title: scale_y_continuous not plotting the top break/label
body: <p>I am trying to add y-axis labels, but the labels for 8 and 16 label is not plotting even though I have specified breaks/labels for that value. All the other breaks/labels that I have specified show up.</p>
  
  <pre><code>ggplot(data = total.incidence, aes(x = Year, y = Value, group = City , color = City )) +
    geom_line(size = 1.5, alpha = 0.75) +
    geom_errorbar(aes( ymin=Value_low, ymax=Value_hi), width=0.5, size = 1, alpha = 0.75) +
    scale_x_continuous(breaks = c(2020, 2025, 2030, 2035, 2040), 
                       labels = c(2020, 2025, 2030, 2035, 2040), 
                       limit = c(2020, 2040.3),
                       expand = c(0, 0)) + 
    scale_y_continuous(breaks = c(0.5, 1, 2, 4, 8, 16 ), 
                       labels = c(0.5, 1, 2, 4, 8, 16 ),
                       trans = "log2" ) + 
    guides(colour  = guide_legend(nrow = 1, override.aes=list(fill=NA))) +
    theme(axis.line = element_line(colour = "black"),
          axis.title.x = element_text(size = 11 ),
          axis.text = element_text(size = 11))
  </code></pre>
  
  <p>I have tried to extend the y-range by specifying <code>limits = c(0, 16)</code> and <code>limits = c(0, 16.1)</code>, it produces an empty plot (no data or y-axis) and I get the following warning:</p>
  
  <pre><code>Warning message:
  The position guide is perpendicular to the intended axis. Did you mean to specify a different guide `position`? 
  </code></pre>
  
  <p>Thanks!</p>
  
  <p>EDIT: Reprex df:</p>
  
  <pre><code>total.incidence &lt;- structure(list(City = structure(c(6L, 4L, 3L, 4L, 2L, 2L, 5L, 2L, 6L, 4L, 6L, 1L, 3L, 3L, 2L), 
  .Label = c("A", "B", "C", "D", "E", "F"), 
  class = "factor"), 
  Year = c(2024L, 2025L, 2026L, 2026L, 2028L, 2021L, 2037L, 2038L, 2026L, 2023L, 2027L, 2035L, 2040L, 2027L, 2036L), 
  Value = c(0.95, 3.6, 2.2, 3.2, 0.6, 2.7, 0.8, 0.4, 0.8, 5.2, 0.8, 0.8, 1.7, 2.1, 0.4 ), 
  Value_low = c(0.7, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), 
  Value_hi = c(1.2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA)), 
  row.names = c(160L, 99L, 69L, 100L, 40L, 33L, 142L, 50L, 162L, 97L, 163L, 16L, 83L, 70L, 48L), class = "data.frame")
  
  </code></pre>