seas-package              package:seas              R Documentation

_S_e_a_s_o_n_a_l _s_t_a_t_i_s_t_i_c_s: _t_h_e '_s_e_a_s' _p_a_c_k_a_g_e _f_o_r _R

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

     The 'seas' package for the R programming environment is capable of
     conveying descriptive statistics and graphics for seasonal
     variables, as found in climatology, hydrology and ecology.
     Seasonal variables can be continuous (i.e., temperature) or
     discontinuous (i.e., precipitation). An annum can be partitioned
     into many arbitrary divisions, or seasonal components, such as _by
     month_ or into other fixed intervals. Boxplots are used to
     describe the seasonal distributions of continuous variables. 
     Discontinuous variables need to be summed over time to smooth the
     irregularities before the variable can evaluated and visualized.
     Statistics, such as precipitation normals, may be derived from the
     summed variables, using the mean or median methods. Other tools
     and utilities provided in the package can calculate precipitation
     interarrivals, cumulative precipitation departures, find changes
     between two normals, and import data from archive formats.

     To get started, try some examples, such as 'seas.sum',
     'seas.norm'. There will be more help added here someday! In the
     mean-time, please explore the various help pages and try the
     examples. Contact me for basic help and/or suggestions!

_A_u_t_h_o_r(_s):

     M.W. Toews

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

     Toews, M.W., Whitfield, P.H., and Allen, D.M., Seasonal
     statistics: The 'seas' package for R, Computers & Geosciences
     (2007), doi:10.1016/j.cageo.2006.11.011

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

     # Show a list of changes to the package:
     file.show(system.file("ChangeLog", package="seas"))

