hormone              package:bootstrap              R Documentation

_H_o_r_m_o_n_e _D_a_t_a _f_r_o_m _p_a_g_e _1_0_7

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

     The hormone data. Amount in milligrams of anti-inflammatory
     hormone remaining in 27 devices, after a certain number of hours
     (hrs) of wear.

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

     data(hormone)

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

     A data frame with 27 observations on the following 3 variables.

     _L_o_t a character vector

     _h_r_s a numeric vector

     _a_m_o_u_n_t a numeric vector

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

     The hormone data. Amount in milligrams of anti-inflammatory
     hormone remaining in 27 devices, after a certain number of hours
     (hrs) of wear. The devices were sampled from 3 different
     manufacturing lots,  called A, B and C. Lot C looks like it had
     greater amounts of remaining hormone, but it also was worn the
     least number of hours. 

     The book uses this as an example for regression analysis.

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

     Efron, B. and Tibshirani, R. (1993) An Introduction to the
     Bootstrap.  Chapman and Hall, New York, London.

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

     str(hormone) 
     if(interactive())par(ask=TRUE)
     with(hormone, stripchart(amount ~ Lot))
     with(hormone, plot(amount ~ hrs, pch=Lot))
     abline( lm(amount ~ hrs, data=hormone, col="red2"))

