Joshua Wiley jwiley.psych at gmail.com
Wed Nov 3 01:25:35 CET 2010

```Dear Shige,

This is a feature that lets you view information about the specific
data you are viewing.  If you merely want a visual adjustment, use
coord_cartesian():

year.plot + stat_summary(fun.y = "mean", geom = "line") +
coord_cartesian(xlim = c(0, 0.1))

HTH,

Josh

On Tue, Nov 2, 2010 at 5:20 PM, Shige Song <shigesong at gmail.com> wrote:
> Dear Josh and Abhijit,
>
> Thanks for the help. The interesting thing is that the option "limits
> = c(0, .1)" or "ylim(0,0.1)" also eliminates cases whose values are
> greater than 0.1 and report missing values, which is not what I want.
> Is there a way to keep all the cases for the computation of the
> summary statistics and change the y limits in the final graph?
>
> Shige
>
> On Tue, Nov 2, 2010 at 10:33 AM, Joshua Wiley <jwiley.psych at gmail.com> wrote:
>> Dear Shige,
>>
>> You can use scale_y_continuous() to achieve this.
>>
>> year.plot <- ggplot(d, aes(year, rate))
>> year.plot + stat_summary(fun.y = "mean", geom = "line") +
>>  scale_y_continuous(limits = c(0, .1))
>>
>> where limits may be whatever you like for the y axis.
>>
>> Cheers,
>>
>> Josh
>>
>> On Tue, Nov 2, 2010 at 6:57 AM, Shige Song <shigesong at gmail.com> wrote:
>>> Dear All,
>>>
>>> I am trying to graph a simple scatter plot where the x axis is year
>>> and the y axis is a percentage (percentage of infant death). Instead
>>> of plotting the raw data, I want to plot summary statistics such as
>>> mean and median. Here is the problem: the value range of y is between
>>> 0 and 1, but since infant death is a rare event, the mean and median
>>> is very low (something like 5%), which shows up as a horizontal line
>>> at the bottom of the figure. My question is: how do I change the scale
>>> of the y-axis so that it does not have the range between 0 and 1 but
>>> between 0 and 0.1? Many thanks.
>>>
>>> By the way, I am using ggplot2, and here is my code:
>>>
>>> -------------------------------
>>> year.plot <- ggplot(d, aes(year, rate))
>>> year.plot + stat_summary(fun.y = "mean", geom = "line")
>>> -------------------------------
>>>
>>> Best,
>>> Shige
>>>
>>> ______________________________________________
>>> R-help at r-project.org mailing list
>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>> and provide commented, minimal, self-contained, reproducible code.
>>>
>>
>>
>>
>> --
>> Joshua Wiley
>> Ph.D. Student, Health Psychology
>> University of California, Los Angeles
>> http://www.joshuawiley.com/
>>
>

--
Joshua Wiley
Ph.D. Student, Health Psychology
University of California, Los Angeles
http://www.joshuawiley.com/

```