"FCSsummary-class"         package:rflowcyt         R Documentation

_C_l_a_s_s "_F_C_S_s_u_m_m_a_r_y" _S_u_m_m_a_r_y _o_b_j_e_c_t _f_o_r _a "_F_C_S-_c_l_a_s_s"

_D_e_s_c_r_i_p_t_i_o_n:

     The data summary statistics along with metadata output help
     summarize a "FCS-class" object using the "summary" method.

_O_b_j_e_c_t_s _f_r_o_m _t_h_e _C_l_a_s_s:

     Objects can be created by calls of the form 'new("FCSsummary",
     ...)'.

_S_l_o_t_s:

     '_n_u_m._c_e_l_l_s': Object of class '"numeric"' the number of cells or
          rows from the data

     '_n_u_m._p_a_r_a_m': Object of class '"numeric"' the number of parameters
          or columns from the data

     '_u_n_i_v_a_r_i_a_t_e._s_t_a_t': Object of class '"matrix"' five-number summary
          including the standard deviation of all the column variables 

     '_m_e_t_a_d_a_t_a._i_n_f_o': Object of class '"list"' with the following
          slots: "Description", "ColumnParametersSummary", and
          "fcsinfoNames". 

_M_e_t_h_o_d_s:

     "_p_r_i_n_t-_m_e_t_h_o_d_s" 'signature(x = "FCSsummary")': prints the output
          of the summary statistics of the data and the metadata

     "_s_h_o_w-_m_e_t_h_o_d_s" 'signature(object = "FCSsummary")': same as "print"

_A_u_t_h_o_r(_s):

     A.J. Rossini, J.Y. Wan, and Zoe Moodie

_R_e_f_e_r_e_n_c_e_s:

     Trevor Hastie, Robert Tibshirani, and Jerome Friedman. The
     Elements of Statistical Learning: Data Mining, Inference, and
     Prediction. Springer Series in Statistics : New York, 2001.
     pp.279-283.

     Jerome H. Friedman and Nicholas I. Fisher. Bump Hunting in
     High-Dimensional Data. Tech Report. October 28, 1998.

     J. Paul Robinson, et al. Current Protocols in Cytometry.  John
     Wiley & Sons, Inc : 2001.

     Mario Roederer and Richard R. Hardy. Frequency Difference Gating:
     A Multivariate Method for Identifying Subsets that Differe between
     Samples. Cytometry, 45:56-64, 2001.

     Mario Roederer and Adam Treister and Wayne Moore and Leonore A.
     Herzenberg. Probability Binning Comparison: A Metric for
     Quantitating Univariate Distribution Differences. Cytometry,
     45:37-46, 2001.

     Keith A. Baggerly. Probability Binning and Testing Agreement
     between Multivariate Immunofluorescence Histograms: Extending the
     Chi-Squared Test. Cytometry, 45:141-150, 2001.

_S_e_e _A_l_s_o:

     '"FCS-class"', '"show-methods"', '"print-methods"'

_E_x_a_m_p_l_e_s:

     default.sum<-new("FCSsummary")

     ## show, print
     default.sum

