autopairs               package:tsDyn               R Documentation

_B_i_v_a_r_i_a_t_e _t_i_m_e _s_e_r_i_e_s _p_l_o_t_s

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

     Bivariate time series plots: scatterplots, directed lines and
     kernel density estimations using functions in the 'sm' package.

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

     autopairs(x, lag=1, h,
     type=c("levels","persp","image","lines","points","regression"),
     GUI=interactive())

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

       x: time series

     lag: time lag 

       h: kernel window (useful only for kernel estimations) 

    type: type of plot: countour levels, perspective plots, image,
          directed lines, points or points with superposed kernel
          regression 

     GUI: should a GUI be displayed? 

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

     Bivariate time series plots: scatterplots, directed lines and
     kernel density and regression functions estimations using
     functions in the package 'sm'. In particular, for kernel density
     estimation 'sm.density' is used, with smoothing parameter 'h'
     defaulting to 'hnorm'. For kernel regression, 'sm.regression' is
     used.

     If 'GUI==TRUE', a simple graphical user interface is displayed to
     control graphical parameters.

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

     None. Plots are produced on the default graphical device.

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

     Wrappers to 'sm' and GUI by Antonio, Fabio Di Narzo

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

     For finer control on density estimation, consider using directly 
     'sm.density' and, especially,  'sm.ts.pdf' from package 'sm'.

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

     x <- log10(lynx)
     autopairs(x, lag=2, type="lines")

