ustemp                package:SemiPar                R Documentation

_U._S. _t_e_m_p_e_r_a_t_u_r_e _d_a_t_a

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

     The 'ustemp' data frame has 56 observations on the temperature and
     location of 56 U.S. cities.

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

     data(ustemp)

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

     This data frame contains the following columns:

     _c_i_t_y character string giving name of city and state  (two-letter
          abbreviation).

     _m_i_n._t_e_m_p average minimum January temperature.

     _l_a_t_i_t_u_d_e degrees latitude (north of Equator).

     _l_o_n_g_i_t_u_d_e degrees longitude (west of Greenwich).

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

     Peixoto, J.L. (1990). A property of well-formulated polynomial
     regression models. _American Statistician_, *44*, 26-30.

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

     Ruppert, D., Wand, M.P. and Carroll, R.J. (2003)
      _Semiparametric Regression_ Cambridge University Press.
      <URL: http://stat.tamu.edu/~carroll/semiregbook/>

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

     library(SemiPar)
     data(ustemp)
     attach(ustemp)
     grey.levs <- min.temp+20
     col.vec <- paste("grey",as.character(grey.levs),sep="")
     plot(-longitude,latitude,col=col.vec,pch=16,cex=3,xlim=c(-130,-60))
     text(-longitude,latitude,as.character(city))

