FLCohort               package:FLCore               R Documentation

_C_l_a_s_s _F_L_C_o_h_o_r_t

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

     This class represents cohorts in columns. It simply shifts the
     typical matrix representation where cohorts are found on the
     diagonals, into a matrix where cohorts are found in columns. It is
     very usefull for all analysis that want to make use of cohorts
     instead of years.

_S_l_o_t_s:


     ._D_a_t_a Internal S4 data representation. 'array'.

     _u_n_i_t_s The data units in some understandable metric. 'character'

_E_x_t_e_n_d_s:


          FLArray array

_M_e_t_h_o_d_s:


     [(_b_a_s_e) : Subset method

      ' signature(x=FLCohort,i=ANY,j=ANY,drop=missing) '

     _a_s._d_a_t_a._f_r_a_m_e(_b_a_s_e) : Coerce to data.frame.

      ' signature(x=FLCohort,row.names=ANY,optional=ANY) '

     _b_u_b_b_l_e_s(_F_L_C_o_r_e) : Bubbles plot.

      ' signature(x=formula,data=FLCohort) '

     _c_c_p_l_o_t(_F_L_C_o_r_e) : Catch curves plot.

      ' signature(x=formula,data=FLCohort) '

     _f_l_c_2_f_l_q(_F_L_C_o_r_e) : Coerce to FLQuant (deprecated).

      ' signature(object=missing) '

     _F_L_C_o_h_o_r_t(_F_L_C_o_r_e) : Creator method based on FLQuant objects.

      ' signature(object=FLQuant) '

     _p_l_o_t(_g_r_a_p_h_i_c_s) : Simple plot

      ' signature(x=FLCohort,y=ANY) '

     _q_u_a_n_t(_F_L_C_o_r_e) : Extract the quant dimension definition.

      ' signature(object=missing) '

     _t_r_i_m(_F_L_C_o_r_e) : Subset based on limiting dimnames.

      ' signature(object=missing) '

     _u_n_i_t_s(_b_a_s_e) : Extract the information about data units.

      ' signature(x=missing) '

     _u_n_i_t_s<-(_b_a_s_e) : Replace data units information.

      ' signature(x=FLCohort,value=character) '

     _x_y_p_l_o_t(_l_a_t_t_i_c_e) : Lattice's xyplot method.

      ' signature(x=formula,data=FLCohort) '

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

     The FLR Team

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

     [, as.data.frame, bubbles, ccplot, FLCohort,FLQuant-method,
     flc2flq, plot, quant, trim, units,
     units<-,FLCohort,character-method, xyplot, array

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

     data(ple4)
     flq <- catch.n(ple4)
     flc <- FLCohort(flq)
     plot(trim(flc, cohort=1960:2000))

