You could just give the same values for the ylim argument in each boxplot
par(mfrow=c(1,2), las=1) boxplot(rnorm(10), rnorm(10), rnorm(10), ylim=c(-3,3)) boxplot(rnorm(10, 0.5, 1), rnorm(10, -.5, 1), rnorm(10), ylim=c(-3,3))
Carlos J. Gil Bellosta wrote:
I am working in a project and I have a number of observations belonging to several classes. Using a 1 Way ANOVA, I have rejected the equality of means hypothesis with a very small p-value. However, the people I have to present my results to are not statisticians and they are not very likely to be much impressed by a 1.32434e-12 like number/thing.
Therefore I have decided to make to boxplots, one for the actual data and the second one for simulated data where the equality of the means holds so that the difference in the distributions can be visually appreciated.
The problem is that, for the simulated values, being more regular, the range of variation is smaller and, therefore, the heigth of the window where their boxplot is drawn is also smaller. As a result, the scales of the two boxplots are not the same and part of the appeal of the visual approach is lost in the way.
My question is, is there a way to make two different boxplots within a "common window"? (Or rather, a common size window or, more concretely, so that it spans over the same range on the vertical axis).
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