DublinWind               package:cobs               R Documentation

_D_a_i_l_y _W_i_n_d _S_p_e_e_d_s _i_n _D_u_b_l_i_n

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

     The 'DublinWind' data frame is basically the time series of daily
     average wind speeds from 1961 to 1978, measured in Dublin,
     Ireland. These are 6574 observations (18 full years among which
     four leap years).

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

     data(DublinWind)

_F_o_r_m_a_t:

     This data frame contains the following columns:

     _s_p_e_e_d numeric vector of average daily wind speed in knots

     _d_a_y an integer vector giving the day number of the year, i.e.,
          1:366.

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

     The periodic pattern along the 18 years measured and the
     autocorrelation are to be taken into account for analysis, see the
     references.  This is Example 3 of the COBS paper.

_S_o_u_r_c_e:

     From shar file available from <URL:
     http://www.cba.nau.edu/pin-ng/cobs.html>

     Also available from <URL: .......STATLIB..........>

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

     Haslett, J. and Raftery, A. (1989) Space-Time Modelling with
     Long-Memory Dependence: {A}ssessing {I}reland's Wind Power
     Resource. ..........  *38*, 1-21.

     COBS: Qualitatively Constrained Smoothing via Linear Programming;
     _Computational Statistics_ *14*, 315-337.

     He, X. and Ng, P. (1999) COBS: Qualitatively Constrained Smoothing
     via Linear Programming; _Computational Statistics_ *14*, 315-337.

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

     data(DublinWind)
     str(DublinWind)
     plot(speed ~ day, data = DublinWind, type = "l")
     attach(DublinWind)
     plot(wSpeed <- ts(speed))

