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  2. Help:Advanced table formatting - Wikipedia

    en.wikipedia.org/wiki/Help:Advanced_table_formatting

    Solution: divide one of the tall cells so that the row gets one rowspan=1 cell (and don't mind the eventual loss of text-centering). Then kill the border between them. Don't forget to fill the cell with nothing ({}). This being the only solution that correctly preserves the cell height, matching that of the reference seven row table.

  3. Help:Table - Wikipedia

    en.wikipedia.org/wiki/Help:Table

    By default, text is aligned to the vertical middle of the cell. See: Template:Vertical align rows. It allows one to set all rows in a table to be either top or bottom aligned. {} CSS can be used to align individual cells, or single rows.

  4. Pivot table - Wikipedia

    en.wikipedia.org/wiki/Pivot_table

    Column labels are used to apply a filter to one or more columns that have to be shown in the pivot table. For instance if the "Salesperson" field is dragged to this area, then the table constructed will have values from the column "Sales Person", i.e., one will have a number of columns equal to the number of "Salesperson". There will also be ...

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  6. Split graph - Wikipedia

    en.wikipedia.org/wiki/Split_graph

    Royle (2000) showed that n-vertex split graphs are in one-to-one correspondence with certain Sperner families. Using this fact, he determined a formula for the number of nonisomorphic split graphs on n vertices. For small values of n, starting from n = 1, these numbers are 1, 2, 4, 9, 21, 56, 164, 557, 2223, 10766, 64956, 501696, ...

  7. Table (information) - Wikipedia

    en.wikipedia.org/wiki/Table_(information)

    This is an injective relation: each combination of the values of the headers row (row 0, for lack of a better term) and the headers column (column 0 for lack of a better term) is related to a unique cell in the table: Column 1 and row 1 will only correspond to cell (1,1); Column 1 and row 2 will only correspond to cell (2,1) etc.

  8. Mixed-design analysis of variance - Wikipedia

    en.wikipedia.org/wiki/Mixed-design_analysis_of...

    In the case of the degrees of freedom for the between-subject effects error, df BS(Error) = N k – R, where N k is equal to the number of participants, and again R is the number of levels. To calculate the degrees of freedom for within-subject effects, df WS = C – 1, where C is the number of within-subject tests.

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