I have made 2 bubble plots called beta and km. I would like to compare the plots side-by-side but the scale_area seem to be different which makes it difficult to visually compare 2 plots based on the size of the bubbles.
If you notice the legends on the plots below, the scales are different. I think it is because highest BiasAM value on the betaGSD5 dataset ~ 64 and kmGSD5 data =100.
How can I manually change the scale_area such that the betaPlot scale match the kmPlot scale?
Also is it possible to manually set the legend breaks? Instead of being automatically generated, can specify I the legend however I want like this? 0-10, 10-30, 30-50, 50-70, 70-100,
100
betaGSD5 data: https://dl.dropbox.com/u/63947093/betaGSD5.csv
kmGSD5 data: https://dl.dropbox.com/u/63947093/kmGSD5.csv
Here is beta plot code
betaPlot <- ggplot(betaGSD5, aes(N,PctCens,size=BiasAM,label=NULL)) +
geom_point(colour="red", shape=16) +scale_area(to=c(1,10)) +
xlab("Sample size") + ylab("Percent censored") +
xlim(0,100)+ ylim(0,100) +
theme_bw()+
opts(
#legend.position='none',
panel.grid.minor = theme_blank(),
panel.background = theme_blank(),
axis.ticks = theme_blank(),
axis.title.x=theme_text(face='bold',vjust=0.2, size =12), #size=15 #hjust:move horizonal, vjust-move verticall
axis.title.y=theme_text(face='bold',angle=90, vjust=0.2,size =12))
print(betaPlot)
KM plot
kmPlot <- ggplot(kmGSD5, aes(N,PctCens,size=NewBiasAMpct,label=NULL)) +
geom_point(colour="red", shape=16) +scale_area(to=c(1,10)) +
xlab("Sample size") + ylab("Percent censored") +
xlim(0,100)+ ylim(0,100) +
theme_bw()+
opts(
#legend.position='none',
panel.grid.minor = theme_blank(),
panel.background = theme_blank(),
axis.ticks = theme_blank(),
axis.title.x=theme_text(face='bold',vjust=0.2, size =12), #size=15 #hjust:move horizonal, vjust-move verticall
axis.title.y=theme_text(face='bold',angle=90, vjust=0.2,size =12))
print(kmPlot)
If you want them side-by-side then it's very easy. Just combine both dataset and use facet_wrap()
ggplot(dataset, aes(x = N, y = PctCens, size = BiasAM, label = NULL)) +
geom_point(colour="red", shape = 16) +
scale_size_area(limits = c(1, 10), breaks = c(0, 10, 30, 50, 70, 100)) +
scale_x_continuous("Sample size", limits = c(0, 100)) +
scale_y_continuous("Percent censored", limits = c(0, 100)) +
facet_wrap(~ Method) +
theme_bw() +
theme(
panel.grid.minor = element_blank(),
panel.background = element_blank(),
axis.ticks = element_blank(),
axis.title.x = element_text(face = 'bold', vjust = 0.2, size = 12),
axis.title.y = element_text(face = 'bold', angle = 90, vjust = 0.2, size = 12)
)
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