Extremes                package:base                R Documentation

_M_a_x_i_m_a _a_n_d _M_i_n_i_m_a

_D_e_s_c_r_i_p_t_i_o_n:

     Returns the (parallel) maxima and minima of the input values.

_U_s_a_g_e:

     max(..., na.rm=FALSE)
     min(..., na.rm=FALSE)

     pmax(..., na.rm=FALSE)
     pmin(..., na.rm=FALSE)

_A_r_g_u_m_e_n_t_s:

     ...: numeric arguments.

   na.rm: a logical indicating whether missing values should be
          removed.

_V_a_l_u_e:

     'max' and 'min' return the maximum or minimum of _all_ the  values
     present in their arguments, as 'integer' if all are 'integer',  or
     as 'double' otherwise.

     The minimum and maximum of an empty set are '+Inf' and '-Inf' (in
     this order!) which ensures _transitivity_, e.g., 'min(x1, min(x2))
     == min(x1,x2)'. In R versions before 1.5, 'min(integer(0)) ==
     .Machine$integer.max', and analogously for 'max', preserving
     argument _type_, whereas from R version 1.5.0, 'max(x) == -Inf'
     and 'min(x) == +Inf' whenever 'length(x) == 0' (after removing
     missing values if requested).

     If 'na.rm' is 'FALSE' an 'NA' value in any of the arguments will
     cause a value of 'NA' to be returned, otherwise 'NA' values are
     ignored.

     'pmax' and 'pmin' take several 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 vectors
     are recycled if necessary.  If 'na.rm' is 'FALSE', 'NA' values in
     the input vectors will produce 'NA' values in the output.  If
     'na.rm' is 'TRUE', 'NA' values are ignored. 'attributes' (such as
     'names' or 'dim') are transferred from the first argument (if
     applicable).

     'max' and 'min' are generic functions: methods can be defined for
     them individually or via the 'Summary' group generic.

_R_e_f_e_r_e_n_c_e_s:

     Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) _The New S
     Language_. Wadsworth & Brooks/Cole.

_S_e_e _A_l_s_o:

     'range' (_both_ min and max) and 'which.min' ('which.max') for the
     _arg min_, i.e., the location where an extreme value occurs.

_E_x_a_m_p_l_e_s:

     require(stats)
      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")