blob: 94779a3db7eb5e269222c08b5d568ff76da063a6 [file] [log] [blame]
% File src/library/base/man/pretty.Rd
% Part of the R package, https://www.R-project.org
% Copyright 1995-2021 R Core Team
% Distributed under GPL 2 or later
\name{pretty}
\title{Pretty Breakpoints}
\alias{pretty}
\alias{.pretty}
\alias{pretty.default}
\usage{
pretty(x, \dots)
\method{pretty}{default}(x, n = 5, min.n = n \%/\% 3, shrink.sml = 0.75,
high.u.bias = 1.5, u5.bias = .5 + 1.5*high.u.bias,
eps.correct = 0, f.min = 2^-20, \dots)
.pretty(x, n = 5L, min.n = n \%/\% 3, shrink.sml = 0.75,
high.u.bias = 1.5, u5.bias = .5 + 1.5*high.u.bias,
eps.correct = 0L, f.min = 2^-20, bounds = TRUE)
}
\arguments{
\item{x}{an object coercible to numeric by \code{\link{as.numeric}}.}
\item{n}{integer giving the \emph{desired} number of
intervals. Non-integer values are rounded down.}
\item{min.n}{nonnegative integer giving the \emph{minimal} number of
intervals. If \code{min.n == 0}, \code{pretty(.)} may return a
single value.}
\item{shrink.sml}{positive number, a factor (smaller than one)
by which a default scale is shrunk in the case when
\code{range(x)} is very small (usually 0).}
\item{high.u.bias}{non-negative numeric, typically \eqn{> 1}.
The interval unit is determined as \{1,2,5,10\} times \code{b}, a
power of 10. Larger \code{high.u.bias} values favor larger units.}
\item{u5.bias}{non-negative numeric
multiplier favoring factor 5 over 2. Default and \sQuote{optimal}:
\code{u5.bias = .5 + 1.5*high.u.bias}.}
\item{eps.correct}{integer code, one of \{0,1,2\}. If non-0, an
\emph{epsilon correction} is made at the boundaries such that
the result boundaries will be outside \code{range(x)}; in the
\emph{small} case, the correction is only done if \code{eps.correct >= 2}.}
\item{f.min}{positive factor multiplied by \code{\link{.Machine}$double.xmin}
to get the smallest \dQuote{acceptable} \code{cell} \eqn{c_m} which
determines the \code{unit} of the algorithm. Smaller \code{cell}
values are set to \eqn{c_n} signalling a \code{\link{warning}} about
being \dQuote{corrected}.
New from \R 4.2.0, where previously, \code{f.min = 20} was implicitly
hard coded in the algorithm.}
\item{bounds}{a \code{\link{logical}} indicating if the resulting vector
should \emph{cover} the full \code{range(x)}, i.e., strictly include
the bounds of \code{x}. New from \R 4.2.0, allowing \code{bound=FALSE}
to reproduce how \R's graphics engine computes axis tick locations (in
\code{GEPretty()}).}
\item{\dots}{further arguments for methods.}
}
\description{
Compute a sequence of about \code{n+1} equally spaced \sQuote{round}
values which cover the range of the values in \code{x}.
The values are chosen so that they are 1, 2 or 5 times a power of 10.
}
\details{
\code{pretty} ignores non-finite values in \code{x}.
Let \code{d <- max(x) - min(x)} \eqn{\ge 0}.
If \code{d} is not (very close) to 0, we let \code{c <- d/n},
otherwise more or less \code{c <- max(abs(range(x)))*shrink.sml / min.n}.
Then, the \emph{10 base} \code{b} is
\eqn{10^{\lfloor{\log_{10}(c)}\rfloor}}{10^(floor(log10(c)))} such
that \eqn{b \le c < 10b}.
Now determine the basic \emph{unit} \eqn{u} as one of
\eqn{\{1,2,5,10\} b}{{1,2,5,10} b}, depending on
\eqn{c/b \in [1,10)}{c/b in [1,10)}
and the two \sQuote{\emph{bias}} coefficients, \eqn{h
=}\code{high.u.bias} and \eqn{f =}\code{u5.bias}.
\dots\dots\dots
}
\value{\code{pretty()} returns an numeric vector of \emph{approximately}
\code{n} increasing numbers which are \dQuote{pretty} in decimal notation.
(in extreme range cases, the numbers can no longer be \dQuote{pretty}
given the other constraints; e.g., for \code{pretty(..)} % <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<< FIXME
For ease of investigating the underlying C \code{R_pretty()}
function, \code{.pretty()} returns a named \code{\link{list}}. By
default, when \code{bounds=TRUE}, the entries are \code{l}, \code{u},
and \code{n}, whereas for \code{bounds=FALSE}, they are
\code{ns}, \code{nu}, \code{n}, and (a \dQuote{pretty}) \code{unit}
where the \code{n*}'s are integer valued (but only \code{n} is of class
\code{\link{integer}}). Programmers may use this to create pretty
sequence (iterator) objects.
}
\seealso{
\code{\link{axTicks}} for the computation of pretty axis tick
locations in plots, particularly on the log scale.
}
\references{
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988)
\emph{The New S Language}.
Wadsworth & Brooks/Cole.
}
\examples{
pretty(1:15) # 0 2 4 6 8 10 12 14 16
pretty(1:15, high.u.bias = 2) # 0 5 10 15
pretty(1:15, n = 4) # 0 5 10 15
pretty(1:15 * 2) # 0 5 10 15 20 25 30
pretty(1:20) # 0 5 10 15 20
pretty(1:20, n = 2) # 0 10 20
pretty(1:20, n = 10) # 0 2 4 ... 20
for(k in 5:11) {
cat("k=", k, ": "); print(diff(range(pretty(100 + c(0, pi*10^-k)))))}
##-- more bizarre, when min(x) == max(x):
pretty(pi)
add.names <- function(v) { names(v) <- paste(v); v}
utils::str(lapply(add.names(-10:20), pretty))
## min.n = 0 returns a length-1 vector "if pretty":
utils::str(lapply(add.names(0:20), pretty, min.n = 0))
sapply( add.names(0:20), pretty, min.n = 4)
pretty(1.234e100)
pretty(1001.1001)
pretty(1001.1001, shrink.sml = 0.2)
for(k in -7:3)
cat("shrink=", formatC(2^k, width = 9),":",
formatC(pretty(1001.1001, shrink.sml = 2^k), width = 6),"\n")
}
\keyword{dplot}