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    Names: »contab.man«

└─⟦a0efdde77⟧ Bits:30001252 EUUGD11 Tape, 1987 Spring Conference Helsinki
    └─⟦this⟧ »EUUGD11/stat-5.3/eu/stat/doc/contab.man« 

TextFile

CONTAB(1)                          |STAT                   February 3, 1987

NAME
     contab - contingency table and chi-square analysis

SYNOPSIS
     contab [-bsy] [-i nfactors] [-c entries] [factor names]

OPTIONS
     -b   Use blank lines to make frequency tables more readable.  This
          option is recommended when the cells are filled with values from
          the cell entry format option.

     -c cell-entries
          Choose table cell entries from expected values (e), differences
          of obtained and expected frequencies (d), all percentages (p),
          row percentages (r), column percentages (c), or cell percentages
          of the total count (t).

     -i nfactors
          Maximum number of factors in interactions.  By default, all
          interactions are analyzed, however, it may be that only those
          contingency tables involving one or two factors will be of
          interest.

     -s   Do not print significance tests (only print tables).

     -y   Do not apply Yates' correction for continuity for chi-square
          tests with one degree of freedom.

DESCRIPTION
     Hays (1973) warns ``...there is probably no other statistical method
     that has been so widely misapplied.'' (p. 735).  Contingency tables
     and chi-square are used to summarize and test for association between
     frequencies of events.

     Input Format
     The input format is simple.  Each cell frequency is preceded by codes
     of the levels of factors under which it was obtained.  For example, if
     rats are categorized by age and are further categorized by the length
     of their tails, the contingency data would look like:
               young     long      12
               old       long      10
               young     short     30
               old       short      2
               young     short      3

     Note that the cell frequencies for young short-tailed rats add up to
     33.

     The most important assumption for the input data is that all
     frequencies are independent.  For example, each subject in an
     experiment must contribute one and only one count to one cell.  Also,
     if more than a small percentage of expected cell frequencies are
     small, then the chi-square statistic may be invalid.  A text should be
     consulted.

     Output
     _▶08◀c_▶08◀o_▶08◀n_▶08◀t_▶08◀a_▶08◀b prints a summary of the names and number of levels of factors.
     For main effects, a frequency table and significance test of deviation
     from equal cell frequencies is printed.  For each two-way interaction,
     a contingency table and test for independence is printed.  Yates'
     correction for continuity is applied whenever there is one degree of
     freedom.  For total cell frequencies in 2x2 tables up to 100, the
     Fisher exact test is computed for both one and two tailed cases.  A
     text should be used to interpret the output statistics.
ALGORITHM
     The calculation of chi-square is standard for designs with more than
     one degree of freedom and adequate expected cell frequencies.
     Different texts have different methods for corrections for small
     designs.  The methods used here reflect several sources.

     When there is one degree of freedom, small cell frequencies can bias
     the chi-square test.  Yates' correction for continuity reduces the
     absolute differences of obtained and expected frequencies by up to
     0.5, following the discussion by Fisher (1970) in ``Statistical
     Methods for Research Workers.'' The Fisher Exact test for 2x2 tables
     is drawn from Bradley (1968) ``Distribution-Free Statistical Tests.''
     The two-tailed calculation has only been tested against Bradley's one
     example.

FILES
     UNIX           /tmp/contab.????
     MSDOS          contab.tmp

STATUS
     This is the second version of the program.  Later versions will have
     tests of association for contingency tables with greater than 2
     dimensions.  The ability to supply expected frequencies may be added
     if there is demand.  Suggestions are welcome.

LIMITS
     Use the -L option to determine the program limits.