quick (and dirty) solution:
y.up<- means+stand.error
y.dwn<- means-stand.error
plot(means,ylim=c(3.5,10))
for (i in 1:length(means)) arrows(i,means[i],i,y.up[i],length=0.1)
for (i in 1:length(means)) arrows(i,means[i],i,y.dwn[i],length=0.1)
Giacomo Prodi wrote:
>
> hello, ladyes and gentlem
I don't think that you're actually creating a
scatterplot if the x-axis is a factor. You're getting
a boxplot.
If you want a scatterplot then something like this
might work.
==
means<-c(4,6,8)
stand.error<-c(0.1,0.3,0.5)
aa <- factor(c("A","B"
On Wed, Mar 12, 2008 at 5:37 AM, Giacomo Prodi <[EMAIL PROTECTED]> wrote:
> hello, ladyes and gentlemans.
>
> check this:
>
> means<-c(4,6,8)
> stand.error<-c(0.1,0.3,0.5)
>
> now i've strongly tryed to scatterplot the
> means(y-axis),by showing their sd with the
> arrow(..,code=3,angle=90) f
get instant
information with 'locator()', which returns coordinates of mouse clicked
locations in plots.
cheers, /rené
> -Ursprüngliche Nachricht-
> Von: "Giacomo Prodi" <[EMAIL PROTECTED]>
> Gesendet: 12.03.08 11:56:45
> An: r-help@r-project.org
>
hello, ladyes and gentlemans.
check this:
means<-c(4,6,8)
stand.error<-c(0.1,0.3,0.5)
now i've strongly tryed to scatterplot the
means(y-axis),by showing their sd with the
arrow(..,code=3,angle=90) function.
The problem is that my x-axis has categorical values
(say, factor(x)), and the arrows()
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