Browsing Brazilian Portuguese translation

1507.

[tab]If a <repl>maxlag</repl> value is specified the length of the
[tab]cross-correlogram is limited to at most that number of leads and
[tab]lags, otherwise the length is determined automatically, as a
[tab]function of the frequency of the data and the number of
[tab]observations.

1508.

/View/Cross-correlogram

1509.

display row percentages

1510.

display column percentages

1511.

display zero entries

1512.

use frequencies from named matrix

1513.

Displays a contingency table or cross-tabulation for each
[tab]combination of the variables included in <repl>ylist</repl>; if a
[tab]second list <repl>xlist</repl> is given, each variable in
[tab]<repl>ylist</repl> is cross-tabulated by row against each variable
[tab]in <repl>xlist</repl> (by column). Variables in these lists can
[tab]be referenced by name or by number. Note that all the variables
[tab]must have been marked as discrete. Alternatively, if the
[tab]<lit>--matrix</lit> option is given, treat the named matrix as
[tab]a precomputed set of frequencies and display this as a
[tab]cross-tabulation.

1514.

[tab]By default the cell entries are given as frequency counts. The
[tab]<lit>--row</lit> and <lit>--column</lit> options (which are
[tab]mutually exclusive), replace the counts with the percentages for
[tab]each row or column, respectively. By default, cells with a zero
[tab]count are left blank; the <lit>--zeros</lit> option, which has the
[tab]effect of showing zero counts explicitly, may be useful for
[tab]importing the table into another program, such as a spreadsheet.

1515.

Pearson's chi-square test for independence is displayed if the
expected frequency under independence is at least 1.0e-7 for all
cells. A common rule of thumb for the validity of this statistic is
that at least 80 percent of cells should have expected frequencies
of 5 or greater; if this criterion is not met a warning is printed.

1516.

[tab]If the contingency table is 2 by 2, Fisher's Exact Test for
[tab]independence is computed. Note that this test is based on the
[tab]assumption that the row and column totals are fixed, which may or
[tab]may not be appropriate depending on how the data were generated.
[tab]The left p-value should be used when the alternative to
[tab]independence is negative association (values tend to cluster
[tab]in the lower left and upper right cells); the right p-value should
[tab]be used if the alternative is positive association. The two-tailed
[tab]p-value for this test is calculated by method (b) in Agresti
[tab](1992, section 2.1): it is the sum of the probabilities of all
[tab]possible tables having the given row and column totals and having
[tab]a probability less than or equal to that of the observed table.