Hi
r-help-boun...@r-project.org napsal dne 13.07.2010 12:18:21:
> Hi R,
>
>
>
> I am examining the mean returns 10 days before and 10 days after a
> event. Now I have several events the corresponding pre and post event 10
> day mean returns... something like this
>
>
>
> Pre_Start Pre_End Pre_Mean Pre_SD
> Post_Start Post_End Post_Mean
> Post_SD
>
> 1 2002-02-22 2002-03-08 0.004968027
> 0.017443954 2002-03-12 2002-03-25 0.0004099697
> 0.012529438
>
> 2 2002-04-25 2002-05-08 -0.006371706
> 0.011008257 2002-05-10 2002-05-23 -0.0022429404
> 0.007736497
>
> 3 2002-07-24 2002-08-06 0.005083225
> 0.015508255 2002-08-08 2002-08-21 0.0048237816
> 0.008116529
>
> 4 2002-07-24 2002-08-06 0.005083225
> 0.015508255 2002-08-08 2002-08-21 0.0048237816
> 0.008116529
>
> 5 2003-01-08 2003-01-21 0.004439480
> 0.012310963 2003-01-23 2003-02-05 -0.0064620002
> 0.012731789
>
>
>
> I obtained a barplot using the below
>
> layout(matrix(c(1,1,2,2),ncol=2,byrow=T))
>
> barplot(rnorm(10),main="Pre_Event_Returns",col="red")
>
> barplot(rnorm(10),main="Post_Event_Returns",col="blue")
Maybe
barplot(rbind(rnorm(10),
rnorm(10)),main="Event_Returns",col=c("red","blue"), beside=T)
+ appropriate legend
Regards
Petr
>
>
>
> However I would like to know if it is possible to do the following-
> merge the two barplots i.e. a single barplot which will include both the
> pre and post event returns
>
> Any suggestions would be appreciated
>
> Ravi
>
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>
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