我可以使用summary(fm1)
从nlme摘取固定效应,但是我不知道如何获取随机效应:
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
任何帮助都将不胜感激。谢谢。
ranef
提供随机效应,但标准差部分来自summary(fm1)
中的Random Effects:
。 - MYaseen208print.modelStruct
处迷失了方向。 - Roman Luštrik