QualityWeights             package:limma             R Documentation

_S_p_o_t _Q_u_a_l_i_t_y _W_e_i_g_h_t_s

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

     Functions to calculate quality weights for individual spots based
     on image analyis output file.

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

     wtarea(ideal=c(160,170))
     wtflags(weight=0,cutoff=0)
     wtIgnore.Filter

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

   ideal: numeric vector giving the ideal area or range of areas for a
          spot in pixels

  weight: weight to be given to flagged spots

  cutoff: cutoff value for 'Flags' below which spots will be
          downweighted

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

     These functions can be passed as an argument to 'read.maimages' to
     construct quality weights as the microarray data is read in.

     'wtarea' downweights unusually small or large spots and is
     designed for SPOT output. It gives weight 1 to spots which have
     areas in the ideal range, given in pixels, and linearly
     downweights spots which are smaller or larger than this range.

     'wtflags' is designed for GenePix output and gives the specified
     weight to spots with 'Flags' value less than the 'cutoff' value.
     Choose 'cutoff=0' to downweight all flagged spots. Choose
     'cutoff=-50' to downweight bad or absent spots or 'cutoff=-75' to
     downweight only spots which have been manually flagged as bad.

     'wtIgnore.Filter' is designed for QuantArray output and sets the
     weights equal to the column 'Ignore Filter' produced by
     QuantArray. These weights are 0 for spots to be ignored and 1
     otherwise.

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

     A function which takes a dataframe or matrix as argument and
     produces a numeric vector of weights between 0 and 1

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

     Gordon Smyth

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

     An overview of LIMMA functions for reading data is given in
     03.ReadingData.

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

     #  Read in spot output files from current directory and give full weight to 165
     #  pixel spots.  Note: for this example to run you must set fnames to the names
     #  of actual spot output files (data not provided).
     ## Not run: 
     RG <- read.maimages(fnames,source="spot",wt.fun=wtarea(165))
     #  Spot will be downweighted according to weights found in RG
     MA <- normalizeWithinArrays(RG,layout)
     ## End(Not run)

