I'm have made two separate scatter plots using ggplot2 and I need to combine them into one single plot. Each plot is for a population of lizards under three different treatments (backgrounds). for each plot I have the following:
csMS = data.frame()
ellMS = data.frame()
centroidsMS = data.frame()
csplotMS = ggplot(csMS, aes(x = RG, y = GB, colour = Background)) + geom_point(size = 3, shape = 17) + #colour by background, circles size 3
geom_path(data = ell.AS, aes(x = RG, y = GB ,colour = Background), size = 1, linetype = 2) + #adding the ellipses
geom_point(data = centroidsMS, size = 3, shape = 17) + #added centroids
geom_errorbar(data = centroidsMS, aes(ymin = GB - se.GB, ymax = GB + se.GB), width = 0) + #add y error bars
geom_errorbarh(data = centroidsMS, aes(xmin = RG - se.RG, xmax = RG + se.RG), height = 0) +
theme_bw() + #white background
theme(axis.title.y = element_text(vjust = 2), axis.title.x = element_text(vjust = -0.3)) + #distance of axis titles from axis
theme(panel.border = element_blank(), panel.grid.major = element_blank(), panel.grid.minor = element_blank(), #no grids
axis.line = element_line(colour = "black")) + #black axes
theme(text = element_text(size = 30)) + #font size
ylab("(G-B)/(G+B)") + xlab("(R-G)/(R+G)") + # Set text for axes labels
scale_colour_manual(values = c("black","#FF6600", "yellow1")) + #changed default colours
labs(colour = "Murray Sunset NP") +
theme(legend.title = element_text(size = "20")) + #changes the legend title
theme(legend.text = element_text(size = "20")) + #changes the legend title
theme(legend.key = element_blank()) + #removed little squares around legend symbols
theme(legend.direction = "horizontal", legend.position = c(.5, .85))
I tried
csASMS = csplotAS + csplotMS
but I get an error message: "Error in p + o : non-numeric argument to binary operator In addition: Warning message: Incompatible methods ("+.gg", "Ops.data.frame") for "+" "
I also tried
csASMS = grid.arrange(csplotAS, csplotMS)
but this places one plot on top of the other, but I need to combine both plots so that they are basically just one plot but with two separate legends as each plot has different conventions to indicate the different lizard populations.
Any help will be greatly appreciated.
****EDIT**** Dec 12/ 2014
I have managed to combine the two plots into one but still have the problem of the separate legends. To try to simplify the question and as per cdeterman's request I'm adding a simpler form of the code with some sample data:
data frames: p1 and p2
> p1
treatment x y
1 Black 1 1
2 Orange 2 2
3 Yellow 3 3
> p2
treatment x y
1 Black 4 4
2 Orange 5 5
3 Yellow 6 6
I used the following code to make a plot that includes both data frames:
plot = ggplot(p1, aes(x = x, y = y, colour = treatment)) + geom_point(size = 3) + #colour by background, circles size 3
theme_bw() + #white background
theme(axis.title.y = element_text(vjust = 2), axis.title.x = element_text(vjust = -0.3)) + #distance of axis titles from axis
theme(panel.border = element_blank(), panel.grid.major = element_blank(), panel.grid.minor = element_blank(), #no grids
axis.line = element_line(colour = "black")) + #black axes
theme(text = element_text(size = 30)) + #font size
scale_colour_manual(values = c("black","#FF6600", "yellow1")) + #changed default colours
labs(colour = "p1") +
theme(legend.title = element_text(size = "20")) + #changes the legend title
theme(legend.text = element_text(size = "20")) + #changes the legend title
theme(legend.key = element_blank()) + #removed little squares around legend symbols
theme(legend.direction = "horizontal", legend.position = c(.33, 1)) +
# Now to add the second plot/ No need to code for axis titles, titles positions,etc b/c it's already coded in the first plot
geom_point(data = p2, aes(x = x, y = y, colour = treatment), size = 3, shape = 17)
This produces a graph with each data frame represented in a different symbol (circles for p1 and triangles for p2) but with only one combined legend with triangles superimposed over circles). How can I get two separate legends, one for each data frame?
Thank you!