Sorry i realize my example was silly. I've played a bit more and i
now have a working example using base graphics and the plotCI
function from the plotrix package (reproduced for self-consistency).
I start with some scatterplot, and I want to group the data in say 4
arbitrary intervals along
On Jan 23, 2008 10:44 AM, baptiste Auguié <[EMAIL PROTECTED]> wrote:
> Hi,
>
> I've been trying to do the following simple thing: given a data.frame,
>
> > library(reshape)
> > library(ggplot2)
> >
> > df <- data.frame(x=c(1:10),y=sin(1:10),z=cos(1:10))
> > dfm<-melt(df, id=c("x"), measured=c("y","
I don't understant what you're doing with the means
calculation.
Howvever if you want the standard errors ( your se
function) then will this do what you want?
df <- data.frame(x=c(1:10),y=sin(1:10),z=cos(1:10));
df
dfm<-melt(df, id=c("x"), measured=c("y","z")); dfm
se <- function(x) sd(x)/sqr
Hi,
I've been trying to do the following simple thing: given a data.frame,
> library(reshape)
> library(ggplot2)
>
> df <- data.frame(x=c(1:10),y=sin(1:10),z=cos(1:10))
> dfm<-melt(df, id=c("x"), measured=c("y","z"))
i want to plot y and z against x, and add vertical errorbars to the
points
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