unbiasB0              package:occugene              R Documentation

_U_n_b_i_a_s_e_d _E_s_t_i_m_a_t_o_r _o_f _t_h_e _N_u_m_b_e_r _o_f _N_o_n-_e_s_s_e_n_t_i_a_l _O_R_F_s

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

     Unbiased point estimate and confidence intervals for the number of
     non-essential  ORFs.

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

     unbiasB0(anno,clone,iter=1000,seed=NULL,alpha=0.05,TR=TRUE)

_A_r_g_u_m_e_n_t_s:

    anno: 2-column matrix of annotation

   clone: Vector of insertions

    iter: Number of iterations for the bootstrap

    seed: Seed for the random number generator

   alpha: Type I error

      TR: Report a trace

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

     Fits a parametric function to the cumulative occupancy
     distribution. Uses a parametric bootstrap to correct for bias and
     find confidence intervals for  the number of non-essential ORFs.

_V_a_l_u_e:

      b0: Unbiased point estimate

      CI: Confidence interval at the alpha specified

_A_u_t_h_o_r(_s):

     Oliver Will owill4@yahoo.com

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

     See the book chapter O. Will (**) in **

_S_e_e _A_l_s_o:

     fFit

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

     data(sampleAnnotation)
     data(sampleInsertions)
     anno <- cbind(sampleAnnotation$first,sampleAnnotation$last)
     clone <- sampleInsertions$position
     TR <- TRUE
     iter <- 10
     seed <- 4
     unbiasB0(anno,clone,iter,seed,TR=TR)

