EVOLUTION-MANAGER

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<table width="100%" summary="page for scale_identity {ggplot2}"><tr><td>scale_identity {ggplot2}</td><td style="text-align: right;">R Documentation</td></tr></table>

<h2>Use values without scaling</h2>

<h3>Description</h3>

<p>Use this set of scales when your data has already been scaled, i.e. it
already represents aesthetic values that ggplot2 can handle directly.
These scales will not produce a legend unless you also supply the <code>breaks</code>,
<code>labels</code>, and type of <code>guide</code> you want.
</p>

<h3>Usage</h3>

<pre>
scale_colour_identity(..., guide = "none", aesthetics = "colour")

scale_fill_identity(..., guide = "none", aesthetics = "fill")

scale_shape_identity(..., guide = "none")

scale_linetype_identity(..., guide = "none")

scale_alpha_identity(..., guide = "none")

scale_size_identity(..., guide = "none")

scale_discrete_identity(aesthetics, ..., guide = "none")

scale_continuous_identity(aesthetics, ..., guide = "none")
</pre>

<h3>Arguments</h3>

<table summary="R argblock">
<tr valign="top"><td><code>...</code></td>
<td>
<p>Other arguments passed on to <code><a href="discrete_scale.html">discrete_scale()</a></code> or
<code><a href="continuous_scale.html">continuous_scale()</a></code></p>
</td></tr>
<tr valign="top"><td><code>guide</code></td>
<td>
<p>Guide to use for this scale. Defaults to <code>"none"</code>.</p>
</td></tr>
<tr valign="top"><td><code>aesthetics</code></td>
<td>
<p>Character string or vector of character strings listing the
name(s) of the aesthetic(s) that this scale works with. This can be useful, for
example, to apply colour settings to the <code>colour</code> and <code>fill</code> aesthetics at the
same time, via <code>aesthetics = c("colour", "fill")</code>.</p>
</td></tr>
</table>

<h3>Details</h3>

<p>The functions <code>scale_colour_identity()</code>, <code>scale_fill_identity()</code>, <code>scale_size_identity()</code>,
etc. work on the aesthetics specified in the scale name: <code>colour</code>, <code>fill</code>, <code>size</code>,
etc. However, the functions <code>scale_colour_identity()</code> and <code>scale_fill_identity()</code> also
have an optional <code>aesthetics</code> argument that can be used to define both <code>colour</code> and
<code>fill</code> aesthetic mappings via a single function call. The functions
<code>scale_discrete_identity()</code> and <code>scale_continuous_identity()</code> are generic scales that
can work with any aesthetic or set of aesthetics provided via the <code>aesthetics</code>
argument.
</p>

<h3>Examples</h3>

<pre>
ggplot(luv_colours, aes(u, v)) +
  geom_point(aes(colour = col), size = 3) +
  scale_color_identity() +
  coord_equal()

df &lt;- data.frame(
  x = 1:4,
  y = 1:4,
  colour = c("red", "green", "blue", "yellow")
)
ggplot(df, aes(x, y)) + geom_tile(aes(fill = colour))
ggplot(df, aes(x, y)) +
  geom_tile(aes(fill = colour)) +
  scale_fill_identity()

# To get a legend guide, specify guide = "legend"
ggplot(df, aes(x, y)) +
  geom_tile(aes(fill = colour)) +
  scale_fill_identity(guide = "legend")
# But you'll typically also need to supply breaks and labels:
ggplot(df, aes(x, y)) +
  geom_tile(aes(fill = colour)) +
  scale_fill_identity("trt", labels = letters[1:4], breaks = df$colour,
  guide = "legend")

# cyl scaled to appropriate size
ggplot(mtcars, aes(mpg, wt)) +
  geom_point(aes(size = cyl))

# cyl used as point size
ggplot(mtcars, aes(mpg, wt)) +
  geom_point(aes(size = cyl)) +
  scale_size_identity()
</pre>

<hr /><div style="text-align: center;">[Package <em>ggplot2</em> version 3.3.2 <a href="00Index.html">Index</a>]</div>
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