plotting a function with given formula in ggplot2
Hi: Borrowing from this thread, courtesy of Brian Diggs: http://groups.google.com/group/ggplot2/browse_thread/thread/478f9e61d41b4678/ed323c497db61156?lnk=gst&q=stat_function#ed323c497db61156 ...here's a small reproducible example: ddf <- data.frame(x = 1:10, y = 0.4 + 0.6 * (1:10) + rnorm(10)) # Find the linear model coefficients lmc <- coef(lm(y ~ x, data = ddf)) # Create a function to produce the fitted line lmeq <- function(x) lmc[1] + lmc[2] * x # Construct the ggplot() and use stat_function(): ggplot(ddf, aes(x = x, y = y)) + geom_point() + stat_function(fun = lmeq, colour = 'red', size = 1) HTH, Dennis
On Thu, Nov 10, 2011 at 10:47 AM, Curiouslearn <curiouslearn at gmail.com> wrote:
Hi All,
I have a scatter plot produced using ggplot2 and I want to add the
regression line to this scatter plot. I suppose I can use
geom_smooth() to do this, but for the sake of learning ( I am new both
to R and ggplot2), I want to try and add it as a function (something
that curve() does in the standard R plotting). I did some search and
found that stat_function() can be used for this. But somehow it is not
working. The following is my code. Can you please tell me where I am
going wrong and what the correct code would be:
reg1 <- lm(kid_score ~ mom_hs, data=iqdata)
scatter ?<- ?ggplot() + geom_point(data=iqdata,
aes(x=as.factor(mom_hs), y=kid_score) )
? ? ? ? ? ? ? ? ? ? ? ? ? ? ? + xlab("Mother's High School Status")
? ? ? ? ? ? ? ? ? ? ? ? ? ? ? + ylab("Children's Test Score")
? ? ? ? ? ? ? ? ? ? ? ? ? ? ? + stat_function(fun=function(x)
coef(reg1)[1] + coef(reg1)[2] * x)
I understand that you probably do not have the data I am using (I am
trying this out from Gelman Hill's book on Multilevel models). But I
was hoping you may be able to point out the error without the data.
Thanks for your help.
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