[R-sig-ME] strategy to iterate over repeated measures/longitudinaldata

[David Duffy]

On Tue, 21 Jul 2009, Juliet Hannah wrote:

> Here is an example with inefficient, working code.
>

You could try using the jit compiler -- it does speed up looping

> for (predictor in predictor_names)
> {
>  long_data <-  make.univ( data.frame(wide_data$id,wide_data[,predictor]),
>   data.frame(
>        wide_data$measurement1,
>        wide_data$measurement2
>   )
> )
>  names(long_data) <- c('id', 'predictor', 'time','measurement')
>  myfit <- lmer(measurement ~ predictor + (1|id),data=long_data)
>  mycoefs[predictor] <- myfit at fixef[2]
> }
>


Cheers, David Duffy.

-- 
| David Duffy (MBBS PhD)                                         ,-_|\
| email: davidD at qimr.edu.au  ph: INT+61+7+3362-0217 fax: -0101  /     *
| Epidemiology Unit, Queensland Institute of Medical Research   \_,-._/
| 300 Herston Rd, Brisbane, Queensland 4029, Australia  GPG 4D0B994A v