logistic               package:RTisean               R Documentation

_L_o_g_i_s_t_i_c _m_o_d_e_l

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

     Creates a time series from the logistic model.

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

     logistic(iter=1000, r=4,x=0.2,t=0,noisesd=0)

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

    iter: length of the time series. 

       r: parameter of the logistic model. 

       x: initial cohordinate. 

       t: number of transients discarded. 

 noisesd: standard deviaton of white Gaussian noise. 

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

     If 'noisesd' is set greater than zero, then the iterated model
     becomes:

     x_[t+1]=rx_[t](1-x_[t])+n,

     where n is drawn from N(0,'noisesd').

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

     A vector containing the time series.

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

     ## Not run: 

     dat <- logistic(150,3.9,0.1,1000)
     plot(dat,xlab="Time",ylab="x", main="Time Series from Logistic Model with r=3.9",
     type="l")

     ## End(Not run)

