rent                  package:hett                  R Documentation

_R_e_n_t _f_o_r _L_a_n_d _P_L_a_n_t_e_d _t_o _A_l_f_a_l_f_a

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

     Dataset collected in 1977 from Minnesota to study the variation in
     land rented for growing alfalfa

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

     data(rent)

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

     A data frame with 67 observations on the following 5 variables.

     _R_e_n_t a numeric vector average rent per acre.

     _A_l_l_R_e_n_t a numeric vector describing average rent paid for all
          tillable land.

     _C_o_w_s a numeric vector describing the density of dairy cows (number
          per square mile).

     _P_a_s_t_u_r_e a numeric vector describing the proportion of farmland
          used as pasture.

     _L_i_m_i_n_g a factor with levels 'No' if no liming is required to grow
          alfalfa and 'Yes' if it does.

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

     Weisberg, S (1985). _Applied Linear Regression_ Wiley: New York

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

     library(lattice)
     data(rent, package = "hett")
     attach(rent)
     xyplot(log(Rent/AllRent) ~ sqrt(Cows), groups = Liming, panel = panel.superpose) 

