fat                  package:UsingR                  R Documentation

_B_o_d_y _m_e_a_s_u_r_e_m_e_n_t_s _t_o _p_r_e_d_i_c_t _p_e_r_c_e_n_t_a_g_e _o_f _b_o_d_y _f_a_t _i_n _m_a_l_e_s

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

     A data set containing many physical measurements of 252 males.
     Most of the variables can be measured with a scale or tape
     measure. Can they be used to predict the percentage of body fat?
     If so, this offers an easy alternative to an underwater weighing
     technique.

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

     data(fat)

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

     A data frame with 252 observations on the following 19 variables.

     _c_a_s_e Case Number

     _b_o_d_y._f_a_t Percent body fat using Brozek's equation,  457/Density -
          414.2

     _b_o_d_y._f_a_t._s_i_r_i Percent body fat using Siri's equation,  495/Density
          - 450

     _d_e_n_s_i_t_y Density (gm/cm^2)

     _a_g_e Age (yrs)

     _w_e_i_g_h_t Weight (lbs)

     _h_e_i_g_h_t Height (inches)

     _B_M_I Adiposity index = Weight/Height^2 (kg/m^2)

     _f_f_w_e_i_g_h_t Fat Free Weight  = (1 - fraction of body fat) * Weight,  
                   using Brozek's formula (lbs)

     _n_e_c_k Neck circumference (cm)

     _c_h_e_s_t Chest circumference (cm)

     _a_b_d_o_m_e_n Abdomen circumference (cm) "at the umbilicus  and level
          with the iliac crest"

     _h_i_p Hip circumference (cm)

     _t_h_i_g_h Thigh circumference (cm)

     _k_n_e_e Knee circumference (cm)

     _a_n_k_l_e Ankle circumference (cm)

     _b_i_c_e_p Extended biceps circumference (cm)

     _f_o_r_e_a_r_m Forearm circumference (cm)

     _w_r_i_s_t Wrist circumference (cm) "distal to the  styloid processes"

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

     From the source:

     "The data are as received from Dr. Fisher.  Note, however, that
     there are a few errors.  The body densities for cases 48, 76, and
     96, for instance, each seem to have one digit in error as can be
     seen from the two body fat percentage values.  Also note the
     presence of a man (case 42) over 200 pounds in weight who is less
     than 3 feet tall (the height should presumably be 69.5 inches, not
     29.5 inches)!  The percent body fat estimates are truncated to
     zero when negative (case 182)."

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

     This data set comes from the collection of the _Journal of
     Statistics Education_ at <URL:
     http://www.amstat.org/publications/jse/datasets/fat.txt>. The data
     set was contributed by Roger W. Johnson.

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

     The source of the data is attributed to Dr. A. Garth Fisher, Human
     Performance Research Center, Brigham Young University, Provo, Utah
     84602,

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

     data(fat)
     f = body.fat ~ age + weight + height + BMI + neck + chest + abdomen +
     hip + thigh + knee + ankle + bicep + forearm + wrist
     res = lm(f, data=fat)
     summary(res)

