#Veusz plot with two y axes how to

In order to control color in all components, I'll set it manually: mycolors <- c('data1'='blue', 'data2'='red') I'm going to combine the data into a single ame, though, in order to use ggplot2's grouping.

Simple enough, you just need the reverse transformation as what will be used in sec_axis. However, this implies that you need to plot all data on the original axis, meaning you need d2$y to be pre-scaled to d1$y's limits. In this case, I think we could get away with simply ~ 2*. + 10, where the period indicates the value to scale. This is typically done in the form of an intercept/slope formula such as ~ 2*. As such, I'll go to pains here to provide multiple indicators of what goes where.įirst, the use of sec_axis requires a transformation on the original axis. Up front, this type of graph is a good example of why it took so long to get a second axis into ggplot2: it can very easily be confusing, leading to mis-interpretations.

#Veusz plot with two y axes how to

In ggplot2, I cannot do p1+p2 as it will show an error message Error: Don't know how to add o to a plot. P2 = ggplot(data = d2, aes(x=x, y=y)) + geom_point() +

$veusz plot with two y axes$

P1 = ggplot(data = d1, aes(x=x, y=y)) + geom_point() Of course, the relative scales for the two y-axis values are different (actually should be 'adjusted' according to the y values in the first dataset. I have two datasets (can be combined into a single one) that share common x values, while the y values are different - I want to plot the y values in one dataset and put the y-axis on the left of the plot, while plotting the y values in the other dataset and put the y-axis on the right of the same plot.