contrastsFitM           package:maigesPack           R Documentation

_C_o_m_p_u_t_e _C_o_n_t_r_a_s_t_s _f_r_o_m _L_i_n_e_a_r _M_o_d_e_l _F_i_t

_D_e_s_c_r_i_p_t_i_o_n:

     Given a linear model fit to microarray data, compute estimated
     coefficients and standard errors for a given set of contrasts.
     This function was adapted from 'contrasts.fit' of the _limma_
     package.

_U_s_a_g_e:

     contrastsFitM(fit, contrasts)

_A_r_g_u_m_e_n_t_s:

     fit: an 'MArrayLM' object or a list object produced by the
          function 'lm.series' or equivalent.

contrasts: numeric matrix with row corresponding to coefficients in fit
          and columns containing contrasts. May be a vector if there is
          only one contrast.

_D_e_t_a_i_l_s:

     This function was adapted from the equivalent 'contrasts.fit'
     limma's function to do the linear model fit without use the
     empirical Bayes method given by the function 'eBayes'.

_V_a_l_u_e:

     The result of this function is an object of class 'MArrayLM'.

_A_u_t_h_o_r(_s):

     Gustavo H. Esteves <gesteves@vision.ime.usp.br>, adapted from the
     limma's function.

_S_e_e _A_l_s_o:

     'lmFit', 'contrasts.fit', 'eBayes', 'MArrayLM'.

