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 <[EMAIL PROTECTED]> 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 [[alternative HTML version deleted]]
______________________________________________ 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.
