Maxima and Minima
Returns the (regular or parallel) maxima and minima of the input values.
pmin*() take one or more vectors as
arguments, recycle them to common length and return a single vector
giving the ‘parallel’ maxima (or minima) of the argument
1 2 3 4 5 6 7 8
numeric or character arguments (see Note).
a logical indicating whether missing values should be removed.
min return the maximum or minimum of all
the values present in their arguments, as
all are numeric, and character otherwise.
NA value in any of the
arguments will cause a value of
NA to be returned, otherwise
NA values are ignored.
The minimum and maximum of a numeric empty set are
-Inf (in this order!) which ensures transitivity, e.g.,
min(x1, min(x2)) == min(x1, x2). For numeric
max(x) == -Inf and
min(x) == +Inf
length(x) == 0 (after removing missing values if
NA if all the parallel elements are
NA even for
na.rm = TRUE.
pmin take one or more vectors (or matrices) as
arguments and return a single vector giving the ‘parallel’
maxima (or minima) of the vectors. The first element of the result is
the maximum (minimum) of the first elements of all the arguments, the
second element of the result is the maximum (minimum) of the second
elements of all the arguments and so on. Shorter inputs (of non-zero
length) are recycled if necessary. Attributes (see
attributes: such as
dim) are copied from the first argument (if applicable,
e.g., not for an
pmin.int are faster internal versions only
used when all arguments are atomic vectors and there are no classes:
they drop all attributes. (Note that all versions fail for raw and
complex vectors since these have no ordering.)
min are generic functions: methods can be
defined for them individually or via the
Summary group generic. For this to
work properly, the arguments
... should be unnamed, and
dispatch is on the first argument.
By definition the min/max of a numeric vector containing an
NaN, except that the min/max of any vector containing an
NA even if it also contains an
max(NA, Inf) == NA even though the maximum would be
Inf whatever the missing value actually is.
Character versions are sorted lexicographically, and this depends on
the collating sequence of the locale in use: the help for
‘Comparison’ gives details. The max/min of an empty
character vector is defined to be character
NA. (One could
argue that as
"" is the smallest character element, the maximum
"", but there is no obvious candidate for the
max, a length-one vector. For
pmax, a vector of length the longest of the input vectors, or
length zero if one of the inputs had zero length.
The type of the result will be that of the highest of the inputs in the hierarchy integer < double < character.
max if there are only numeric inputs and all
are empty (after possible removal of
NAs), the result is double
min are part of the S4
Summary group generic. Methods
for them must use the signature
x, ..., na.rm.
‘Numeric’ arguments are vectors of type integer and numeric,
and logical (coerced to integer). For historical reasons,
is accepted as equivalent to
pmin will also work on classed S3 or S4 objects
with appropriate methods for comparison,
(if recycling of arguments is needed).
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.
range (both min and max) and
which.max) for the arg min,
i.e., the location where an extreme value occurs.
‘plotmath’ for the use of
min in plot annotation.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
require(stats); require(graphics) min(5:1, pi) #-> one number pmin(5:1, pi) #-> 5 numbers x <- sort(rnorm(100)); cH <- 1.35 pmin(cH, quantile(x)) # no names pmin(quantile(x), cH) # has names plot(x, pmin(cH, pmax(-cH, x)), type = "b", main = "Huber's function") cut01 <- function(x) pmax(pmin(x, 1), 0) curve( x^2 - 1/4, -1.4, 1.5, col = 2) curve(cut01(x^2 - 1/4), col = "blue", add = TRUE, n = 500) ## pmax(), pmin() preserve attributes of *first* argument D <- diag(x = (3:1)/4) ; n0 <- numeric() stopifnot(identical(D, cut01(D) ), identical(n0, cut01(n0)), identical(n0, cut01(NULL)), identical(n0, pmax(3:1, n0, 2)), identical(n0, pmax(n0, 4)))
Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.