interval_bin: Bin data into intervals (1d).
In hadley/densityvis: Common interface to a range of density calculations.

Description Usage Arguments Details Value See Also Examples

Bin data into intervals (1d).

1 2	interval_bin(x, weight, breaks=interval_breaks(), na.rm=FALSE, open="right")

`x`	a numeric vector of positions
`weight`	`NULL` or a numeric vector providing weights for each observation
`breaks`	a vector of break points that should enclose all x values
`na.rm`	If `TRUE` missing values will be silently removed, otherwise they will be removed with a warning.
`open`	are intervals open on the `"left"` or the `"right"`. This can make a big difference when your data is more discrete.

To deal with floating point rounding issues, bin positions are rounded slighty up or slightly down (depending on whether open is right or left). This technique is adapted from hist.

A data frame with three columns:

`left`	the left end of the interval
`right`	the right end of the interval
`count`	the number of observations in that interval

ash_1d

x <- interval_bin(runif(100))
# Simple plot methoded included in package
plot(x)

# Selecting breaks:
interval_bin(runif(100), breaks = interval_breaks(bins = 10))
interval_bin(runif(100), breaks = interval_breaks(binwidth = 0.1))
interval_bin(runif(100), breaks = seq(0, 1, by = 0.2))
interval_bin(runif(100), breaks = scott_breaks())
interval_bin(runif(100), breaks = dhist_breaks())