Dear All, Herewith, is a sample?of?mixed model command from the help menu. ? fm1 <- lme(distance ~ age, data = Orthodont) # random is ~ age fm1 ? I noticed that there is no standard error for the fixed effects. Could someone advice me the way to extract it? ? Thank you Fir
standar error for the fixed effects
4 messages · FMH, Ken Beath
summary(fm1) Obtaining a copy of Pinheiro and Bates is strongly recommended. Ken
On 24/09/2009, at 8:28 PM, FMH wrote:
Dear All, Herewith, is a sample of mixed model command from the help menu. fm1 <- lme(distance ~ age, data = Orthodont) # random is ~ age fm1 I noticed that there is no standard error for the fixed effects. Could someone advice me the way to extract it? Thank you Fir
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Thank you for the hint. I've even tried it but it?did not?give any standard error for the fixed effects. ----- Original Message ---- From: Ken Beath <ken at kjbeath.com.au> To: FMH <kagba2006 at yahoo.com> Cc: r-sig-mixed-models at r-project.org Sent: Thursday, September 24, 2009 11:52:31 AM Subject: Re: [R-sig-ME] standar error for the fixed effects summary(fm1) Obtaining a copy of Pinheiro and Bates is strongly recommended. Ken
On 24/09/2009, at 8:28 PM, FMH wrote:
Dear All, Herewith, is a sample of mixed model command from the help menu. fm1 <- lme(distance ~ age, data = Orthodont) # random is ~ age fm1 I noticed that there is no standard error for the fixed effects.? Could someone advice me the way to extract it? Thank you Fir
_______________________________________________ R-sig-mixed-models at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
On 24/09/2009, at 9:27 PM, FMH wrote:
Thank you for the hint. I've even tried it but it did not give any standard error for the fixed effects.
I'm not certain what you mean. They are clearly there after Value.
Ken
> 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
StdDev Corr
(Intercept) 2.3270338 (Intr)
age 0.2264276 -0.609
Residual 1.3100399
Fixed effects: distance ~ age
Value Std.Error DF t-value p-value
(Intercept) 16.761111 0.7752461 80 21.620375 0
age 0.660185 0.0712533 80 9.265334 0
Correlation:
(Intr)
age -0.848
Standardized Within-Group Residuals:
Min Q1 Med Q3 Max
-3.223106065 -0.493760858 0.007316633 0.472151095 3.916032722
Number of Observations: 108
Number of Groups: 27
>
----- Original Message ---- From: Ken Beath <ken at kjbeath.com.au> To: FMH <kagba2006 at yahoo.com> Cc: r-sig-mixed-models at r-project.org Sent: Thursday, September 24, 2009 11:52:31 AM Subject: Re: [R-sig-ME] standar error for the fixed effects summary(fm1) Obtaining a copy of Pinheiro and Bates is strongly recommended. Ken On 24/09/2009, at 8:28 PM, FMH wrote:
Dear All, Herewith, is a sample of mixed model command from the help menu. fm1 <- lme(distance ~ age, data = Orthodont) # random is ~ age fm1 I noticed that there is no standard error for the fixed effects. Could someone advice me the way to extract it? Thank you Fir
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