Mrode              package:GeneticsPed              R Documentation

_P_e_d_i_g_r_e_e _a_n_d _d_a_t_a _e_x_a_m_p_l_e_s

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

     Various pedigree and data examples

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

     data(Falconer5.1)
     data(Mrode2.1)
     data(Mrode3.1)

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

     'Falconer5.1' is a rather complex (inbreed) pedigree example from
     book by Falconer and Mackay (1996) - page 84 with 18 individuals
     and following columns:


     _s_u_b individual

     _f_a_t father

     _m_o_t mother

     'Mrode2.1' is an extended pedigree example from book by Mrode
     (2005) - page 27 with 6 individuals and following columns:


     _s_u_b individual

     _f_a_t father

     _m_o_t mother

     _f_a_m family

     _s_e_x sex

     _g_e_n generation

     _d_t_B date of birth

     'Mrode3.1' is a pedigree and data example from book by Mrode
     (2005) - page 43: it shows a beef breeding scenario with 8
     individuals (animals), where 5 of them have phenotypic records
     (pre-weaning gain) and 3 three of them are without records and
     link others through the pedigree:


     _c_a_l_f calf

     _s_e_x sex of a calf

     _s_i_r_e father of a calf

     _d_a_m mother of a calf

     _p_w_g pre-weaning gain of a calf in kg

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

     Falconer, D. S. and Mackay, T. F. C. (1996) Introduction to
     Quantitative Genetics. 4th edition. Longman, Essex, U.K. <URL:
     http://www.amazon.com/gp/product/0582243025>

     Mrode, R. A. (2005) Linear models for the prediction of animal
     breeding values. 2nd edition. CAB International. ISBN
     0-85199-000-2 <URL: http://www.amazon.com/gp/product/0851990002>

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

       data(Falconer5.1)
       Pedigree(x=Falconer5.1, subject="sub", ascendant=c("fat", "mot"))

       data(Mrode2.1)
       Mrode2.1$dtB <- as.Date(Mrode2.1$dtB)
       Pedigree(x=Mrode2.1, subject="sub", ascendant=c("fat", "mot"),
                ascendantSex=c("M", "F"), family="fam", sex="sex",
                generation="gen", dtBirth="dtB")

       data(Mrode3.1)
       Pedigree(x=Mrode3.1, subject="calf", ascendant=c("sire", "dam"),
                ascendantSex=c("Male", "Female"), sex="sex")

