On Sep 7, 2011, at 22:30 , Schatzi wrote:

> That works perfect. Thank you.
> 


Also, for an async solution, try something along these lines

library(tcltk)
f <- function() barplot(rpois(4, lambda=3))
g <- function() {f(); if (run) tcl("after", 4000, g)} # reschedule after 4000 ms
run <- TRUE; g()

To stop it:

run <- FALSE

(With this structure, the time to run f() is added into the interval between 
invocations. For tighter timing control, reschedule before running f(), but 
then you'd better be sure it completes in time for the next iteration.)

> On Sep 7, 2011, at 3:27 PM, Schatzi wrote:
> 
>> I would like some code to rerun every minute, automatically (it calls 
>> time and I want this to update).
>> Here is the code (it is really the plot that I am interested in): 
>> 
>> 
>> hourc<-as.numeric(substr(date(),12,13))
>> minc<-as.numeric(substr(date(),15,16))
>> ftime<-c(hourc,minc)
>> barplot(ftime, axes = FALSE, main="Time")
>> 
>> 
>> Is there any way to get this to automatically update every minute or 
>> do I have to rerun it manually each time I want to see the updated plot?
>> 
> 
> while (TRUE) {
> hourc<-as.numeric(substr(date(),12,13))
> minc<-as.numeric(substr(date(),15,16))
> ftime<-c(hourc,minc)
> barplot(ftime, axes = FALSE, main="Time")
> Sys.sleep(60)
> }
> 
> 
>> I am using microsoft (vista). 
> 
> 
> -----
> In theory, practice and theory are the same. In practice, they are not - 
> Albert Einstein
> --
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> 
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-- 
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Email: pd....@cbs.dk  Priv: pda...@gmail.com
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