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

<h2>Transformed Cartesian coordinate system</h2>

<h3>Description</h3>

<p><code>coord_trans()</code> is different to scale transformations in that it occurs after
statistical transformation and will affect the visual appearance of geoms - there is
no guarantee that straight lines will continue to be straight.
</p>

<h3>Usage</h3>

<pre>
coord_trans(
  x = "identity",
  y = "identity",
  xlim = NULL,
  ylim = NULL,
  limx = "DEPRECATED",
  limy = "DEPRECATED",
  clip = "on",
  expand = TRUE
)
</pre>

<h3>Arguments</h3>

<table summary="R argblock">
<tr valign="top"><td><code>x, y</code></td>
<td>
<p>Transformers for x and y axes or their names.</p>
</td></tr>
<tr valign="top"><td><code>xlim</code></td>
<td>
<p>Limits for the x and y axes.</p>
</td></tr>
<tr valign="top"><td><code>ylim</code></td>
<td>
<p>Limits for the x and y axes.</p>
</td></tr>
<tr valign="top"><td><code>limx, limy</code></td>
<td>
<p><strong>Deprecated</strong>: use <code>xlim</code> and <code>ylim</code> instead.</p>
</td></tr>
<tr valign="top"><td><code>clip</code></td>
<td>
<p>Should drawing be clipped to the extent of the plot panel? A
setting of <code>"on"</code> (the default) means yes, and a setting of <code>"off"</code>
means no. In most cases, the default of <code>"on"</code> should not be changed,
as setting <code>clip = "off"</code> can cause unexpected results. It allows
drawing of data points anywhere on the plot, including in the plot margins. If
limits are set via <code>xlim</code> and <code>ylim</code> and some data points fall outside those
limits, then those data points may show up in places such as the axes, the
legend, the plot title, or the plot margins.</p>
</td></tr>
<tr valign="top"><td><code>expand</code></td>
<td>
<p>If <code>TRUE</code>, the default, adds a small expansion factor to
the limits to ensure that data and axes don't overlap. If <code>FALSE</code>,
limits are taken exactly from the data or <code>xlim</code>/<code>ylim</code>.</p>
</td></tr>
</table>

<h3>Details</h3>

<p>Transformations only work with continuous values: see
<code><a href="../../scales/html/trans_new.html">scales::trans_new()</a></code> for list of transformations, and instructions
on how to create your own.
</p>

<h3>Examples</h3>

<pre>

# See ?geom_boxplot for other examples

# Three ways of doing transformation in ggplot:
#  * by transforming the data
ggplot(diamonds, aes(log10(carat), log10(price))) +
  geom_point()
#  * by transforming the scales
ggplot(diamonds, aes(carat, price)) +
  geom_point() +
  scale_x_log10() +
  scale_y_log10()
#  * by transforming the coordinate system:
ggplot(diamonds, aes(carat, price)) +
  geom_point() +
  coord_trans(x = "log10", y = "log10")

# The difference between transforming the scales and
# transforming the coordinate system is that scale
# transformation occurs BEFORE statistics, and coordinate
# transformation afterwards.  Coordinate transformation also
# changes the shape of geoms:

d &lt;- subset(diamonds, carat &gt; 0.5)

ggplot(d, aes(carat, price)) +
  geom_point() +
  geom_smooth(method = "lm") +
  scale_x_log10() +
  scale_y_log10()

ggplot(d, aes(carat, price)) +
  geom_point() +
  geom_smooth(method = "lm") +
  coord_trans(x = "log10", y = "log10")

# Here I used a subset of diamonds so that the smoothed line didn't
# drop below zero, which obviously causes problems on the log-transformed
# scale

# With a combination of scale and coordinate transformation, it's
# possible to do back-transformations:
ggplot(diamonds, aes(carat, price)) +
  geom_point() +
  geom_smooth(method = "lm") +
  scale_x_log10() +
  scale_y_log10() +
  coord_trans(x = scales::exp_trans(10), y = scales::exp_trans(10))

# cf.
ggplot(diamonds, aes(carat, price)) +
  geom_point() +
  geom_smooth(method = "lm")

# Also works with discrete scales
df &lt;- data.frame(a = abs(rnorm(26)),letters)
plot &lt;- ggplot(df,aes(a,letters)) + geom_point()

plot + coord_trans(x = "log10")
plot + coord_trans(x = "sqrt")

</pre>

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