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r - 从 nlme 摘要中提取随机效应

转载 作者:行者123 更新时间:2023-12-04 06:53:54 25 4
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我可以使用 summary(fm1) 从 nlme 摘要中提取固定效果.但苦于如何获得Random effects:部分。

fm1 <- lme(distance ~ age, Orthodont, random = ~ age | Subject)
summary(fm1)
Linear mixed-effects model fit by REML
Data: Orthodont
AIC BIC logLik
454.6367 470.6173 -221.3183

Random effects:
Formula: ~age | Subject
Structure: General positive-definite, Log-Cholesky parametrization
StdDev Corr
(Intercept) 2.3270340 (Intr)
age 0.2264278 -0.609
Residual 1.3100397

Fixed effects: distance ~ age
Value Std.Error DF t-value p-value
(Intercept) 16.761111 0.7752460 80 21.620377 0
age 0.660185 0.0712533 80 9.265333 0
Correlation:
(Intr)
age -0.848

Standardized Within-Group Residuals:
Min Q1 Med Q3 Max
-3.223106086 -0.493761144 0.007316631 0.472151121 3.916033210

Number of Observations: 108
Number of Groups: 27

任何帮助将不胜感激。谢谢

最佳答案

使用 ranef(fm1)提取每个主题。

更新以提供从汇总表中提取的代码:

>VarCorr(fm1)
Subject = pdLogChol(age)
Variance StdDev Corr
(Intercept) 5.41508758 2.3270341 (Intr)
age 0.05126955 0.2264278 -0.609
Residual 1.71620400 1.3100397

> temp <- VarCorr(fm1)
> temp[,2]
(Intercept) age Residual
"2.3270341" "0.2264278" "1.3100397"

> temp[1,2]
[1] "2.3270341"

关于r - 从 nlme 摘要中提取随机效应,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/9043565/

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