Perhaps:

plot(ps)
with(ps, abline(v=mean(time), h=mean(fluorescence), col="red",
lty="dashed"))


On Mon, Apr 7, 2008 at 5:19 AM, jarod_v6 <jarod_v6@libero.it> wrote:

> Hi list
>
> Maybe someone can help with the following problem (thanks in advance):
> I need to analisy a long list of data time \fluoscence
>
> I want to make one plot with standard deviation and the average data...
> Could you suggest me how to make that..
> The data have this distribution:
> How can read and extrapolate this data?
>
> pippo.csv
>
> ps <- read.table(pippo.csv)
> time    fluorescence
> 0;       0
> 4.013; 62.96
> 6.053 ;112.3
> 24.14; 106.2
> ...
> How can use a plot with standard deviation of all data: time versus
> fluorescen
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>



-- 
Henrique Dallazuanna
Curitiba-Paraná-Brasil
25° 25' 40" S 49° 16' 22" O

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