spkPot               package:spkTools               R Documentation

_P_r_o_b_a_b_i_l_i_t_y _o_f _b_e_i_n_g _i_n _t_h_e _T_o_p

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

     Compute the probability that a spike-in with a nominal fold change
     of 2 appears in the the top 0.5% (default) of log-ratios.

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

     spkPot(object, spkSlopeOut, sig, SD, precisionQuantile)

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

  object: a SpikeInExpressionSet object

spkSlopeOut: the output from the spkSlope function

     sig: the signal detect slopes from a call to spkSlope

      SD: the standard deviation from spkAccSD

precisionQuantile: the desired quantile to compute the probability of
          being above

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

     A vector of probabilities for each ALE strata.

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

     Matthew N. McCall

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

     data(affy)
     affySlope <- spkSlope(affy)
     affyAccSD <- spkAccSD(affy, affySlope)
     spkPot(affy, affySlope, affySlope$slopes, affyAccSD, .995)

