transform.condensed: Transform condensed objects, collapsing unique bins.
In hadley/bigvis: Tools for visualisation of big data sets

Description Usage Arguments Details Examples

Transform condensed objects, collapsing unique bins.

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\method{transform}{condensed}(`_data`, ...)

rebin(data)

`...`	named arguments evaluated in the context of the data
`data,'_data'`	a condensed summary

You don't need to use rebin if you use transform: it will automatically rebin for you. You will need to use it if you manually transform any grouping variables.

x <- runif(1e4, -1, 1)
xsum <- condense(bin(x, 1 / 50))

# Transforming by hand: must use rebin
xsum$x <- abs(xsum$x)
rebin(xsum)
if (require("ggplot2")) {
  autoplot(xsum) + geom_point()
  autoplot(rebin(xsum)) + geom_point()
}

#' Transforming with transform
y <- x ^ 2 + runif(length(x), -0.1, 0.1)
xysum <- condense(bin(x, 1 / 50), z = y)
xysum <- transform(xysum, x = abs(x))
if (require("ggplot2")) {
  autoplot(xysum)
}