Please note I am beginner with R. I have merged two data frames with one common column with merge() method. I have obtained data frame like:
x y1 y2
1 3
See also:
(these are the results of searching [r] ggplot melt
, although you might also have gotten there via [r] ggplot legend
...)
If you can, get a copy of the ggplot
book and read it from the beginning -- unfortunately the PDF of the draft is no longer available online, but the book is worth the investment.
You actually have some points with x
and y
values near the extremes of your plot. It's just hard to see them because they're nearly transparent (it will be a little easier to see them on a white background, i.e. try adding +theme_bw()
to your ggplot
call). You can use xlim
and ylim
if you want to restrict the range of the plot. (Try summary
on your data and check out the Max values ...)
the best way to get the axes drawn is to follow the ggplot
idiom of "melting" your data into a long-format data set with one column for the category (y1
vs y2
) and another for the value, as follows:
d <- data.frame(x=c(1,2,1,3),
y1=c(3,2,2,5),
y2=c(5,4,2,5))
library(ggplot2)
library(reshape2) ## for melt()
dm <- melt(d,id.var=1)
ggplot(data=dm,aes(x,value,colour=variable))+
geom_point(alpha=0.2)+
scale_colour_manual(values=c("red","blue"))+
labs(x="games",y="variance")
(sorry for the slightly odd formatting)
I set the alpha
value a little higher because otherwise it would have been hard to see the points in the figure. I think the default colours (reddish and blue-ish) are OK, but I used scale_colour_manual
to get them the way you specified.