seqMK                 package:pheno                 R Documentation

_S_e_q_u_e_n_t_i_a_l _M_a_n_n-_K_e_n_d_a_l_l _t_e_s_t _f_o_r _t_i_m_e _s_e_r_i_e_s.

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

     The sequential Mann-Kendall test on time series x detects 
     approximate potential trend turning points in time series.

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

     seqMK(x)

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

       x: Numeric vector x.

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

     Implicitly assumes a equidistant time series x.  Calculates a
     progressive and a retrograde series of Kendall normalized tau's. 
     Points where the two lines cross are considered as approximate
     potential  trend turning points. When either the progressive or
     retrograde row exceed certain confidence limits before and after
     the crossing points, this trend turning point is considered
     significant at the corresponding level,  i.e. 1.96 for 95

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

    prog: Progressive row of Kendall's normalized tau's

    retr: Retrograde row of Kendall's normalized tau's

      tp: Boolean vector indicating at what indices of the original
          timeseries the prog and retr cross, i.e. TRUE at potential
          trend turning points.

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

     Joerg Schaber

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

     Kendall M, Gibbons JD (1990) 'Rank correlation methods'. Arnold.
     Sneyers R (1990) 'On statistical analysis of series of
     observations. Technical  Note No 143. Geneva. Switzerland. World
     Meteorological Society. Schaber J (2003) 'Phenology in German in
     the 20th Century: Methods, analyses and models. Ph.D. Thesis.
     University of Potsdam. Germany. <URL:
     http://pub.ub.uni-potsdam.de/2002meta/0022/door.htm>

