.. -*- coding: utf-8 -*-

===

 R

===

.. contents::

   :local:

Inspecting objects

==================

Info about object dimensions::

  length(c(1,2,3))

  dim(matrix(1:6, 2, 3))

Brief info about any object::

  typeof(str)

  str(c(1, 2))

  str(summary)

Brief info about vectors and matrixes::

  summary(1:8)

  summary(matrix(1:20, 4, 5))

Brief info on datasets and matrixes::

  names(list(colA=1, colB=2))

Debugging

=========

To mark function for debugging call::

  debug(fun, text = "", condition = NULL)

  debugonce(fun, text = "", condition = NULL)

To return function to normal execution::

  undebug(fun)

  isdebugged(fun)

Generating random numbers

=========================

For each distribution there are exists corresponding generation function, named

with prefix ``r``::

  rnorm(n, mean = 0, sd = 1)

  rt(n, df, ncp)

  rbinom(n, size, prob)

  rpois(n, lambda)

  runif(n, min = 0, max = 1)

In order to generate predictable sequences use::

  set.seed(seed, kind = NULL, normal.kind = NULL)