Maybe something like this... dat = data. Frame(x=rnorm(1000)) ggplot(dat,aes(x=x)) + geom_histogram(aes(y=..density..,fill="binwidth=0.5) + stat_function(fun = dnorm, aes(colour= "Density")) + scale_x_continuous('x', limits = c(-4, 4)) + opts(title = "stogram with Overlay") + scale_fill_manual(name="",value="blue") + scale_colour_manual(name="",value="red") + scale_y_continuous('Frequency')+ opts(legend. Key=theme_rect(fill="white",colour="white"))+ opts(legend.
Background = theme_blank()).
Thanks for the comment, but now the legend seems to be split into two legends, and also there are no lines separating the bars of the histogram. – A-A Jul 16 at 22:22 1 Adding colour='black' to geom_histogram outside of aes will bring back the lines on the bars but will add a diagonal line in the legend. There are two legends because that's the way you get what you described in ggplot2, end of story.
If you want extremely fine control over legends, stick to base plotting functions. Ggplot2 is resisting you here because you're trying to create an arguably "bad" legend, or at least an unnecessary one according to the philosophy behind ggplot2. – joran Jul 16 at 22:46 Thank You for your help.
– A-A Jul 16 at 22:49 1 The key=list() argument to xyplot would also allow adjustment of line width in the legend. – DWin Jul 16 at 23:21.
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