ggplot combining two plots from different data.frames

As Baptiste said, you need to specify the data argument at the geom level. Either

#df1 is the default dataset for all geoms
(plot1 <- ggplot(df1, aes(v, p)) + 
    geom_point() +
    geom_step(data = df2)
)

or

#No default; data explicitly specified for each geom
(plot2 <- ggplot(NULL, aes(v, p)) + 
      geom_point(data = df1) +
      geom_step(data = df2)
)

The only working solution for me, was to define the data object in the geom_line instead of the base object, ggplot.

Like this:

ggplot() + 
geom_line(data=Data1, aes(x=A, y=B), color='green') + 
geom_line(data=Data2, aes(x=C, y=D), color='red')

instead of

ggplot(data=Data1, aes(x=A, y=B), color='green') + 
geom_line() + 
geom_line(data=Data2, aes(x=C, y=D), color='red')

More info here

You can take this trick to use only qplot. Use inner variable $mapping. You can even add colour= to your plots so this will be putted in mapping too, and then your plots combined with legend and colors automatically.

cpu_metric2 <- qplot(y=Y2,x=X1) 

cpu_metric1 <- qplot(y=Y1, 
                    x=X1, 
                    xlab="Time", ylab="%") 

combined_cpu_plot <- cpu_metric1 + 
  geom_line() +
  geom_point(mapping=cpu_metric2$mapping)+
  geom_line(mapping=cpu_metric2$mapping)