or.table

Computes the odds ratio for every cells of the cross-tabulation between two categorical variables

 multivariate

 misc 

Description of statistical associations between two variables : measures of local and global association between variables (phi, Cramér V, correlations, eta-squared, Goodman and Kruskal tau, permutation tests, etc.), multiple graphical representations of the associations between two variables (using 'ggplot2') and weighted statistics.

Nicolas Robette

descriptio

Descriptive Statistical Analysis

or.table function

<dl> <dt>x</dt>
<dd>the first categorical variable</dd> <dt>y</dt>
<dd>the second categorical variable</dd> <dt>weights</dt>
<dd>numeric vector of weights. If NULL (default), uniform weights (i.e. all equal to 1) are used.</dd> <dt>na.rm</dt>
<dd>logical, indicating whether NA values should be silently removed before the computation proceeds. If FALSE (default), an additional level is added to the variables (see na.value argument).</dd> <dt>na.value</dt>
<dd>character. Name of the level for NA category. Default is "NA". Only used if na.rm = FALSE.</dd> <dt>digits</dt>
<dd>integer. The number of digits (default is 3). If NULL, the results are not rounded.</dd></dl>

Arguments

Author

Computes the odds ratios for every cells of a contingency table — or.table

<dl>

 <dt>x</dt>
<dd>the first categorical variable</dd>

 <dt>y</dt>
<dd>the second categorical variable</dd>

 <dt>weights</dt>
<dd>numeric vector of weights. If NULL (default), uniform weights (i.e. all equal to 1) are used.</dd>

 <dt>na.rm</dt>
<dd>logical, indicating whether NA values should be silently removed before the computation proceeds. If FALSE (default), an additional level is added to the variables (see na.value argument).</dd>

 <dt>na.value</dt>
<dd>character. Name of the level for NA category. Default is "NA". Only used if na.rm = FALSE.</dd>

 <dt>digits</dt>
<dd>integer. The number of digits (default is 3). If NULL, the results are not rounded.</dd>

</dl>

or.table: Computes the odds ratios for every cells of a contingency table

Description

Usage

Value

Arguments

Author

See Also

Examples