mean_cl_normal", aes(x=factor(x),y=y),
size=1.2, color="red")
ggp
will overlay mean and 95% CL (assuming normal distribution of error) at each
level of x.
-Original Message-
From: Johannes Radinger [mailto:johannesradin...@gmail.com]
Sent: Tuesday, November 19, 2013 10:01
On Nov 19, 2013, at 2:43 AM, Johannes Radinger wrote:
> Hi,
>
> I'd like to plot a boxplot and use a scatter.smooth line plot as an overlay
> for this plot.
> This works except for the problem that the x-axis ticks for both plots are
> differently spaced:
> The boxplot ticks are closer and the s
Thanks...that works great!
/J
On Tue, Nov 19, 2013 at 2:39 PM, Adams, Jean wrote:
> Use lines() with loess.smooth() instead of scatter.smooth() to add to the
> already existing boxplot. For example,
>
> boxplot(y~x)
> lines(loess.smooth(x, y))
>
> Jean
>
>
> On Tue, Nov 19, 2013 at 4:43 AM, J
Use lines() with loess.smooth() instead of scatter.smooth() to add to the
already existing boxplot. For example,
boxplot(y~x)
lines(loess.smooth(x, y))
Jean
On Tue, Nov 19, 2013 at 4:43 AM, Johannes Radinger <
johannesradin...@gmail.com> wrote:
> Hi,
>
> I'd like to plot a boxplot and use a s
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