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It is traditionally applied to the contingency table of a pair of nominal variables where each cell contains either a count or a zero value. If more than two categorical variables are to be summarized, a variant called multiple correspondence analysis should be chosen instead. CA may also be applied to binary data given the presence/absence coding
Graphical examination of count data may be aided by the use of data transformations chosen to have the property of stabilising the sample variance. In particular, the square root transformation might be used when data can be approximated by a Poisson distribution (although other transformation have modestly improved properties), while an inverse sine transformation is available when a binomial ...
A table cell is one grouping within a chart table used for storing information or data. Cells are grouped horizontally (rows of cells) and vertically (columns of cells). Each cell contains information relating to the combination of the row and column headings it is collinear
Consecutive table header cells may be added on the same line separated by double marks (!!); or start on new lines, each with its own single mark (!). Table data cell | or || Optional Consecutive table data cells may be added on the same line separated by double marks (||) or start on new lines, each with its own single mark (|).
The average silhouette of the data is another useful criterion for assessing the natural number of clusters. The silhouette of a data instance is a measure of how closely it is matched to data within its cluster and how loosely it is matched to data of the neighboring cluster, i.e., the cluster whose average distance from the datum is lowest. [8]
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tableno - the number of the table to use, if there is more than one table on the page. Defaults to 1. ignore - the number of rows to ignore. If specified, the template subtracts this number of rows from the count. This is useful if you do not need to count header rows at the top or bottom. Count rows, not lines of text within those rows.