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copied!<p>An interesting discovery I just made by reading <code>?continuous_scale</code> is that the <code>breaks</code> argument can be:</p> <blockquote> <p>a function, that when called with a single argument, a character vector giving the limits of the scale, returns a character vector specifying which breaks to display.</p> </blockquote> <p>So to guarantee a certain number of breaks, you could do something like:</p> <pre><code>break_setter = function(lims) { return(seq(from=as.numeric(lims[1]), to=as.numeric(lims[2]), length.out=5)) } ggplot(d, aes(x=MW, y=rel.Ki)) + geom_point() + scale_y_log10(breaks=break_setter) </code></pre> <p>Obviously the very simple example function is not very well adapted to the logarithmic nature of the data, but it does show how you could approach this a bit more programmatically.</p> <hr> <p>You can also use <code>pretty</code>, which takes a suggestion for a number of breaks and returns nice round numbers. Using</p> <pre><code>break_setter = function(lims) { return(pretty(x = as.numeric(lims), n = 5)) } </code></pre> <p>yields the following:</p> <p><img src="https://i.stack.imgur.com/38eYq.png" alt="logbreaks"></p> <p>Even better, we can make <code>break_setter()</code> return an appropriate function with whatever <code>n</code> you want and a default of, say, 5.</p> <pre><code>break_setter = function(n = 5) { function(lims) {pretty(x = as.numeric(lims), n = n)} } ggplot(d, aes(x=MW, y=rel.Ki)) + geom_point() + scale_y_log10(breaks=break_setter()) ## 5 breaks as above ggplot(d, aes(x=MW, y=rel.Ki)) + geom_point() + scale_y_log10(breaks=break_setter(20)) </code></pre>

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