I appreciate the pointers.
I am using ggplot2 2.1.0, but I was looking at the wrong version of the web page
example documentation.
The easiest way is to define the function
binomial_smooth <- function(...) {
geom_smooth(method = "glm", method.args = list(family =
"binomial"), ...)
}
And then call
ggplot(data = SSI.dt, aes(x = elapsed, y = 1 - control)) + geom_point() +
binomial_smooth()
Everything is now working smoothly.
Nathan
-----Original Message-----
From: David Winsemius <dwinsemius at comcast.net>
Date: Wednesday, June 29, 2016 at 16:10
To: Nathan L Pace <n.l.pace at utah.edu>
Cc: "r-help at r-project.org" <r-help at r-project.org>
Subject: Re: [R] ggplot2 stat_smooth
>
>> On Jun 29, 2016, at 2:17 PM, Nathan Pace <n.l.pace at utah.edu>
wrote:
>>
>> I want to add a logistic plot to data.
>>
>> My call to ggplot is:
>>
>>
>> ggplot(data = SSI.dt, aes(x = elapsed, y = 1 - control)) + geom_point()
+
>> stat_smooth(method = 'glm', family = binomial) +
>> xlab('Surgery Duration (min)') + ylab('Probability
SSI') +
>> labs(title = 'THA Surgical Site Infections')
>> ggsave(filename = 'Plots/SSI.Duration.pdf?)
>>
>> An error message is returned: Unknown parameters: family
>
>So you would have naturally looked at the acceptable arguments for the
function, right?
>
>>
>> Removing ?family = binomial? returns a straight line with points
appropriately placed on y = 0 and y = 1.
>>
>> I found some previous messages on markmail that listed my call as the
correct syntax structure.
>
>Perhaps they referred to older versions of the function.
>
>Looking at:
>
>?stat_smooth
>
> The current help page implements this by creating a helper function,
binomial_smooth, but using its example of the needed arguments I did just try:
>
>... + stat_smooth(method = 'glm', method.args = list(family =
"binomial"))
>
>
>With success.
>
>--
>David.
>>
>> I?d appreciate thoughts/pointers.
>>
>>
>> Nathan
>>
>> --
>> Nathan Pace, MD, MStat
>> Department of Anesthesiology
>> University of Utah
>> 801.581.6393
>> n.l.pace at utah.edu
>>
>>
>>
>>
>>
>>
>>
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>> and provide commented, minimal, self-contained, reproducible code.
>
>David Winsemius
>Alameda, CA, USA
>