12 Tables Builder — Tables Builder
As with base categories, you can control whether empty cells are shown or hidden on the dialog
launched by the Show/hide coefficient styles button.
We put this discussion in Changing row and column headers because showing or hiding factor-
variable base levels adds or removes entire rows or columns from the table, including their headers.
Show/hide omitted coefficients
Regressions and other estimators require that covariates not be collinear. If they are, this is flagged
in the output with a 0 coefficient and an (omitted) note. By default, tables produced by the Builder
include collinear covariates with 0s for coefficients or means, and blanks for standard errors and other
statistics about the coefficient or mean.
You can specify that collinear covariates instead be dropped from the results by clicking on the
Show/hide coefficient styles button. On the resulting dialog, select Show omitted coefficients, and
then click on the Off radio button.
Changing cell/results appearance
You can change just about anything about how the values in your table look—numeric formats,
borders, horizontal and vertical rules, bolding, italics, font, text color, cell color, margins, justification,
and more. This is all done in the dialog launched by the Cell appearance styles button.
If you want to change the default look of everything on the table, including the headers, click
on the radio button labeled Edit base style. Then click on one of the tabs—Borders, Diagonals,
Fonts, Shading, Margins, Alignments, or Formats. Whatever changes you make on those tabs will
apply to all text or cells throughout the entire table, both cells in the body of the table and in the
headers. Because you are modifying the base appearance, if you have previously made changes to
more specific tags (dimensions and levels), those changes will still be applied.
To make changes that override the default appearance for everything, first click on the radio button
labeled Edit styles for specified tags.
If you want to change the appearance of only the results and cells in the body of the table, and
not the headers, then select the dimension Table cell type (cell type) and select the level item. Now
any changes you make on the other tabs applies to all results and cells in the main body of the table,
and not to any of the headers.
You can be specific about which results are affected by the appearance changes you make on the
other tabs. For example, if your table has regression results, you could select the Result (result)
dimension, then select Coefficient ( r b). Any changes you make after that affect only the coefficients.
You might then click on the Formats tab and change the format type to Fixed numeric with 2 digits
to the right of the decimal. You could make the same changes to the Std. error ( r se) and 95%
CI ( r ci) by repeating the process on those levels.
You can get even more specific. So far, we have picked only one dimension. The Main tab of
the dialog allows you to pick up to 10 dimensions. Continuing with the regression example from
the prior paragraph, after selecting Coefficient ( r b) from the Result (result) dimension, we might
now pick a second dimension, say, Covariate names and column names (colname). Imagine we are
trying to highlight the results from one of the covariates in our regression. We would then select that
covariate from the Level drop-down list. So we have two things: the coefficient and the covariate
we want to emphasize. With those two tags chosen, any changes we make on the other tabs affect
only the coefficient and our chosen covariate. We can highlight those results any way we wish—bold,
italics, text color, cell color, etc. You could make the same changes to the Std. error ( r se) and
95% CI ( r ci) of the covariate by repeating the process on those levels.