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 \name{coord_trans} \alias{coord_trans} \title{Transformed cartesian coordinate system.} \usage{ coord_trans(xtrans = "identity", ytrans = "identity", limx = NULL, limy = NULL) } \arguments{ \item{xtrans,ytrans}{transformers for x and y axes} \item{limx,limy}{limits for x and y axes. (Named so for backward compatability)} } \description{ \code{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. } \details{ All current transformations only work with continuous values - see \code{\link[scales]{trans_new}} for list of transformations, and instructions on how to create your own. } \examples{ \donttest{ # 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") } }
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