# coord_trans

0th

Percentile

##### Transformed cartesian coordinate system.

coord_trans 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.

##### Usage
coord_trans(xtrans = "identity", ytrans = "identity",
limx = NULL, limy = NULL)
##### Arguments
xtrans,ytrans
transformers for x and y axes
limx,limy
limits for x and y axes. (Named so for backward compatability)
##### Details

All current transformations only work with continuous values - see trans_new for list of transformations, and instructions on how to create your own.

• coord_trans
##### Examples
# See ?geom_boxplot for other examples

# Three ways of doing transformating in ggplot:
#  * by transforming the data
qplot(log10(carat), log10(price), data=diamonds)
#  * by transforming the scales
qplot(carat, price, data=diamonds, log="xy")
qplot(carat, price, data=diamonds) + scale_x_log10() + scale_y_log10()
#  * by transforming the coordinate system:
qplot(carat, price, data=diamonds) + 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 <- subset(diamonds, carat > 0.5)
qplot(carat, price, data = d, log="xy") +
geom_smooth(method="lm")
qplot(carat, price, data = d) +
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:
library(scales)
qplot(carat, price, data=diamonds, log="xy") +
geom_smooth(method="lm") +
coord_trans(x = exp_trans(10), y = exp_trans(10))
# cf.
qplot(carat, price, data=diamonds) + geom_smooth(method = "lm")

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

plot + coord_trans(x = "log10")
plot + coord_trans(x = "sqrt")
Documentation reproduced from package ggplot2, version 0.9.3.1, License: GPL-2

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