reglin                package:pastecs                R Documentation

_R_e_g_u_l_a_t_i_o_n _o_f _a _s_e_r_i_e_s _u_s_i_n_g _a _l_i_n_e_a_r _i_n_t_e_r_p_o_l_a_t_i_o_n

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

     Transform an irregular time series in a regular time series, or
     fill gaps in regular time series using a linear interpolation

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

     reglin(x, y=NULL, xmin=min(x), n=length(x),
             deltat=(max(x) - min(x))/(n - 1), rule=1)

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

       x: a vector with time in the irregular series. Missing values
          are allowed 

       y: a vector of same length as `x' and holding observations at
          corresponding times 

    xmin: allows to respecify the origin of time in the calculated
          regular time series. By default, the origin is not redefined
          and it is equivalent to the smallest value in `x' 

       n: the number of observations in the regular time series. By
          default, it is the same number than in the original irregular
          time series (i.e., `length(x)' 

  deltat: the time interval between two observations in the regulated
          time series 

    rule: the rule to use for extrapolated values (outside of the range
          in the initial irregular time series) in the regular time
          series. With `rule=1' (by default), these entries are not
          calculated and get `NA'; with `rule=2', these entries are
          extrapolated 

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

     Observed values are connected by lines and interpolated values are
     obtained from this "polyline".

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

     An object of type 'regul' is returned. It has methods `print()',
     `summary()', `plot()', `lines()', `identify()', `hist()',
     `extract()' and `specs()'.

_N_o_t_e:

     This function uses `approx()' for internal calculations

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

     Frdric Ibanez (ibanez@obs-vlfr.fr), Philippe Grosjean
     (phgrosjean@sciviews.org)

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

     `regul', `regarea', `regconst', `regspline', `regul.screen',
     `regul.adj', `tseries', `is.tseries', `approxfun'

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

     data(releve)
     reg <- reglin(releve$Day, releve$Melosul)
     plot(releve$Day, releve$Melosul, type="l")
     lines(reg$x, reg$y, col=2)

