SPPREV            package:PresenceAbsence            R Documentation

_O_v_e_r_a_l_l _P_r_e_a_v_a_l_e_n_c_e_s _f_o_r _S_p_e_c_i_e_s _P_r_e_s_e_n_c_e/_A_b_s_e_n_c_e _D_a_t_a

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

     This data set is summary prevalence for Presence/Absence data for
     13 species from 1930 forested locations. 'SPPREV' is the
     prevalence data from the full dataset (training and test data).
     Note that 'SPDATA' is the model predictions from the test data
     subset (20 percent of total plots) of this original dataset, and
     therefore the species in 'SPDATA' have slightly different
     prevalence than the overall prevalence given in 'SPPREV'.

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

     data(SPDATA)

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

     A data frame with data for 13 species. Dataframe consists of
     species names, number of plots where the species was present, and
     the overall prevalence for each species:

     '_S_P_E_C_I_E_S' a character vector of species codes

     '_N_U_M_P_L_O_T_S' a numeric vector of plot counts

     '_P_R_E_V' a numeric vector of prevalence

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

     This dataset is from:

     Moisen, G.G., Freeman, E.A., Blackard, J.A., Frescino, T.S.,
     Zimmerman N.E., Edwards, T.C. Predicting tree species presence and
     basal area in Utah: A comparison of stochastic gradient boosting,
     generalized additive models, and tree-based methods. Ecological
     Modellng, 199 (2006) 176-187.

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

     data(SPPREV)

