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Better handling of numeric levels in scale_discrete #1708
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Merged
thomasp85
merged 15 commits into
tidyverse:master
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thomasp85:discrete-scale-drop-levels
Sep 16, 2016
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d05b036
Revert get_limits to pre 89893c7 state
thomasp85 55c9e16
Respect limits set in scale
thomasp85 2ebbf89
Check null directly on the range object
thomasp85 bbd154f
Honor both values in expand
thomasp85 2345ffd
Test that setting limits creates the right dimensions
thomasp85 ab227d2
Check that get_limits works when data is continuous
thomasp85 f818c56
Use artificial data in test
thomasp85 e09fb57
Revert continuous->discrete to master behaviour
thomasp85 0ef15d2
Merge branch 'hadley/master' into discrete-scale-drop-levels
thomasp85 1d5806f
Added NEWS bullet
thomasp85 fb46b78
Warn of continuous data
thomasp85 2716da5
Added further news bullets
thomasp85 2d0c7e4
Add hooks before and after train
thomasp85 f73a831
Roll back changes to scale and discrete_scale
thomasp85 5a92769
Merge branch 'hadley/master' into discrete-scale-drop-levels
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And mention the
expand
change?