peboxplot                package:pear                R Documentation

_b_o_x_p_l_o_t_s _o_f _a _p_e_r_i_o_d_i_c _t_i_m_e _s_e_r_i_e_s

_D_e_s_c_r_i_p_t_i_o_n:

     Side-by-side boxplots are produced for each period in a periodic
     time series. These plots can reveal many important features in a
     periodic time series such as the need for a variance stablizing
     transformation, outliers, heteroscedasticity not removable by a
     power transformation, etc. The peboxplot is a useful adjunct to
     the Splus functions tsplot and monthplot.

_U_s_a_g_e:

     peboxplot(z, ...)

_A_r_g_u_m_e_n_t_s:

       z: a univariate time series object. Note that the period of z is
          given by attr(z, "tsp")[3]. Additional information about the
          time series can be provided in a title string by setting
          attr(z, "title") to the desired string. This title will then
          be displayed on the plot. Abbreviations for the periods may
          be provided in attr(z, "abb"). For example, to use the
          standard monthly abbreviations: attr(z, "abb")<-month.abb.
          These abbreviations  will be used to aid one in interpreting
          the output. 

     ...: optional arguments which are passed to the Splus boxplot
          function 

_D_e_t_a_i_l_s:

     Boxplots of seasonal data are vary useful in many applications.
     See Hipel and McLeod (1994) for examples.

_V_a_l_u_e:

     NULL

_S_i_d_e _E_f_f_e_c_t_s:

     plot produced

_R_e_f_e_r_e_n_c_e_s:

     Hipel, K.W. and McLeod, A.I. (1994) "Time Series Modelling of 
     Water Resources and Environmental Systems"  Elsevier, Amsterdam
     ISBN 0-444-89270-2.  (1013 pages).

_S_e_e _A_l_s_o:

     peplot, monthplot, tsplot

_E_x_a_m_p_l_e_s:

     data(fraser)
     peboxplot(log(fraser))

