poincare               package:RTisean               R Documentation

_P_o_i_n_c_a_r_e _s_e_c_t_i_o_n

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

     Makes a Poincare section for time continuous scalar data sets
     along one of the coordinates of the embedding vector.

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

     poincare(series, l, x = 0, c = 1, m = 2, d = 1, q, C = 0, a)

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

  series: a vector or a matrix. 

       l: number of data to use. 

       x: number of lines to be ignored. 

       c: column to be read. 

       m: embedding dimension. 

       d: delay. 

       q: component for the crossing. 

       C: direction of the crossing (0: from below, 1: from above). 

       a: position of the crossing. 

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

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

     A matrix containing 'm' columns for each cut. The first 'm'-1
     columns store the cohordinates of the vector at the crossing, the
     last one stores the time between the last two crossings.

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

     R. Hegger and H. Kantz, Embedding of sequences of time intervals,
     Europhys. Lett. 38, 267 (1997).

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

     ## Not run: 

     library(tseriesChaos)
     dat <- rossler.ts
     poincsect <- poincare(dat,a=1)
     plot(poincsect,main="Poincare' section of Rossler data", xlab="Data cohordinates at the crossing", 
     ylab="Time between the last two crossings")

     ## End(Not run)

