tau package:boot R Documentation _T_a_u _P_a_r_t_i_c_l_e _D_e_c_a_y _M_o_d_e_s _D_e_s_c_r_i_p_t_i_o_n: The 'tau' data frame has 60 rows and 2 columns. The tau particle is a heavy electron-like particle discovered in the 1970's by Martin Perl at the Stanford Linear Accelerator Center. Soon after its production the tau particle decays into various collections of more stable particles. About 86% of the time the decay involves just one charged particle. This rate has been measured independently 13 times. The one-charged-particle event is made up of four major modes of decay as well as a collection of other events. The four main types of decay are denoted rho, pi, e and mu. These rates have been measured independently 6, 7, 14 and 19 times respectively. Due to physical constraints each experiment can only estimate the composite one-charged-particle decay rate or the rate of one of the major modes of decay. Each experiment consists of a major research project involving many years work. One of the goals of the experiments was to estimate the rate of decay due to events other than the four main modes of decay. These are uncertain events and so cannot themselves be observed directly. _U_s_a_g_e: tau _F_o_r_m_a_t: This data frame contains the following columns: '_r_a_t_e' The decay rate expressed as a percentage. '_d_e_c_a_y' The type of decay measured in the experiment. It is a factor with levels '1', 'rho', 'pi', 'e' and 'mu'. _S_o_u_r_c_e: The data were obtained from Efron, B. (1992) Jackknife-after-bootstrap standard errors and influence functions (with Discussion). _Journal of the Royal Statistical Society, B_, *54*, 83-127. _R_e_f_e_r_e_n_c_e_s: Davison, A.C. and Hinkley, D.V. (1997) _Bootstrap Methods and Their Application_. Cambridge University Press. Hayes, K.G., Perl, M.L. and Efron, B. (1989) Application of the bootstrap statistical method to the tau-decay-mode problem. _Physical Review, D_, *39*, 274-279.