[R] Question about ggplot2

Shige Song shigesong at gmail.com
Wed Nov 3 01:20:03 CET 2010


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
>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>
>
> --
> Joshua Wiley
> Ph.D. Student, Health Psychology
> University of California, Los Angeles
> http://www.joshuawiley.com/
>



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