细节的嵌套模型的比较发现临界值plotCutoffNonNested图截断非嵌套模型的比较


实例----------Examples----------


## Not run: [＃不运行：]
n1 <- simNorm(0, 0.1)
u79 <- simUnif(0.7, 0.9)

loading.A <- matrix(0, 8, 2)
loading.A[1:3, 1] <- NA
loading.A[4:8, 2] <- NA
LX.A <- simMatrix(loading.A, 0.7)
latent.cor <- matrix(NA, 2, 2)
diag(latent.cor) <- 1
RPH <- symMatrix(latent.cor, "u79")
RTD <- symMatrix(diag(8))
CFA.Model.A <- simSetCFA(LY = LX.A, RPS = RPH, RTE = RTD)

error.cor.mis <- matrix(NA, 8, 8)
diag(error.cor.mis) <- 1
RTD.Mis <- symMatrix(error.cor.mis, "n1")
CFA.Model.A.Mis <- simMisspecCFA(RTE = RTD.Mis)

loading.B <- matrix(0, 8, 2)
loading.B[1:4, 1] <- NA
loading.B[5:8, 2] <- NA
LX.B <- simMatrix(loading.B, 0.7)
CFA.Model.B <- simSetCFA(LY = LX.B, RPS = RPH, RTE = RTD)

SimData.A <- simData(CFA.Model.A, 500)
SimData.B <- simData(CFA.Model.B, 500)

SimModel.A <- simModel(CFA.Model.A)
SimModel.B <- simModel(CFA.Model.B)

# The actual number of replications should be greater than 10.[的实际数目的复制应该是大于10。]
Output.A.A <- simResult(10, SimData.A, SimModel.A)
Output.A.B <- simResult(10, SimData.A, SimModel.B)
Output.B.A <- simResult(10, SimData.B, SimModel.A)
Output.B.B <- simResult(10, SimData.B, SimModel.B)

getCutoffNonNested(Output.A.A, Output.A.B, Output.B.A, Output.B.B)
getCutoffNonNested(Output.A.A, Output.A.B)
getCutoffNonNested(Output.B.B, Output.B.A)

## 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。